# Book:Charles Henry Brase/Understandable Statistics/Tenth Edition

## Charles Henry Brase and Corrinne Pellillo Brase: *Understandable Statistics (10th Edition)*

Published $\text {2011}$, **Cengage Learning**

- ISBN 1-133-15202-3

### Subject Matter

### Contents

1. Getting Started

- 1.1 What is Statistics?
- 1.2 Random Samples
- 1.3 Introduction to Experimental Design

2. Organizing Data

- 2.1 Frequency Distributions, Histograms, and Related Topics
- 2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs
- 2.3 Stem-and-Leaf Displays

3. Averages and Variation

- 3.1 Measures of Central Tendency: Mode, Median, and Mean
- 3.2 Measures of Variation
- 3.3 Percentiles and Box-and-Whiskers Plots

4. Elementary Probability Theory

- 4.1 What is Probability?
- 4.2 Some Probability Rules--Compound Events
- 4.3 Trees and Counting Techniques

5. The Binomial Probability Distribution and Related Topics

- 5.1 Introduction to Random Variables and Probability Distributions
- 5.2 Binomial Probabilities
- 5.3 Additional Properties of the Binomial Distribution
- 5.4 The Geometric and Poisson Probability Distribution

6. Normal Curves and Sampling Distributions

- 6.1 Graphs of Normal Probability Distributions
- 6.2 Standard Units and Areas Under the Standard Normal Distribution
- 6.3 Areas Under Any Normal Curve
- 6.4 Sampling Distributions
- 6.5 The Central Limit Theorem
- 6.6 Normal APproximation to Binomial Distribution and to $\hat p$ Distribution

7. Estimation

- 7.1 Estimating $\mu$ when $\sigma$ Is Known
- 7.2 Estimating $\mu$ when $\sigma$ Is Unknown
- 7.3 Estimating $p$ in the Binomial Distribution
- 7.4 Estimating $\mu_1 - \mu_2$ and $p_1 - p_2$

8. Hypothesis Testing

- 8.1 Introduction to Statistical Tests
- 8.2 Testing the Mean $\mu$
- 8.3 Testing a Proportion $p$
- 8.4 Tests Involving Paired Differences (Dependent Samples)
- 8.5 Testing $\mu_1 - \mu_2$ and $p_1 - p_2$ (Independent Samples)

9. Correlation and Regression

- 9.1 Scatter Diagrams and Linear Correlation
- 9.2 Linear Regression and the Coefficient of Determination
- 9.3 Inferences for Correlation and Regression
- 9.4 Multiple Regression

10. Chi-Square and $F$ Distributions

- 10.1 Chi-Square: Tests of Independence and Homogeneity
- 10.2 Chi-Square: Goodness of Fit
- 10.3 Testing and Estimating a Single Variance or Standard Deviation
- 10.4 Testing Two Variances
- 10.5 One-Way ANOVA: Comparing Several Sample Means
- 10.6 Introduction to Two-Way ANOVA

11. Nonparametric Statistics

- 11.1 The Sign Test for Matched Pairs
- 11.2 The Rank-Sum Test
- 11.3 Spearman Rank Correlation
- 11.4 Runs Test for Randomness

Appendix I: Additional Topics

- Part I: Bayes's Theorem
- Part II: The Hypergeometric Probability Distribution

Appendix II: Tables

## Critical view

**DO NOT BUY THE HYBRID EDITION OF THIS TEXT.**

The questions are not included. You need to go online to get them, with an access code that you get from your course tutor. The upshot of it is that you will **not be able to sell this book** at the end of your semester. **YOU ARE BEING RIPPED OFF!!!**

If you are tempted to start a course which requires that the purchase of the "Hybrid" edition, **change college immediately, as a matter of urgency**, and if you can possibly manage it, **change your nation of domicile**.