# Cartoon Guide To Statistics

June 25, 2009 by kltangen

Filed under By The Book

This is a popular supplemental book on statistics. The concept is a great idea. Using cartoons to illustrate concepts can make them more interesting and easier to remember.

The execution is not quite as good as the concept. There are some good illustrations but the text is not as easy to follow or understand. If you have a copy, look at the cartoons, read Gravetter & Wallnau’s textbook, and then go back and look at the cartoons again. By then all of the concepts and most of the cartoons will make sense.

Cartoon Guide To Statistics

Gonick & Smith

Collins

Outline

Chapter 1: What Is Statistics

See Day 1: Measurement

Chapter 2: Data Description

See Day 1: Measurement

See Day 2: Central Tendency

See Day 3: Dispersion

Chapter 3: Probability

See Day 7: Probability

Chapter 4: Random Variables

Chapter 5: A Tale Of Two Distributions

Chapter 6: Sampling

Chapter 7: Confidence Intervals

Chapter 8: Hypothesis Testing

Chapter 9: Comparing Two Populations

See Day 8: Independent t-Test

Chapter 10: Experimental Design

See Day 10: Advanced Procedures

Chapter 11: Regression

See Day 5: Correlation

See Day 6: Regression

Chapter 12: Conclusion

# Gravetter & Wallnua

June 24, 2009 by kltangen

Filed under By The Book

Here is another great book for your consideration. It is clear and well-written. This is one of my favorite textbooks. I often use it when I teach intro to stats classes. Any edition is good.

Read the whole thing like a novel and then go back and focus on area you find particularly interesting.

Essentials of Statistics for the Behvioral Science

Wadsworth

Outline

Chapter 1: Intro To Statistics

See Day 1: Measurement

Chapter 2: Frequency Distributions

See Day 1: Measurement

Chapter 3: Central Tendency

See Day 2: Central Tendency

Chapter 4: Variability

See Day 3: Dispersion

Chapter 5: z-Scores: Location of Scores and Standard Distributions

See Day 4: z scores

Chapter 6: Probability

See Day 7: Probability

Chapter 7: Probability And Samples: The Distribution Of Sample Means

See Day 7: Probability

Chapter 8: Introduction To Hypothesis Testing

Chapter 9: Introduction To The t Statistics

See Day 8: Independent t-Test

Chapter 10: The t Test For Two Independent Means

See Day 8: Independent t-Test

Chapter 11: The t Test For Two Related Samples

Chapter 12: Estimation

Chapter 13: Introduction To Analysis Of Variances

See Day 9: One-way ANOVA

Chapter 14: Repeated Measures And Two-Factor Analysis

Chapter 15: Correlation And Regression

See Day 5: Correlation

See Day 6: Regression

Chapter 16: The Chi-Square Statistic: Tests

Appendix A: Basic Mathematics Review

Appendix B: Statistical Tables

Appendix C: Solutions For Odd-Numbered Problems In The Text

Appendix D: General Instructions For Using SPSS

# Statistics For Psychology

June 24, 2009 by kltangen

Filed under By The Book

One of the best things you can do in college is to build your personal library. You can Google, Yahoo or Bing everything else but you should have a few good books on your shelf. You need a general psych book, one on learning, an abnormal or personality text (to help explain your friends and relatives), and a good stat book. For the last category, here’s one you should consider.

Here is a good, hardcover, standard statistics text. It’s the fifth edition, so it’s been around long enough to get the kinks out. And it has been recently updated (2008), so it can last you for a long time. And it’s got what I’ve come to expect from Pearson (one of my favorite publishers): good paper, great graphics, and not overly flashy. It’s two-color, which is enough to give the pages some interest but not so colorful as to be distracting.

Aron, Aron & Coups do a good job with the material. It’s pretty straightforward. It’s not great writing–compared to me, of course J–but it won’t wear you out. Stats is best when presented straight ahead, and this trio pretty much does that. It doesn’t spend as much time on when to use what technique, or what the underlying assumptions are, but that’s not uncommon. This is a very serviceable book, and I give it high marks.

