Home
Search results “Classification of values in business”
Values & Attitudes: Introduction to Ethics
 
21:41
Dr. Manishika Jain in this video explains the concept of ethics and the basis for ethics - VAME - Values, Attitudes, Morality and Ethics. In this session values and attitudes are explained in detailed. The types and process of development are explained. For Attitude ABC model is also discussed. The next lecture will focus on Morality and Ethics and the differences between the two. For complete study material visit - https://www.doorsteptutor.com/Exams/IAS/Mains/ Importance of VAME @1:42 @2:42 Values @4:00 How are Values Developed @9:11 Importance of Values @9:27 Types of Values #9:51 Terminal & Instrumental Values @10:10 Instrumental & Intrinsic Values @11:49 Attitudes @12:18 Process of Attitude Generation @15:03 Components of Attitude (ABC) @16:25 Functions of Attitude @17:34 Difference between Attitudes & Values @18:47 Interest @20:22 #Obedience #Instrumental #Terminal #Abstract #Honesty #Pragmatic #Consistency #Attitudes #Ethics #Manishika #Examrace Examrace is number 1 education portal for competitive and scholastic exam like UPSC, NET, SSC, Bank PO, IBPS, NEET, AIIMS, JEE and more. We provide free study material, exam & sample papers, information on deadlines, exam format etc. Our vision is to provide preparation resources to each and every student even in distant corners of the globe. Dr. Manishika Jain served as visiting professor at Gujarat University. Earlier she was serving in the Planning Department, City of Hillsboro, Hillsboro, Oregon, USA with focus on application of GIS for Downtown Development and Renewal. She completed her fellowship in Community-focused Urban Development from Colorado State University, Colorado, USA.
Views: 24188 Examrace
Business Analysis Requirements Classification
 
04:10
Thecrossroad sharing our values for success. In this video you will learn about Business Analysis Requirements Classification which is useful to document Requirements
Views: 31 thecrossroad
VALS Framework - explained
 
04:33
VALS Framework ("Values, Attitudes And Lifestyles") is a proprietary research methodology used for psychographic market segmentation. Market segmentation is designed to guide companies in tailoring their products and services to appeal to the people most likely to purchase them. Reference: http://www.strategicbusinessinsights.com/vals/ustypes.shtml Created at http://www.b2bwhiteboard.com
Views: 29317 B2Bwhiteboard
Discrete and continuous random variables | Probability and Statistics | Khan Academy
 
11:56
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/e/constructing-probability-distributions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/random-variables?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 993909 Khan Academy
Ethics vs Morality (Philosophical Distinctions)
 
03:15
An explication of the common distinction drawn between ethics and morality and the use of these terms in the discipline of philosophy. Information for this video gathered from The Stanford Encyclopedia of Philosophy, The Internet Encyclopedia of Philosophy, The Cambridge Dictionary of Philosophy, The Oxford Dictionary of Philosophy and more! Information for this video gathered from The Stanford Encyclopedia of Philosophy, The Internet Encyclopedia of Philosophy, The Cambridge Dictionary of Philosophy, The Oxford Dictionary of Philosophy and more! (#Ethics #Morality)
Views: 195109 Carneades.org
Extrinsic & Intrinsic Value
 
15:38
Follow along with the eBook: https://goo.gl/bPqyr5 In this video we talk about how token economics enables us to better capture and define the concept of intrinsic value. Our traditional financial system and the basis of neoliberal free market economics is the construct of value as utility. Utility is the value that something gives to some person. In contrast to utility is intrinsic value. Intrinsic value is the value that something contributes to the maintenance and functionality of a whole system. With intrinsic value, we have a unit that values the functionality of the whole network. Twitter: https://goo.gl/ZXCzK7 Facebook: https://goo.gl/P7EadV LinkedIn: https://goo.gl/3v1vwF
Views: 891 Complexity Labs
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
 
06:20
The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 818482 Dr Nic's Maths and Stats
Scales of Measurement - Nominal, Ordinal, Interval, Ratio (Part 1) - Introductory Statistics
 
