Statistics for people who (think they) hate statistics
Written by: Neil J Salkind, Bruce B FreyRead by: March, 2022Contents
Chapter 1: Statistics or sadistics? Its up to you
Chapter 2: Computing and understanding averages, a means to an end
Chapter 3: Understanding variability, Vive la difference
Chapter 4: Creating graphs: A picture is worth a thousand words
Chapter 5: Computing correlation coefficients
Chapter 6: An Introduction to understanding reliability and validity
Chapter 7: Hypotheticals and you
Chapter 8: Probability and why it counts
Chapter 9: Significantly significant: What it means
Chapter 10: The one-sample Z test
Chapter 11: t(ea) for two: Tests between the mean
Chapter 12: t(ea) for two (again)
Chapter 13: Two groups too many? Try analysis of variance
Chapter 14: Two too many factors: Factorial Analysis of Variance
Chapter 15: testing relationships using the correlation coefficient
Chapter 16: Using linear regression
Chapter 17: Chi-square and some other nonparametric tests
Chapter 18: Some other (important) statistical procedures you should know about
Chapter 19: Data mining: An intro to getting the most out of your big data
Summary
This book was written with the intention of being a bridge for those who have not yet taken an elementrary statistics course, and those looking for a refresher on some concepts they may have overlooked when taking this courses. When I originally read this book, I was in the latter camp. While I had passed my elementary statistics course with flying colors, I was looking for something to refresh my memory on concepts I may have overlooked when trying to pass the tests.
Thankfully, this book did an excellent job the further along you read. While sure it covered some basic things like calculating mean, determining your h1 hypothesis and calculating variance, it gradually escalated to linear regression, tails testing and correlation coefficients. While not a book I’d recommend for more advanced statistical concepts, it ended up being a great refresher for myself and got me to memorize a lot of statistical formulas that have served me well without having to resort to using excel for the formula.
