STATISTICS FROM A TO Z<br />-- CONFUSING CONCEPTS CLARIFIED
  • Home
    • Why This Book Is Needed
    • Articles List, Additional Concepts
    • Examples: 1-Page Summaries
    • Examples: Concept Flow Diagram
    • Examples: Compare and Contrast Tables
    • Examples: Cartoons
    • Example: Which to Use When Article
  • Buy
  • Blog
  • Sample Articles
  • Videos
  • Author
  • Communicate
  • Files
  • Errata

New Video: Regression -- Part 4: Multiple Linear

12/29/2018

0 Comments

 
Continuing the playlist on Regression, I have uploaded a new video to YouTube: Regression -- Part 4: Multiple Linear. There are 5 Keys to Understanding, here is the 3rd. See the Videos pages of this website for more info on available and planned videos. 
Picture
0 Comments

You are not alone if you are confused by Statistics -- #23

12/26/2018

0 Comments

 
Picture
0 Comments

Statistics Tip: the values of a Categorical Variable are names of categories.

12/13/2018

0 Comments

 
​Categorical Variables are used in ANOMA, ANOVA, with Proportions, and in the Chi-Square Tests for Independence and Goodness of Fit. Categorical Variables are also known as "Nominal" (named) Variables and "Attributes" Variables.

​The concept can be confusing, because the values of a Categorical Variable are not numbers, but names of categories. The numbers associated with Categorical Variables come from counts of the data values within a named category.  Here's how it works:
Picture
  • In this example there are two Categorical Variables,  "Gender" and "Ice Cream (flavor)". 
  • The values of the two Categorical Variables are the names of the categoriesfor the Variable.  For example, the Categorical Variable "Gender" has 2 possible values: "female" and "male". 
  • If we're going to use these Variables in a Chi-Square Test for Independence, for example, we need to have some numbers. The numbers are the counts of the data values in each category.  For example, the count of persons whose gender is "female" and whose favorite ice cream flavor is "vanilla" is 25.
0 Comments

New Video

12/6/2018

0 Comments

 
Continuing the playlist on Regression, I have uploaded a new video to YouTube: Regression Part 3: Analysis Basics. It talks about things that are required for all 3 types of Regression covered in the book -- Simple Linear, Multiple Linear, and Simple Nonlinear Regression. Topics include clip levels for R squared, Residuals, establishing Cause and Effect, and the dangers of Extrapolation.  ​See the videos page of this website for the status of completed and planned videos.
Picture
0 Comments

    Author

    Andrew A. (Andy) Jawlik is the author of the book, Statistics from A to Z -- Confusing Concepts Clarified, published by Wiley.

    Archives

    March 2021
    December 2020
    November 2020
    October 2020
    September 2020
    August 2020
    May 2020
    March 2020
    February 2020
    January 2020
    December 2019
    November 2019
    October 2019
    September 2019
    July 2019
    June 2019
    May 2019
    April 2019
    March 2019
    February 2019
    January 2019
    December 2018
    November 2018
    October 2018
    September 2018
    August 2018
    July 2018
    June 2018
    May 2018
    April 2018
    March 2018
    February 2018
    January 2018
    December 2017
    November 2017
    October 2017
    September 2017
    August 2017
    July 2017
    June 2017
    May 2017
    April 2017
    March 2017
    February 2017
    January 2017
    December 2016
    November 2016
    October 2016
    September 2016
    August 2016

    Categories

    All
    New Video
    Stats Tip Of The Week
    You Are Not Alone

    RSS Feed

  • Home
    • Why This Book Is Needed
    • Articles List, Additional Concepts
    • Examples: 1-Page Summaries
    • Examples: Concept Flow Diagram
    • Examples: Compare and Contrast Tables
    • Examples: Cartoons
    • Example: Which to Use When Article
  • Buy
  • Blog
  • Sample Articles
  • Videos
  • Author
  • Communicate
  • Files
  • Errata