05:52
This video reviews the scales of measurement covered in introductory statistics: nominal, ordinal, interval, and ratio (Part 1 of 2). Scales of Measurement Nominal, Ordinal, Interval, Ratio YouTube Channel: https://www.youtube.com/user/statisticsinstructor Subscribe today! Lifetime access to SPSS videos: http://tinyurl.com/m2532td Video Transcript: In this video we'll take a look at what are known as the scales of measurement. OK first of all measurement can be defined as the process of applying numbers to objects according to a set of rules. So when we measure something we apply numbers or we give numbers to something and this something is just generically an object or objects so we're assigning numbers to some thing or things and when we do that we follow some sort of rules. Now in terms of introductory statistics textbooks there are four scales of measurement nominal, ordinal, interval, and ratio. We'll take a look at each of these in turn and take a look at some examples as well, as the examples really help to differentiate between these four scales. First we'll take a look at nominal. Now in a nominal scale of measurement we assign numbers to objects where the different numbers indicate different objects. The numbers have no real meaning other than differentiating between objects. So as an example a very common variable in statistical analyses is gender where in this example all males get a 1 and all females get a 2. Now the reason why this is nominal is because we could have just as easily assigned females a 1 and males a 2 or we could have assigned females 500 and males 650. It doesn't matter what number we come up with as long as all males get the same number, 1 in this example, and all females get the same number, 2. It doesn't mean that because females have a higher number that they're better than males or males are worse than females or vice versa or anything like that. All it does is it differentiates between our two groups. And that's a classic nominal example. Another one is baseball uniform numbers. Now the number that a player has on their uniform in baseball it provides no insight into the player's position or anything like that it just simply differentiates between players. So if someone has the number 23 on their back and someone has the number 25 it doesn't mean that the person who has 25 is better, has a higher average, hits more home runs, or anything like that it just means they're not the same playeras number 23. So in this example its nominal once again because the number just simply differentiates between objects. Now just as a side note in all sports it's not the same like in football for example different sequences of numbers typically go towards different positions. Like linebackers will have numbers that are different than quarterbacks and so forth but that's not the case in baseball. So in baseball whatever the number is it provides typically no insight into what position he plays. OK next we have ordinal and for ordinal we assign numbers to objects just like nominal but here the numbers also have meaningful order. So for example the place someone finishes in a race first, second, third, and so on. If we know the place that they finished we know how they did relative to others. So for example the first place person did better than second, second did better than third, and so on of course right that's obvious but that number that they're assigned one, two, or three indicates how they finished in a race so it indicates order and same thing with the place finished in an election first, second, third, fourth we know exactly how they did in relation to the others the person who finished in third place did better than someone who finished in fifth let's say if there are that many people, first did better than third and so on. So the number for ordinal once again indicates placement or order so we can rank people with ordinal data. OK next we have interval. In interval numbers have order just like ordinal so you can see here how these scales of measurement build on one another but in addition to ordinal, interval also has equal intervals between adjacent categories and I'll show you what I mean here with an example. So if we take temperature in degrees Fahrenheit the difference between 78 degrees and 79 degrees or that one degree difference is the same as the difference between 45 degrees and 46 degrees. One degree difference once again. So anywhere along that scale up and down the Fahrenheit scale that one degree difference means the same thing all up and down that scale. OK so if we take eight degrees versus nine degrees the difference there is one degree once again. That's a classic interval scale right there with those differences are meaningful and we'll contrast this with ordinal in just a few moments but finally before we do let's take a look at ratio.
Views: 316995 Quantitative Specialists
Qualitative and Quantitative Data
 
02:01
Quantitative Data vs Qualitative Data Additional Information on Qualitative vs Quantitative Data http://www.moomoomath.com/qualitative-and-quantitative-data.html Data can be divided into two groups called quantitative and qualitative data Quantitative data is numerical Qualitative Data id descriptive data Let’s look at examples of both Examples of quantitative data would be The number of pets, time of day, the temperature outside Quantitative data can be graphed If you count or measure, you are collecting quantitative data There are two types of quantitative data, discrete and continuous Discrete data is usually data you can count and continuous data is usually data you measure. I have a separate video on these two types of data. Qualitative is descriptive or observations and uses words For example, the color of a house, smell of a sock, texture of a shirt Quantitative or Qualitative Consider a cat Quantitative Data would be the cat has 4 legs and weighs 10 pounds Qualitative data would be the cat is yellow, and has soft fur A bookshelf Quantitative would be you have 50 books and is 150 centimeters tall. Qualitative data would be it is multi-color and has a smooth texture You may also enjoy.. Qualitative and Quantitative Data https://www.youtube.com/watch?v=2X-QSU6-hPU Quantitative Qualitative Song https://www.youtube.com/watch?v=-S2EiPD4-W0 -~-~~-~~~-~~-~- Please watch: "Study Skills Teacher's Secret Guide to your Best Grades" https://www.youtube.com/watch?v=f3bsg8gaSbw -~-~~-~~~-~~-~-
Views: 130257 MooMoo Math and Science
Biodiversity-Types,Importance and loss of Biodiversity
 
18:06
In this video Malvika Choudhary explains about definition of biodiversity,types(Genetic biodiversity,species biodiversity and ecosystem biodiversity)its importance and the reason behind loss of biodiversity.Its Hindi version is also available.for more information visit www.suvidhyaa.com or email at [email protected]
Views: 399866 Suvidyaa
Fair Value Hierarchy (Level 1, Level 2, Level 3)
 
07:40
This video discusses the 3-level fair value hierarchy. Assets or liabilities measured as fair value are classified into one of three levels based on the nature of the inputs that were used to determine the fair value. Level 1 fair values are based on observable inputs that reflect quoted prices for identical assets or liabilities in active markets (e.g., a share of common stock in a large publicly-traded company). Level 2 fair values are based on observable inputs that reflect quoted prices for similar assets or liabilities, or assets or liabilities that are traded in less active markets (e.g., a municipal bond). Level 2 fair values are not based on observable inputs, but are instead calculated using managerial inputs and assumptions. Edspira is your source for business and financial education. To view the entire video library for free, visit http://www.Edspira.com To like Edspira on Facebook, visit https://www.facebook.com/Edspira To sign up for the newsletter, visit http://Edspira.com/register-for-newsletter Edspira is the creation of Michael McLaughlin, who went from teenage homelessness to a PhD. The goal of Michael's life is to increase access to education so all people can achieve their dreams. To learn more about Michael's story, visit http://www.MichaelMcLaughlin.com To follow Michael on Twitter, visit https://twitter.com/Prof_McLaughlin To follow Michael on Facebook, visit https://www.facebook.com/Prof.Michael.McLaughlin
Views: 8658 Edspira
Charles Handy's Model of Organisational Culture
 
07:12
Charles Handy identified four classes of organisational culture in his classic model. These four classes of culture are briefly explained in this revision video.
Views: 24756 tutor2u
Common Stock Classifications and Values
 
