Views: 270874 ozanteaching
✪✪✪✪✪ WORK FROM HOME! Looking for US WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DESCRIPTIVE STATISTICS? What does DESCRIPTIVE STATISTICS mean? DESCRIPTIVE STATISTICS meaning - DESCRIPTIVE STATISTICS definition - DESCRIPTIVE STATISTICS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Descriptive statistics are statistics that quantitatively describe or summarize features of a collection of information. Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a sample, rather than use the data to learn about the population that the sample of data is thought to represent. This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory. Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented. For example in papers reporting on human subjects, typically a table is included giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment or exposure group), and demographic or clinical characteristics such as the average age, the proportion of subjects of each sex, the proportion of subjects with related comorbidities etc. Some measures that are commonly used to describe a data set are measures of central tendency and measures of variability or dispersion. Measures of central tendency include the mean, median and mode, while measures of variability include the standard deviation (or variance), the minimum and maximum values of the variables, kurtosis and skewness. Descriptive statistics provide simple summaries about the sample and about the observations that have been made. Such summaries may be either quantitative, i.e. summary statistics, or visual, i.e. simple-to-understand graphs. These summaries may either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves for a particular investigation. For example, the shooting percentage in basketball is a descriptive statistic that summarizes the performance of a player or a team. This number is the number of shots made divided by the number of shots taken. For example, a player who shoots 33% is making approximately one shot in every three. The percentage summarizes or describes multiple discrete events. Consider also the grade point average. This single number describes the general performance of a student across the range of their course experiences. The use of descriptive and summary statistics has an extensive history and, indeed, the simple tabulation of populations and of economic data was the first way the topic of statistics appeared. More recently, a collection of summarisation techniques has been formulated under the heading of exploratory data analysis: an example of such a technique is the box plot. In the business world, descriptive statistics provides a useful summary of many types of data. For example, investors and brokers may use a historical account of return behavior by performing empirical and analytical analyses on their investments in order to make better investing decisions in the future. Univariate analysis involves describing the distribution of a single variable, including its central tendency (including the mean, median, and mode) and dispersion (including the range and quantiles of the data-set, and measures of spread such as the variance and standard deviation). The shape of the distribution may also be described via indices such as skewness and kurtosis. Characteristics of a variable's distribution may also be depicted in graphical or tabular format, including histograms and stem-and-leaf display.
Views: 16606 The Audiopedia
This is just a few minutes of a complete course. Get full lessons & more subjects at: http://www.MathTutorDVD.com. In this lesson we will cover the difference between descriptive and inferential statistics.
Views: 97684 mathtutordvd
This tutorial provides an overview of statistical analyses in the social sciences. It distinguishes between descriptive and inferential statistics, discusses factors for choosing an analysis procedure, and identifies the difference between parametric and nonparametric procedures.
Views: 231753 The Doctoral Journey
https://alphabench.com/data/excel-descriptive-statistics.html Generate a table of descriptive statistics in Excel for Windows and Excel 2016 for the MAC with the Data Analysis Toolpak Addin. Descriptive statistics or simply descriptives are used to characterize data sets with summary measurements that act as a simple way to summarize data. Descriptives along with a visualization of a data set are the first steps in any data analysis.