Aron, Arthur, Aron, Elaine & Coups, Elliot

Statistics for Psychology

1994-2009

5^{th} edition

Table of Contents

Chapter 1: Displaying the Order In a Group of Numbers

See Day 1: Measurement

Chapter 2: The Mean, Variance, Standard Deviation and Z Scores

See Day 2: Central Tendency

See Day 3: Dispersion

See Day 4: z scores

Chapter 3: Some Key Ingredients for Inferential Statistics

Chapter 4: Introduction to Hypothesis Testing

See Day 1: Measurement

Chapter 5: Hypothesis Tests With Means of Samples

Chapter 6: Making Sense of Statistical Significance

See Day 7: Probability

Chapter 7: Introduction to the t Test

Chapter 8: The t Test For Independent Means

See Day 8: Independent t-Test

Chapter 9: Introduction to the Analysis of Variance

See Day 9: One-way ANOVA

Chapter 10: Factorial Analysis of Variance

See Day 10: Advanced Procedures

Chapter 11: Correlation

See Day 5: Correlation

Chapter 12: Prediction

See Day 6: Regression

Chapter 13: Chi-Square Tests

Chapter 14: Strategies When Population Distributions Are Not Normal

Chapter 15: Making Sense of Advd Stat Procedures in Research Articles

See Day 10: Advanced Procedures

# Sadistic Statistics

April 1, 2009 by kltangen

Filed under By The Book

Gideon Horowitz’s classic book has a name that many people can relate to. Sometimes it does seem that statistics was invented to cause us problems, rather than solve them. The fates are sadistic.

Mr. Horowitz includes a good review of math functions: fractions (adding, subtracting..), percentiles, negative numbers, and squares, roots and how to approach formulas. I assume that you have this knowledge, or can Google it. And since its 30 years since this book was written, computers and calculators are so much more accessible. So I leave all of these things to technology. I probably shouldn’t, given that our math literacy may have dropped over that same time frame. I might have to reconsider.

He spends more time on coding than I do, and covers several topic my book ignores completely (chi-square, the sign test, and Wilcoxon signed-rank test). One of Horowitz’s best illustrations is how we misuse sampling in everyday life. We meet one person but conclude that “all men are alike.” In fact, we haven’t collected much data on the subject, certainly not enough to justify such a conclusion. It’s the danger we face when we use small samples: they often lead us to unwarranted speculation.

Although the book is out of print, it’s a good read, easy to understand, and worth having if you can find a copy. The official title is Sadistic Statistics: An Intro to Statistics for the Social and Behavioral Sciences (Avery Publishing, 1979-1981).

Here is an outline of its contents, and links to my take on those topics.

##### Sadistic Statistics

Outline

Chapter 1: Introduction

Chapter 2: A review of simple things

Fractions, percentiles, negative numbers

Chapter 3: Basic concepts

Variables and constants, levels of measurement,

Populations and samples

See Day 1: Measurement

Chapter 4: Organizing your data

Data tables and coding

See Day 1: Measurement

See Coding

Chapter 5: Measures of central tendency

Central tendency, mean, median & mode

See Day 2: Central Tendency

Chapter 6: Measures of dispersion

Range, variance, and Sum of Squares

See Day 3: Dispersion

Chapter 7: The normal distribution

See Day 2: Central Tendency

Chapter 8: A brief introduction to sampling and to Where it leads

Sample size, proportions, and impact of poor sampling

Chapter 9: Now do we get to probability? Probably

See Day 7: Probability

Chapter 10: The t distribution

Degrees of freedom, t-tests, and 1- and 2-tailed hypotheses

See Day 8: Independent t-Test

Chapter 11: The chi squared distribution

See Day 5: Correlation

Chapter 12: Correlation

See Day 5: Correlation

Chapter 13: Just for fun

Sign test, Wilcoxon signed ranks, phi and c coefficients

Tables