05:17
Authorized stock is the number of shares determined in the original charter and can only be amended by a stockholders vote. Outstanding stock is the stock in stockholders possession. Treasury stock is repurchased stock. An equation to remember here is; Issued – Treasury = Outstanding. So Issued always = Outstanding if the firm has no Treasury Stock.
Views: 162 rnrfinance
Aswath Damodaran: "The Value of Stories in Business" | Talks at Google
 
01:31:29
The world of investing/finance is divided into two camps. In one, you have the number-crunchers, who believe that the only things that matter are the numbers and that imagination/creativity are dangerous distractions. In the other, you have the storytellers, who build on the stories they tell about companies and how these stories will bring untold wealth. Each side believes it has a monopoly on the truth and looks with contempt at the other. Prof. Damodaran contends that stories matter, but only if they are connected with numbers. And numbers are empty, unless they are connected with narratives. In this talk, he looks at the process by which one might build narratives, check them against reality and convert them into valuations. Uber and Ferrari examples are used to illustrate the process. Slides for the talk: https://goo.gl/zKVaQL Check out the book on Google Play: https://goo.gl/tnGlDe This talk was moderated by Saurabh Madaan.
Views: 90533 Talks at Google
Decision Tree 1: how it works
 
09:26
Full lecture: http://bit.ly/D-Tree A Decision Tree recursively splits training data into subsets based on the value of a single attribute. Each split corresponds to a node in the. Splitting stops when every subset is pure (all elements belong to a single class) -- this can always be achieved, unless there are duplicate training examples with different classes.
Views: 481060 Victor Lavrenko
What is elasticity? Types of price elasticity of demand (Urdu/Hindi)
 
06:40
This video tutorial will explains what is elasticity? Price elasticity of demand and types of elasticity of demand. Which includes elastic demand, inelastic demand, unitary elastic demand, perfectly elastic demand and perfectly inelastic demand. For more details log on to economicsguider.com.
Views: 149363 Economics Guider
The 4 Types Of Entrepreneurs -- Which Are You? Vancouver Business Leader Dan Lok Explains
 
10:05
★☆★BONUS FOR A LIMITED TIME★☆★ You can download Dan Lok's best-selling book F.U. Money for FREE: http://4typesofentrepreneurs.danlok.link ★☆★Subscribe to our channel★☆★ https://www.youtube.com/user/vanentrepreneurgroup?sub_confirmation=1 Dan Lok is a serial entrepreneur, best-selling author and the world’s leading expert in internet marketing and is referred to by many as the “Millionaire Mentor". Remember to Like, Share and Subscribe for more videos! Dan also sponsors Vancouver Entrepreneurs Group, which is a community of entrepreneurs at any level whether you are just thinking about starting your first business or you are an experienced entrepreneur. Vancouver Entrepreneurs Group is the Fastest Growing Business Network & Most Active Entrepreneurs Community at Vancouver Club. We get together every second Wednesday to learn and share our vision & experience! ★☆★Subscribe to our channel★☆★ https://www.youtube.com/user/vanentrepreneurgroup?sub_confirmation=1 ★☆★Share this video★☆★ https://youtu.be/FrhVUiqaG7I ★☆★Watch more videos★☆★ https://www.youtube.com/user/vanentrepreneurgroup/playlists ★☆★Join our meet up★☆★ http://www.meetup.com/Vancouver-Entrepreneurs-Group-Business-Network/ http://www.meetup.com/New-Zealand-Business-Network/ http://www.meetup.com/Toronto-Entrepreneurs-Group-Business-Network/ ★☆★Follow Dan Lok★☆★ https://www.facebook.com/groups/VancouverEntrepreneursGroup/ https://www.linkedin.com/in/danlok http://www.danlok.com/ Keywords: internet millionaire, online millionaire, internet entrepreneur, become an entrepreneur, online business, entreprenership, Dan Lok, internet marketing, build a business, how to start your own business, successful young entrepreneurs, start a business, create a business, vancouver entrepreneurs, vancouver millionaire, financial freedom, financial success, motivation speech, motivational speaker, inspirational speeches, business success, dan the man lok, grow business, entrepreneur advice, entrepreneur motivation
Views: 62131 Dan Lok
Hypothesis testing and p-values | Inferential statistics | Probability and Statistics | Khan Academy
 
11:27
Hypothesis Testing and P-values Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/hypothesis-testing-with-simulations?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis-testing/v/one-tailed-and-two-tailed-tests?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/statistics-inferential/margin-of-error/v/margin-of-error-2?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 2084801 Khan Academy
Types Of Life Insurance Explained
 