Views: 34408 Matt Macarty
This statistical analysis overview explains descriptive and inferential statistics. Watch more at http://www.lynda.com/Excel-2007-tutorials/business-statistics/71213-2.html?utm_medium=viral&utm_source=youtube&utm_campaign=videoupload-71213-0101 This specific tutorial is just a single movie from chapter one of the Excel 2007: Business Statistics course presented by lynda.com author Curt Frye. The complete Excel 2007: Business Statistics course has a total duration of 4 hours and 19 minutes and covers formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data Excel 2007: Business Statistics table of contents: Introduction 1. Introducing Statistics 2. Learning Useful Excel Techniques 3. Summarizing Data Using Tables and Graphics 4. Describing Data Using Numerical Methods 5. Using Probability Distributions 6. Sampling Values from a Population 7. Testing Hypotheses 8. Using Linear and Multiple Regression Conclusion
Views: 114035 LinkedIn Learning
Download File: https://people.highline.edu/mgirvin/YouTubeExcelIsFun/Math146-Excel2013PivotTables&ChartsForDescriptiiveStatistics-AustinRoberts.xlsx Using Excel 2013 see how to create tabular and graphical summaries of Categorical and Quantitative data For Highline Math 146 Statistics Class: 1. (00:48) Descriptive Statistics and Data Analysis (Raw Data into Useful Information) 2. (02:31) Define Proper Data Set 3. (04:49) Example 1: From Categorical/Qualitative Data (Phone preferences data) create Frequency Distribution and Column/Bar Chart using PivotTable feature and Charting feature 4. (14:23) Example 2: From Categorical/Qualitative Data (Hospital survey data) create Percent Frequency Distribution and Pie Chart using PivotTable feature and Charting feature 5. (20:17) Page setup for printing your table and chart 6. (23:39) Example 3: From Continuous Quantitative Data (Age of Customer) create a Frequency Distribution and a Histogram Chart using PivotTable feature and Charting feature. In this example see how to with Grouped Age Data (Class Intervals) using the Grouping feature in a PivotTable. Also see how to change the gap width in a column chart to create a Histogram. 7. (30:17) Example 4: From Continuous Quantitative Data (Transaction Sales Total) create a Frequency Distribution and a Histogram Chart using PivotTable feature and Charting feature. See how to group numbers in a PivotTable and change gap width in a Column Chart to create a Histogram. 8. (35:40) Example 5: Crate a Cross tabulated Table using the PivotTable feature. Create a column Chart from a Cross Tab Report. 9. (39:30) Summary of Topics 10. (40:23) Homework Problems
Views: 29687 ExcelIsFun
Use Excel to quickly calculate the Mean, Median, Mode, Standard Error, Standard Deviation, Variance, Kurtosis, Skewness, Range, Minimum, and Maximum. This video shows you how to calculate Descriptive Statistics using the Data Analysis Tool in Excel. I also demonstrate how to install the Tool if it is not already on your Excel Ribbon.
Views: 1288 Learn Something
How to Use SPSS In this third video about SPSS for Beginners, Dr. Daniel shows you three ways to approach descriptive statistics in SPSS. If you want quick and basic descriptives, use the Descriptives command to get the most commonly used statistics. The Frequencies command gives you a wide range of possibilities with the most flexibility to choose exactly what output that you want. When you want maximum output with lots of graphs – or if you want to split the descriptive statistics by a categorical variable (like gender), then use the Explore command. Link to a Google Drive folder with all of the files that I use in the videos including the Bear Handout and StatsClass.sav. As I add new files, they will appear here, as well. https://drive.google.com/drive/folders/1n9aCsq5j4dQ6m_sv62ohDI69aol3rW6Q?usp=sharing
Views: 114149 Research By Design
This video talks about data, types of data, shape of data, central tendency and spread of data. learn basic stats with this video. If you find this video useful, don't forget to subscribe to my channel and show your interest by hitting the like button. Share it with you friends who can benefit from this. Thanks for all your support. Do drop in your comments and connect with me on other social media too. Read My Book 8 Steps to Problem Solving for easy and concise explanation of LSS topics with the help of case studies. Disclaimer... All this content is copyrighted. Please do not use any content without my permission. Visit my website mbbmohitsharma.com You can checkout my First Six Sigma book, 8 Steps to Problem Solving. It is available at all leading stores online. Links are mentioned below for your ease. Flipkart https://www.flipkart.com/8-steps-problem-solving-six-sigma/p/itmevkqszjubs29j?pid=9789386407368 Amazon https://www.amazon.in/Steps-Problem-Solving-Six-Sigma/dp/9386407361?_encoding=UTF8&%2AVersion%2A=1&%2Aentries%2A=0&portal-device-attributes=desktop Shopclues http://www.shopclues.com/8-steps-to-problem-solving--six-sigma-122233949.html Smashwords https://www.smashwords.com/books/view/734141 You can connect with me on Twitter, Linked In and Quora.com Linked in https://www.linkedin.com/feed/ Quora https://www.quora.com/profile/Mohit-Sharma-411 Twitter https://twitter.com/mohitsharma1904 Website http://mbbmohitsharma.com/ Filmora Wondershare Video Editor is used for editing.
Views: 857 SIX SIGMA by MBB Mohit Sharma
Check out our brand-new Excel Statistics Text: https://www.amazon.com/dp/B076FNTZCV Learn how to quickly calculate the mean, median, mode, standard deviation and other descriptive statistics in Excel using the Data Analysis ToolPak. Video Transcript: In this video we'll take a look at how to run descriptive statistics in Microsoft Excel using the Data Analysis Toolpak. So here we have a single variable college GPA and we have the GPA values for 30 people on this variable. So to run descriptive statistics we want to go to Data and then Data Analysis and here we want to select Descriptive Statistics and then click OK. And here in the Input Range we'll go ahead and grab all these values including the label college GPA. OK that looks good. And then we want to select Labels in First Row. And it's very important here to get the descriptive statistics, we want to make sure that we select Summary Statistics. Go ahead and click OK. And here we get our output and what I'd like to do first of all is increase the font here. So let's increase that to 14 point font, and then we'll expand these columns so we can see this easier. I'm going to select these values here and dial down the decimal places to 2. OK that looks good. So next we'll talk about some of the key statistics that are often reported, although we won't cover every one of these in this video. So let's start down here let's start with his bottom five. And I can put some notes here for each of these. So the Count is just the total number of values in the data set. It's equal to n; we have 30 people in this data set. And then the sum is just adding all the GPA values together. So if we go back to our worksheet, if I add up all 30 values of GPA, that will give me the sum of 98.61. Then these next two values can be quite useful, they're the Minimum and the Maximum, or the lowest GPA value and the highest GPA value. And they can be useful as a quick check to make sure our data entry appears to be accurate. And what I mean by that is, it's GPA we're talking about here, so if I saw a maximum GPA of let's say 8, I would know that there's a problem with the data entry, somehow a mistake was made and an incorrect value was entered. Or likewise if I had a minimum value of say -2, since there's no such thing as a negative GPA, that would indicate that something went wrong and I'd want to go back and look at the data to check them for accuracy to ensure that I have the correct values in there. And Range is just the highest or maximum GPA minus the minimum GPA. If we take 4-2.11, that would give me 1.89. OK next we'll talk about the measures of central tendency and that's the mean, the median, and the mode. And the mean here is equal to 3.29. The mean is equal to the arithmetic average, or the sum of the values / n. And if we use the output in this table we could also say sum, 98.61 / count, the number of observations, 30. If we take 98.61 and divide that by 30, we will get a mean of 3.29. Next for central tendency we have the Median followed by the Mode. So the median is equal to the middle value, that is, if the GPA values were ordered from lowest to highest, then the median would be the very middle GPA value. It's also known as the 50th percentile. And then the mode is the most frequently occurring value, so whichever value occurs most often in the dataset. Notice these two are equal here; both the median and the mode are equal to 3.45 in this example. And then finally we have the standard deviation. And the standard deviation is equal to .55. This can be loosely interpreted as indicating the average or typical distance that scores or values vary from the mean. So in other words, if our standard deviations .55 and our mean is 3.29, then this means that the standard or typical distance that GPA values vary or are spread from the mean is by about .55 points, whether it's .55 above 3.29, or .55 below 3.29, that captures kind of the standard or typical variation from the mean, and that's what the standard deviation means. This concludes the video on the Descriptive Statistics procedure using the Data Analysis ToolPak in Microsoft Excel. Thanks for watching. YouTube Channel: https://www.youtube.com/user/statisticsinstructor Channel Description: For step by step help with descriptive and inferential statistics. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Views: 25116 Quantitative Specialists
This tutorial introduces the student of stats to the Data Analysis Descriptive Statistics, how to create ranges and set up basic formulas like sum, and label everything and keep it on the same page, so the confusion of being new to statistics is lessened. Have fun!