05:18
There are many different kinds of life insurance. Term Life, Whole Life, and Universal Life are just three of the most basic kinds. Check out life insurance expert Byron Udell break down the main three different types of life insurance. Visit our blog and learn more about how much life insurance you need and the kind of coverage that fits your life. If your thirst for knowledge extends past the common questions, peruse our blog at your leisure. Blog: http://bit.ly/2DR415l How much life insurance do you need? Learn! http://bit.ly/2DRQ9I0 3 Reasons People Put Off Buying Insurance. Know it! http://bit.ly/2DSMFVZ Read the Video! Hi. I’m Byron Udell, Founder and CEO of AccuQuote. Since 1986, we’ve helped millions of people save money on their life insurance. When you boil it down, there are really only two kinds of life insurance: “Temporary” coverage, which is called “Term Insurance”…and “Permanent Insurance.” Both Term and Permanent life insurance come in various shapes and flavors to satisfy different needs. Permanent insurance is designed to provide coverage for as long as you live. If your needs are long-term, like estate planning or final expenses, or if you just want to leave a bigger legacy, no matter when you die, permanent life insurance is probably the way to go. There are lots of different kinds of permanent insurance, but the two primary categories are…whole life and universal life. And I’ll come back to these in a minute. Term life insurance is, by definition, “temporary” insurance. It’s designed to provide coverage for a limited period of time, typically 10, 20 or 30 years. Term policies are simple and extremely inexpensive. In most cases, your cost each year is guaranteed to remain level for whatever the term is. Again, typically 10, 20 or 30 years. After the term is over, make sure you’re sitting down when you receive your premium notice, because your rates are going to jump up dramatically. Sometimes by a factor of as much as 10 or more. But some of these policies have a built-in conversion option that’ll allow you trade in your term coverage for a shiny new permanent policy. Term life makes sense if you know when you’re going to be financially independent or if you’re sure there’s some date down the road where no one will be depending on you anymore financially. Like when your kids are all grown up and your mortgage is all paid off. Term is also good when you’re younger and your biggest concern is getting the protection in place and keeping your costs down. If you’re a non-smoker in your 30s and healthy, you can buy a 20-year, $250,000 term policy for less than $20 a month. Sounds too good to be true? Well, it’s 100% true. Now back to Permanent Life Insurance. Whole Life and Universal Life insurance are more expensive than Term, but let’s look at what you’re getting for the money. Unlike term insurance, permanent insurance in generally designed to last forever. You can’t outlive a permanent life insurance policy. With most permanent policies, as long as you pay your premiums on time, your family is guaranteed to receive the death benefit…no matter when you die. Whether that’s tomorrow or 50 years from now. Unlike term insurance, permanent insurance policies can also build cash surrender values, which can be accessed at any time, for any reason. You can set up your premiums to be level of life…guaranteed. You won’t have to worry about premiums going up when you get older and forcing you to drop the policy. Nor will you have to worry about being healthy enough in the future to have to requalify or replace the coverage. If you like, you can also arrange to pay for the policy over a shorter period of time, say 10 years, so after that, you own the coverage…and no further premiums are due for the rest of your life. Universal Life Insurance, one kind of permanent life insurance, offers a certain amount of built-in flexibility. You have the ability to change your premiums and death benefits to keep pace with changes in your life. Whole Life Insurance is what I refer to as the “Rolls Royce” of life insurance. Whole life costs more than all the other types of life insurance we’ve discussed, but it does more. Over time, these policies develop significant cash value that are guaranteed and can be accessed at any time. Regardless of what happens in the economy, each year, the cash values grow…guaranteed.
Views: 227756 AccuQuote Life Insurance
Warren Buffett on Business, Analysis and Investing
 
51:13
A Q&A with Warren Buffett at the University of North Carolina. In this discussion Warren begins with his time at Salomon Brothers and how he sizes up executives. He then moves on to a Q&A with the MBA students and answers a diverse range of questions. The questions range from how he analyses companies to his views on financial reports. This discussion offers a unparalleled insight into the professional and personal thinking of the Oracle of Omaha.📚 Books about Warren Buffett and his favourite books are located at the bottom of the description❗ Like if you enjoyed Follow us on Twitter:http://bit.ly/TwitterIA Video Segments: 0:07 Introduction 2:09 Finding Salomon Brothers a leader 10:20 Questions 10:28 What financial analysis do you do? 15:16 When to sell a business? 19:00 Who do you like, trust and admire in politics and business? 21:33 Have you considered splitting Berkshire Hathaway stock? 25:30 Investment failures? 29:07 Why did you invest in US Airways? 31:39 I never think about what the stock market is going to do 34:54 Investing in a stock vs the whole business 37:06 Banking consolidations 39:10 Your perspective on investments outside the US? 41:09 What has franchise value? 44:44 Clear financial reports 45:55 Future vs past of allocating capital 47:28 Any words of wisdom on family? 50:58 Outro Warren Buffett Books 🇺🇸📈 (affiliate link) The Snowball: Warren Buffett and the Business of Life:http://bit.ly/TheSnowball The Essays of Warren Buffett:http://bit.ly/TheEssaysofWB Tap Dancing to Work: Warren Buffett on Practically Everything:http://bit.ly/TapDancing Warren Buffett's Favourite Books🔥 The Intelligent Investor: The Definitive Book on Value Investing:http://bit.ly/TIIBG Security Analysis: Sixth Edition:http://bit.ly/Securityanalysis Common Stocks and Uncommon Profits and Other Writings:http://bit.ly/CommonStock Interview Date: 1994 Location:Kenan-Flagler Business School, University of North Carolina, Chapel Hill. Original Image Source:http://bit.ly/WarrenBuffett2 For More Investing/Entrepreneur/Economics Videos Check Out The Channel. What is Investors Archive ? = Its a Youtube Channel dedicated to having all the best Interviews/ Biography/ educational / courses on Investing/Entrepreneur/Economics so you can find all the free knowledge you need in one place ! Remember to Sub for all the Best New Content. No advertising
Views: 18169 Investors Archive
Metaethics: Crash Course Philosophy #32
 
09:34
We begin our unit on ethics with a look at metaethics. Hank explains three forms of moral realism – moral absolutism, and cultural relativism, including the difference between descriptive and normative cultural relativism – and moral subjectivism, which is a form of moral antirealism. Finally, we’ll introduce the concept of an ethical theory. Get your own Crash Course Philosophy mug or Chom Chom shirt from DFTBA: https://store.dftba.com/collections/crashcourse The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV -- Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Crash Course Philosophy is sponsored by Squarespace. http://www.squarespace.com/crashcourse -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support CrashCourse on Patreon: http://www.patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 759966 CrashCourse
Decision Analysis 3: Decision Trees
 
03:06
This brief video explains *the components of the decision tree *how to construct a decision tree *how to solve (fold back) a decision tree. Other videos: Decision Analysis 1: Maximax, Maximin, Minimax Regret https://youtu.be/NQ-mYn9fPag Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret https://youtu.be/ajkXzvVegBk Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz) https://www.youtube.com/watch?v=zlblUq9Dd14 Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information https://www.youtube.com/watch?v=tbv9E9D2BRQ Decision Analysis 4: EVSI - Expected Value of Sample Information https://www.youtube.com/watch?v=FUY07dvaUuE Decision Analysis 5: Posterior Probability Calculations https://youtu.be/FpKiHpYnY_I
Views: 187269 Joshua Emmanuel
The Truth About Accidental Values In Your Company
 
06:21
Your company has values. Whether you control what they are or not is up to you. There is one type of value you want to make sure doesn't creep into your business. That's an accidental value. Watch this Facebook Live mashup to find out why this is true.
Aristotle & Virtue Theory: Crash Course Philosophy #38
 
09:22
This week we explore final ethical theory in this unit: Aristotle’s virtue theory. Hank explains the Golden Mean, and how it exists as the midpoint between vices of excess and deficiency. We’ll also discuss moral exemplars, and introduce the concept of “eudaimonia.” Get your own Crash Course Philosophy mug or Chom Chom shirt from DFTBA: https://store.dftba.com/collections/crashcourse The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV -- Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Crash Course Philosophy is sponsored by Squarespace. http://www.squarespace.com/crashcourse -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support CrashCourse on Patreon: http://www.patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 1005069 CrashCourse
A level Business Revision - Organisational Culture
 
12:27
This video explains the four classifications of organisational culture identified by Charles Handy which are topics on the new AQA A level Business specification and the new Edexcel A level Business specification. The tutorial explains the difference between person, task, role and power cultures. See more of our videos: http://www.youtube.com/c/TakingTheBiz Taking The Biz is a channel dedicated to A level Business revision.
Views: 9000 TakingTheBiz
Factors of Value
 
07:23
Factors of Value Video outlines the Top Ten attributes that return the highest value of IT projects and investments. Factors of value video reflect our opinion of the importance of each factor of value attribute and our recommendation of the amount of effort and investment that should be considered to improve project value. It is clear to us that there are four primary investments you should focus on. So, if you want your projects to be more valuable with greater customer satisfaction, you should carefully consider where you invest your project improvement money.
Views: 1588 The Standish Group
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
 
07:00
Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 534278 MBAbullshitDotCom
Functions of money | Financial sector | AP Macroeconomics | Khan Academy
 
06:10
What does money actually do? Economists usually subdivide its functions into three categories: A medium of exchange, a store of value, and a unit of value. Created by Grant Sanderson. View more lessons or practice this subject at http://www.khanacademy.org/economics-finance-domain/ap-macroeconomics/ap-financial-sector/definition-measurement-and-functions-of-money-ap/v/functions-of-money?utm_source=youtube&utm_medium=desc&utm_campaign=apmacroeconomics AP Macroeconomics on Khan Academy: Welcome to Economics! In this lesson we'll define Economic and introduce some of the fundamental tools and perspectives economists use to understand the world around us! Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 45094 Khan Academy
Chi-squared Test
 
11:53
Paul Andersen shows you how to calculate the ch-squared value to test your null hypothesis. He explains the importance of the critical value and defines the degrees of freedom. He also leaves you with a problem related to the animal behavior lab. This analysis is required in the AP Biology classroom. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
Views: 1352460 Bozeman Science
Kant & Categorical Imperatives: Crash Course Philosophy #35
 
10:27
Our next stop on our tour of ethics is Kant’s ethics. Today Hank explains hypothetical and categorical imperatives, the universalizability principle, autonomy, and what it means to treat people as ends-in-themselves, rather than as mere means. Get your own Crash Course Philosophy mug or Chom Chom shirt from DFTBA: https://store.dftba.com/collections/crashcourse The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV -- All other images and video either public domain or via VideoBlocks, or Wikimedia Commons, licensed under Creative Commons BY 4.0: https://creativecommons.org/licenses/by/4.0/ -- Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Crash Course Philosophy is sponsored by Squarespace. http://www.squarespace.com/crashcourse -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashC... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support CrashCourse on Patreon: http://www.patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 1120252 CrashCourse
3 Step Continuity Test, Discontinuity, Piecewise Functions & Limits
 
10:10
This calculus video tutorial explains how to identify points of discontinuity or to prove a function is continuous / discontinuous at a point by using the 3 step continuity test. This involves evaluating piecewise functions using one sided limits. The first step is to determine if the function is defined at the given point. The second step is to prove that the limit exists by showing that the right side equals the left side. If the limit does not exist, it could be a jump discontinuity or an infinite discontinuity which are nonremovable. The 3rd step is to show that the limit equals the function at the given point. If the limit exists but does not equal the function, then it's a point discontinuity also known as a hole which is removable.
Floating vs. Fixed Exchange Rates- Macroeconomics 5.4
 
03:25
Float it or fix it? Mr. Clifford expalins the difference between floating and fixed exchange rates and how countries peg the value of their currency to another currency. Make sure to watch this video first: https://www.youtube.com/watch?v=9DVYVfI81R8
Views: 270396 Jacob Clifford
Simple Explanation of Chi-Squared
 