Views: 257 Teaching and Learning Online
Video provides overview of ways of obtaining and interpreting descriptive statistics for variables with different scales of measurement.
Views: 20007 Mike Crowson
Descriptive Statistics Generation - Excel Data Analysis ToolPak. Data set used can be downloaded at http://www.learnanalytics.in/blog/wp-content/uploads/2013/04/car_sales.xlsx
Views: 30702 Learn Analytics
https://alphabench.com/data/data-analysis-r.html This tutorial uses a Jupyter Notebook. If you would like to install Jupyter for R please watch: "How to install Jupyter Notebook Support for R" https://www.youtube.com/watch?v=SXBxKe8sK6I Data analytics tutorial walk through using R to download and describe stock price data. Uses the quantmod library to get data and other libraries, including ggplot, to generate descriptive statistics. Introductory data analysis demonstrates the generation of summary and descriptive statistics, histogram and density plot. Download the Jupyter Notebook here: http://nbviewer.jupyter.org/url/alphabench.com/data/r-descriptives.ipynb
Views: 990 Matt Macarty
This part of a series that will cover the basics of applying statistics within SAS. Kieng Iv/SAF Business Analytics https://ca.linkedin.com/in/kiengiv https://www.facebook.com/UWaterlooBusinessAnalytics
Views: 50816 SAF Business Analytics
Download file: https://people.highline.edu/mgirvin/ExcelIsFun.htm 1. Use the Data Analysis Add-in Descriptive Statistics tool to quick calculate Numerical descriptive statistics like, Mean, Median, Mode, Standard Deviation, Range. Min, Max This is for the Highline Community College Busn 210 Statistical Analysis for Business and Economics taught by Michael Girvin
Views: 68459 ExcelIsFun
Includes application examples, scales of measurement (nominal, ordinal, interval & ratio), qualitative versus quantitative data, cross-sectional versus time-series data, experimental versus observational data, and descriptive statistics versus statistical inference.
Views: 31234 Bharatendra Rai
This video will show you how handy the Data Analysis Add-In in Excel is in order to find descriptive statistics (ie: mean, standard error, median, mode, standard deviation, sample variance, kurtosis, skewness, range, minimum, maximum, sum, count, and confidence level) in SECONDS. Be careful to make sure you properly define the output area... it's one of those things that is easy to mess up (note that I even mess up!). Thanks for watching, this is my first video tutorial.
Views: 59795 VideoTuts100
@ Members ~ This video would let you know about rising importance of Analytics where by we are covering all 4 Branches of Analytics like Financial Analytics , Risk Based Analytics , Cash Flow Analytics and Data Analytics. Video would also let you know about 3 types of Analytics covering Descriptive Analytics , Predictive Analytics and Prescriptive Analytics. You are most welcome to connect with us at 91-9899242978 (Handheld) , Skype ~ Rahul5327 , Twitter @ Rahulmagan8 , [email protected] , [email protected] or visit our website - www.treasuryconsulting.in
Views: 50211 Foreign Exchange Maverick Thinkers
This clip explains how to produce some basic descrptive statistics in R(Studio). Details on http://eclr.humanities.manchester.ac.uk/index.php/R_Analysis. You may also be interested in how to use tidyverse functionality for basic data analysis: https://youtu.be/xngavnPBDO4
Views: 132040 Ralf Becker
http://alphabench.com/data/spss-descriptive-statistics.html Demonstration of three different methods for generating descriptive statistics, tables and graphs typically used in describing the shape and characteristics of data such as central tendency and dispersion. Tables and graphs generated by SPSS can be copied and pasted into documents or presentations.