05:12
An explanation of how to compute the chi-squared statistic for independent measures of nominal data. For an explanation of significance testing in general, see http://evc-cit.info/psych018/hyptest/index.html There is also a chi-squared calculator at http://evc-cit.info/psych018/chisquared/index.html
Views: 908875 J David Eisenberg
Classical Management Theory
 
10:49
Classical Management Theory, broadly speaking, is based upon Henri Fayol, Frederick Taylor, and Max Weber's overlapping management theories. These three management theories came together to form what we generally refer to nowadays as Classical Management Theory. Virtually all areas of organizational studies from management, to business, to organizational communication put these three theorists at the foundation of most modern day organizations for developing theories of 1) Administrative science, 2) Scientific Management, and 3) Bureaucracy. Taken together, they form the basis for how we organizational structures and relationships between managers and employes. https://www.amazon.com/gp/product/1433131234/ref=as_li_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=1433131234&linkId=6bfd9c333c786d16025c5a7c70a3ef4c The Organizational Communication Channel provides supplemental lessons for traditional, hybrid, and 100% online courses for students and teachers everywhere. My Current Camera Gear (Affiliate Links): Camera Rebel T5i https://www.amazon.com/gp/product/B00BW6LWO4/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=B00BW6LWO4&linkId=504e12f13100f143d4df4e79731f206a Lens Canon 50mm: https://www.amazon.com/gp/product/B00X8MRBCW/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=B00X8MRBCW&linkId=b0bfb7ea7439df39e744bfd303c53fee USB Microphone Blue Yeti: https://www.amazon.com/gp/product/B002VA464S/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=B002VA464S&linkId=a9d8b41ead5eb30f69342be95d3a3d22 Lavalier Microphone Rode Smartlav+: https://www.amazon.com/gp/product/B00EO4A7L0/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=B00EO4A7L0&linkId=c29c80d531374d347f8a78498b34d05d Audio Recorder: Tascam DR-05: https://www.amazon.com/gp/product/B004OU2IQG/ref=as_li_qf_sp_asin_il_tl?ie=UTF8&tag=alexlyon-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=B004OU2IQG&linkId=578b149b5807f2ec0f7f16c18e1c34f4
One Way ANOVA
 
21:10
Demonstration of how to conduct a One-Way ANOVA by hand.
Views: 775549 ArmstrongPSYC2190
ABC ANALYSIS | INVENTORY CONTROL
 
10:13
ABC analysis is an inventory categorization method which consists in dividing items into three categories (A, B, C): A being the most valuable items, C being the least valuable ones. This method aims to draw managers’ attention on the critical few (A-items) not on the trivial many (C-items). The ABC approach states that a company should rate items from A to C, basing its ratings on the following rules: A-items are goods which annual consumption value is the highest; the top 70% of the annual consumption value of the company typically accounts for only 10% of total inventory items. B-items are the interclass items, with a medium consumption value; those 20% of annual consumption value typically accounts for 20% of total inventory items. C-items are, on the contrary, items with the lowest consumption value; the lower 10% of the annual consumption value typically accounts for 70% of total inventory items.
Views: 46819 MECHANICAL TECH HINDI
How To Calculate and Understand Analysis of Variance (ANOVA) F Test.
 
14:30
Visual tutorial on how to calculate analysis of variance (ANOVA) and how to understand it too. The tutorial includes how to interpret the results of an Anova test, f test and how to look up values in the f distribution table. The Anova example is for a one way anova test. I am rounding in the video, so if you are doing your own calculations you will not get the same exact numbers. Like MyBookSucks on Facebook! http://www.facebook.com/PartyMoreStudyLess PlayList on ANOVA http://www.youtube.com/course?list=EC3A0F3CC5D48431B3 PlayList On TWO ANOVA http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp Created by David Longstreet, Professor of the Universe, MyBookSucks http://www.linkedin.com/in/davidlongstreet
Views: 764329 statisticsfun
Four Defining Principles
 
01:49
Dean Lyons talks about the Haas School's four defining principles. (December 2009) The University of California Berkeley Haas School of Business is one of the world's leading producers of new ideas and knowledge in all areas of business - which includes the distinction of having two of its faculty members receive the Nobel Prize in Economics over the past 15 years. The school offers six degree-granting programs. Its mission is to develop innovative business leaders - individuals who redefine how we do business by putting new ideas into action, and who do so responsibly. The school's distinctive culture is defined by four key principles - question the status quo; confidence without attitude; students always; and, beyond yourself. Visit our website at http://haas.berkeley.edu
Views: 15782 Berkeley Haas
Local Maximum and Minimum Values/ Function of Two Variables
 
10:44
Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Local Maximum and Minimum Values/ Function of Two Variables. An outline of the procedure, along with a complete example are shown. For more free math videos, check out http://PatrickJMT.com austinmathtutor, austin math tutor, UT math tutor, UT Austin math tutor, austin math tutoring
Views: 592751 patrickJMT
What is Culture In Hindi | संस्कृति क्या है? | Sociology
 
02:11
What is Culture in Hindi | संस्कृति क्या है? | The Meaning of Culture... SUBSCRIBE my Channel (MY Channel Link) https://www.youtube.com/keep%20learning%20keep%20growing Follow us on:- Facebook https://www.facebook.com/klkg9898/ Instagram https://www.instagram.com/klkg9898/ Like | Share | Comment | SUBSCRIBE
How KNN algrorithm works with example : K - Nearest Neighbor
 
08:33
How KNN algorithm works with example: K - Nearest Neighbor, Classifiers, Data Mining, Knowledge Discovery, Data Analytics
Views: 118928 shreyans jain
Basic Concepts in Smart Predict: The Predictive Scenario
 