Views: 14604 Matt Macarty
Why do you want to perform panel data analysis? Some of the reasons could be to explore the behaviour of a variable across a sample of groups (e.g. firms, schools, countries, agro produce, individuals, cars, production style, political parties etc.) to explore the behaviour of the groups in the sample with respect to a variable the groups have some semblance of commonness the groups have varying heterogeneities (i.e. differences) with respect to a variable perhaps due to inadequate data over a long period for your sample or maybe you just don’t know why! I give 5 tips required for building an engaging panel data structure. They are (1) generate identifiers (watch my video on “Reshape Wide to Longitudinal Data”) (2) reshape the data (watch my video on “Reshape Wide to Longitudinal Data”) (3) group classification (to explore the heterogeneities in the data) (4) categorise the outcome variable (to explore the heterogeneities in the data) and (5) create dummy variables (regional and time dummies). In this video, I show the various tabular dynamics that can explored using the summary statistics of the outcome variable (Gini coefficient) and the different categorical variables such as countries, regions, income groups and inequality categories. So, load your data and let’s get started. Please go through my links indicated below: YouTube Custom URL: https://www.youtube.com/c/CrunchEcono... Website: http://cruncheconometrix.com.ng Blog: https://cruncheconometrix.blogspot.co... Stata Videos Playlist: https://www.youtube.com/watch?v=sTpeY... EViews Videos Playlist: https://www.youtube.com/watch?v=znObT...
Views: 1174 CrunchEconometrix
How to Calculate Descriptive Statistics in Excel 2016 for Mac Using the Data Analysis Toolpak. This video shows you how to install the Data Analysis Toolpak which comes free with Excel 2016 for Mac.
Views: 22715 David Dunaetz
How to use Excel and the Data Analysis tool pack to quickly find the mean, median, mode and other descriptive statistics for a MyStatLab problem. Larson 2.3.20
Views: 1135 The Stats Files - Dawn Wright Ph.D.
Use Excel's Data Analysis tool to display a range of descriptive statistics (such as mean, node, median, range, standard deviation, variance) in one simple step.
Views: 25952 Eugene O'Loughlin
Mean, Median, Variance, Standard Deviation, Range, Frequencies, Proportions. We use Google Sheets functions to aid us in our data analysis.
Views: 12458 Jalayer Academy
In this Python for data Science Tutorial, You will learn how to perform Descriptive Statistics in python using Numpy a, scipy and pandas using jupyter notebook (Anaconda). You learn about Sum, mean, median, max, standard deviation, variance and Quartiles. This is the 13th 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: 5893 TheEngineeringWorld
Check out my Blog: http://exceltraining101.blogspot.com How to use the descriptive statistic option in the Data Analysis Tookpak in Excel 2010. #exceltips #exceltipsandtricks #exceltutorial #doughexcel #exceltips #exceltipsandtricks #exceltutorial #doughexcel
Views: 2957 Doug H
In this Python Statistics Tutorial, learn python describe statistics using pandas, NumPy and Scipy. We discuss Some Descriptive statistics in Python Using Jupyter Notebook. This is a Part of a Python Data Analysis Course. 