02:13
Smart Predict enables you to generate and understand predictions about future events, values, and trends. Depending on your business question and the insights you need, you are guided to create predictive models through a workspace called a predictive scenario. In this video, you will explore the different predictive scenarios currently available in Smart Predict: Classification, Regression and Time Series Predictive Scenarios. Complete playlist for Smart Predict feature: https://www.youtube.com/playlist?list=PLs5htBIwERYVZr-WTNlc2T2Qdw3JIFBMx
How to evaluate a classifier in scikit-learn
 
54:47
In this video, you'll learn how to properly evaluate a classification model using a variety of common tools and metrics, as well as how to adjust the performance of a classifier to best match your business objectives. I'll start by demonstrating the weaknesses of classification accuracy as an evaluation metric. I'll then discuss the confusion matrix, the ROC curve and AUC, and metrics such as sensitivity, specificity, and precision. By the end of the video, you will have a solid foundation for intelligently evaluating your own classification model. Download the notebook: https://github.com/justmarkham/scikit-learn-videos == CONFUSION MATRIX RESOURCES == Simple guide to confusion matrix terminology: https://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/ Intuitive sensitivity and specificity: https://www.youtube.com/watch?v=U4_3fditnWg The tradeoff between sensitivity and specificity: https://www.youtube.com/watch?v=vtYDyGGeQyo How to calculate "expected value" from a confusion matrix: https://github.com/podopie/DAT18NYC/blob/master/classes/13-expected_value_cost_benefit_analysis.ipynb Classification threshold graphic: https://media.amazonwebservices.com/blog/2015/ml_adjust_model_1.png == ROC/AUC RESOURCES == ROC Curves and Area Under the Curve: https://www.youtube.com/watch?v=OAl6eAyP-yo ROC visualization: http://www.navan.name/roc/ ROC Curves: https://www.youtube.com/watch?v=21Igj5Pr6u4 An introduction to ROC analysis: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf Comparing different feature sets: http://research.microsoft.com/pubs/205472/aisec10-leontjeva.pdf Comparing different classifiers: http://www.cse.ust.hk/nevinZhangGroup/readings/yi/Bradley_PR97.pdf == OTHER RESOURCES == scikit-learn documentation on model evaluation: http://scikit-learn.org/stable/modules/model_evaluation.html Comparing model evaluation procedures and metrics: https://github.com/justmarkham/DAT8/blob/master/other/model_evaluation_comparison.md Counterfactual evaluation of machine learning models: https://www.youtube.com/watch?v=QWCSxAKR-h0 WANT TO GET BETTER AT MACHINE LEARNING? HERE ARE YOUR NEXT STEPS: 1) WATCH my scikit-learn video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A 2) SUBSCRIBE for more videos: https://www.youtube.com/dataschool?sub_confirmation=1 3) JOIN "Data School Insiders" to access bonus content: https://www.patreon.com/dataschool 4) ENROLL in my Machine Learning course: https://www.dataschool.io/learn/ 5) LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 71053 Data School
Research Methodology (Part 3 of 3): 28 Types of Variables - Independent & Dependent Variables
 
19:34
Dr. Manishika Jain in this lecture explains the meaning of variables and explain the 28 types of variables: Attribute or Quality Differ in magnitude Control of Variables IV, DV, Mediating Variable IV: Characteristic of experiment that is manipulated DV: Variable measured Mediating/intervening – hypothetical concept explain relation b/w variables (Parent’s status - child’s status by education) Confounding – extra variable (effect of activity on obesity – AGE) Dig! Dig! Effect of noise on test score IQ varies with age Quantitative vs. Qualitative Quantitative: Numbers (Interval/ratio) Qualitative: attitude (good or bad) – can be compared not measured (nominal/ordinal) Variables based on Scaling Continuous, Discrete & Categorical Variable Absolute vs. Relative Absolute: Meaning doesn’t imply reference to property of others Relative: Relationship b/w persons and objects Global, Relational & Contextual Global: Only to the level at which they are defined Relational: Relationship of a unit Contextual: Super-unit (all at lower level receive same value) – disaggregation Analytical & Structural: From lower level data – aggregation Active: Can be manipulated – experimental Attribute: Pre-existing quality Binary/Dichotomous: pass/fail (0 - 1) Endogenous Exogenous Dummy – record categorical variable in series of binary variable Latent – cannot be observed (intelligence) Manifest – indicates presence of latent (IQ score) Polychotomous – with 2 or more possible values For NET Paper 1 postal course visit - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Paper-I-Series.htm Variables @0:16 Control of Variables @0:38 IV, DV, Mediating Variable @4:26 Quantitative vs. Qualitative @6:28 Quantitative @6:31 Qualitative @6:53 Variables based on Scaling @7:16 Continuous, Discrete & Categorical Variable @11:10 Absolute vs. Relative @12:28 Global, Relational & Contextual @13:05 #Contextual #Categorical #Categorical #Scaling #Measured #Confounding #Hypothetical #Mediating #Independent #Variables #Manishika #Examrace For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm
Views: 69882 Examrace
K-Nearest Neighbor Classification (K-NN) Using Scikit-learn in Python - Tutorial 25
 
10:37
In this tutorial, you will learn, how to do Instance based learning and K-Nearest Neighbor Classification using Scikit-learn and pandas in python using jupyter notebook. K-Nearest Neighbor Classification is a supervised classification method. This is the 25th Video of Python for Data Science Course! In This series I will explain to you Python and Data Science all the time! It is a deep rooted fact, Python is the best programming language for data analysis because of its libraries for manipulating, storing, and gaining understanding from data. Watch this video to learn about the language that make Python the data science powerhouse. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Harvard Business Review named data scientist "the sexiest job of the 21st century." Python pandas is a commonly-used tool in the industry to easily and professionally clean, analyze, and visualize data of varying sizes and types. We'll learn how to use pandas, Scipy, Sci-kit learn and matplotlib tools to extract meaningful insights and recommendations from real-world datasets. Download Link for Cars Data Set: https://www.4shared.com/s/fWRwKoPDaei Download Link for Enrollment Forecast: https://www.4shared.com/s/fz7QqHUivca Download Link for Iris Data Set: https://www.4shared.com/s/f2LIihSMUei https://www.4shared.com/s/fpnGCDSl0ei Download Link for Snow Inventory: https://www.4shared.com/s/fjUlUogqqei Download Link for Super Store Sales: https://www.4shared.com/s/f58VakVuFca Download Link for States: https://www.4shared.com/s/fvepo3gOAei Download Link for Spam-base Data Base: https://www.4shared.com/s/fq6ImfShUca Download Link for Parsed Data: https://www.4shared.com/s/fFVxFjzm_ca Download Link for HTML File: https://www.4shared.com/s/ftPVgKp2Lca
Views: 15128 TheEngineeringWorld
Conflict in hindi part 1
 
09:16
Plz support my channel and subscribe or comment if u not understand anything Plz like subscribe and share my channel Thank you friends to support me Plz share subscribe and comment on my channel and Connect me through Instagram:- Chanchalb1996 Gmail:- [email protected] Facebook page :- https://m.facebook.com/Only-for-commerce-student-366734273750227/ Unaccademy download link :- https://unacademy.app.link/bfElTw3WcS Unaccademy profile link :- https://unacademy.com/user/chanchalb1996 Telegram link :- https://t.me/joinchat/AAAAAEu9rP9ahCScbT_mMA
Views: 45240 study with chanchal
Use an Excel Pivot Table to Group Data by Age Bracket
 
08:13
Several viewers asked me to demonstrate some other ways to -Group a Field- in a Pivot Table. In this tutorial, I show you how to create a Frequency Report by Age Bracket. Before I start the Pivot Table Demonstration, I show you how to calculate someone's age using the -undocumented- =DATEDIF() Function in Excel. In the Pivot Table, I change the result from -Summarize Values By- to the -Show Vales As- setting. Finally, I apply Conditional Formatting to the Pivot Table. I invite you learn more about my Pivot Table Video Tutorials. Visit my secure, online, shopping website - http://shop.thecompanyrocks.com Danny Rocks The Company Rocks
Views: 164111 Danny Rocks
Introduction to Optimization: What Is Optimization?
 
03:57
A basic introduction to the ideas behind optimization, and some examples of where it might be useful. TRANSCRIPT: Hello, and welcome to Introduction to Optimization. This video provides a basic answer to the question, “What is optimization?” In simplest terms, optimization is choosing inputs that will result in the best possible outputs, or making things the best that they can be. This can mean a variety of things, from deciding on the most effective allocation of available resources, to producing a design with the best characteristics, to choosing control variables that will cause a system to behave as desired. Optimization problems often involve the words maximize or minimize. Optimization is also useful when there are limits (or constraints) on the resources involved, or boundaries restricting the possible solutions. Let’s take a look at a very simple example of an optimization problem: Given a parabola, chose x to get the largest y. We can try different x values to see the resulting y value. Eventually we can find the maximum y value by choosing x here. You may also have solved this type of problem in calculus class by taking the derivative of the parabola and setting it equal to zero. Now for this simple problem it is easy to see the correct solution. For more complicated problems, it can be difficult to immediately see the correct solution, guessing and checking can take much too long, and it can be difficult to find the values where the derivative is equal to zero. To find the answers to most optimization problems we need to use a special type of program called an optimization algorithm. We’ll learn more about optimization algorithms in upcoming videos. Optimization can be applied to a huge variety of situations and problems. For example: Warehouse placement Choosing the optimal location for a warehouse to minimize shipment times to potential customers. Bridge design Designing a bridge that can carry the maximum load possible for a given cost. Build order Choosing the optimal build order for units in a strategy game to amass the strongest possible army in a given time. Artificial Pancreas Controlling the insulin output from an artificial pancreas to minimize the difference between actual and desired blood sugar levels throughout the day. Wing design Design an airplane wing to minimize weight while maintaining strength. Stock portfolio Selecting the best set of stocks to invest in to maximize returns based on predicted performance. Temperature control of a chemical reaction Controlling the temperature of a chemical reaction throughout a process to maximize the purity of a desired product. As you can see, optimization is a powerful tool in many applications. This is just a small sampling of the many fields that make use of optimization techniques to improve the quality of their solutions. If something can be modeled mathematically, it can usually be optimized. To summarize: Optimization improves results by helping to choose the inputs that produce the best outputs Most optimization problems require an optimization algorithm to solve Optimization is applicable to many disciplines
Views: 37657 AlphaOpt
Globalisation, cosmopolitism and tolerance: the opportunities and values
 
02:27
Globalisation, cosmopolitism and tolerance: the opportunities and values
Views: 208 Zelman Monoproduct

Tac dung cua adalat la 30mg codeine
Kw generic generators
Nebivolol 5 mg bijsluiter viagra
What does paroxetine hcl 20 mg look like
Sin amor tambien se vive dario gomez descargar mp3xd