🔷🔷🔷🔷🔷🔷🔷 Jupyter Notebooks and Data Sets for Practice: https://github.com/theengineeringworld/statistics-using-python 🔷🔷🔷🔷🔷🔷🔷 Data Cleaning Steps and Methods, How to Clean Data for Analysis With Pandas In Python [Example] 🐼 https://youtu.be/GMxCL0PBHzA Data Wrangling With Python Using Pandas, Data Science For Beginners, Statistics Using Python 🐍🐼 https://youtu.be/tqv3sL67sC8 Cleaning Data In Python Using Pandas In Data Mining Example, Statistics With Python For Data Science https://youtu.be/xcKXmXilaSw Cleaning Data In Python For Statistical Analysis Using Pandas, Big Data & Data Science For Beginners https://youtu.be/4own4ojgbnQ Exploratory Data Analysis In Python, Interactive Data Visualization [Course] With Python and Pandas https://youtu.be/VdWfB30QTYI 🔷🔷🔷🔷🔷🔷🔷 *** Complete Python Programming Playlists *** * Python Data Science https://www.youtube.com/watch?v=Uct_EbThV1E&list=PLZ7s-Z1aAtmIbaEj_PtUqkqdmI1k7libK * NumPy Data Science Essential Training with Python 3 https://www.youtube.com/playlist?list=PLZ7s-Z1aAtmIRpnGQGMTvV3AGdDK37d2b * Python 3.6.4 Tutorial can be fund here: https://www.youtube.com/watch?v=D0FrzbmWoys&list=PLZ7s-Z1aAtmKVb0fpKyINNeSbFSNkLTjQ * Python Smart Programming in Jupyter Notebook: https://www.youtube.com/watch?v=FkJI8np1gV8&list=PLZ7s-Z1aAtmIVV0dp08_X-yDGrIlTExd2 * Python Coding Interview: https://www.youtube.com/watch?v=wwtzs7vTG50&list=PLZ7s-Z1aAtmJqtN1A3ydeMk0JoD3Lvt9g
Views: 762 TheEngineeringWorld
Tutorial for using SPSS 16 to run descriptive statistics for categorical and continuous variables, a 2-way contingency table for categorical variables, and chi-squared analysis, and a correlation analysis for 2 continuous variables. These videos are not intended to teach you how to calculate, comprehend, or interpret statistics. These videos are merely a tool to introduce you to some basic SPSS procedures. Download the sample data at the KSU Psych Lab web page: http://www.kennesaw.edu/psychology/videos/lab/sample_data.xlsx Subtitles available: click on the CC button toward the bottom right of the video. Menu available for jumping to chapters in the flash video posted on the KSU Psych Lab website: http://psychology.hss.kennesaw.edu/resources/psychlab/
Views: 146742 Terry Jorgensen
1. Creating frequency, relative frequency, and percent frequency distributions 2. Creating bar graphs and pie charts
Views: 2461 Business Statistics
How to obtain Mean, Median, Mode, Standard deviation, ... in Excel using the Data Analysis Add in. How to install Data Analysis Toolpak in Excel: https://youtu.be/SqpSwxJ9t2k
Views: 3810 Joshua Emmanuel
This Webinar presents descriptive statistical features with applications using the XLSTAT statistical software. Discover our products: https://www.xlstat.com/en/solutions Download the data: https://help.xlstat.com/customer/portal/kb_article_attachments/125605/original.xlsx?1513264876%E2%80%8B 30-day free trial: https://www.xlstat.com/en/download -- Introduction to descriptive statistics - 1 hour Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of questions associated to a certain type of data. Descriptive statistics allow to summarize information contained in datasets using simple numbers such as the mean or the standard deviation; and charts such as box plots and scatter plots. -- Produced by: Addinsoft Directed by: Jean Paul Maalouf
Views: 1288 XLSTAT
See how to use the Excel Data Analysis Add-in Descriptive Statistics tool. Quickly calculate statistics such as: Mean, Medain, Mode, Percentile, Skew and more. Chapter 03 Busn 210 Business and Economic Statistics and Excel Class. Descriptive Statistics Numerical Measures This is a beginning to end video series for the Business & Economics Statistics/Excel class, Busn 210 at Highline Community College taught by Michael Gel Excelisfun Girvin
Views: 10557 ExcelIsFun
See how to create a Frequency Distribution, a Cumulative Freqency Distribution, a Histogram Chart and an Ogive Chart with the Data Analysis Add-in. Chapter 02 Busn 210 Business and Economic Statistics and Excel Class This is a beginning to end video series for the Business & Economics Statistics/Excel class, Busn 210 at Highline Community College taught by Michael Gel Excelisfun Girvin
Views: 155464 ExcelIsFun