Elementary Statistics Using Excel - With Cd - 3rd edition

Chapter 1. Introduction to Statistics

1-1. Overview
1-2. Types of Data
1-3. Critical Thinking.
1-4. Design of Experiments
1-5. Introduction to Excel.

Chapter 2. Summarizing and Graphing Data.

2-1. Overview.
2-2. Frequency Distributions.
2-3. Histograms
2-4. Statistical Graphics.

Chapter 3. Statistics for Describing, Exploring, and Comparing Data.

3-1. Overview.
3-2. Measures of Center.
3-3. Measures of Variation
3-4. Measures of Relative Standing.
3-5. Exploratory Data Analysis (EDA).

Chapter 4. Probability.

4-1. Overview.
4-2. Fundamentals.
4-3. Addition Rule.
4-4. Multiplication Rule: Basics.
4-5. Multiplication Rule: Complements and Conditional Probability.
4-6. Probabilities Through Simulations.
4-7. Counting.
4-8. Bayes' Theorem (on CD-ROM)

Chapter 5. Probability Distributions.

5-1. Overview.
5-2. Random Variables.
5-3. Binomial Probability Distributions.
5-4. Mean, Variance, and Standard Deviation for the Binomial Distribution.
5-5. The Poisson Distribution.

Chapter 6. Normal Probability Distributions.

6-1. Overview.
6-2. The Standard Normal Distribution.
6-3. Applications of Normal Distributions.
6-4. Sampling Distributions and Estimators.
6-5. The Central Limit Theorem.
6-6. Normal as Approximation to Binomial.
6-7. Assessing Normality.

Chapter 7. Estimates and Sample Sizes.

7-1. Overview.
7-2. Estimating a Population Proportion.
7-3. Estimating a Population Mean: ? Known.
7-4. Estimating a Population Mean: ? Not Known.
7-5. Estimating a Population Variance.

Chapter 8. Hypothesis Testing.

8-1. Overview.
8-2. Basics of Hypothesis Testing.
8-3. Testing a Claim about a Proportion.
8-4. Testing a Claim about a Mean: ? Known.
8-5. Testing a Claim about a Mean: ? Not Known.
8-6. Testing a Claim about Variation.

Chapter 9. Inferences from Two Samples.

9-1. Overview.
9-2. Inferences about Two Proportions.
9-3. Inferences about Two Means: Independent Samples.
9-4. Inferences from Matched Pairs.
9-5. Comparing Variation in Two Samples.

Chapter 10. Correlation and Regression.

10-1. Overview.
10-2. Correlation.
10-3. Regression.
10-4. Variation and Prediction Intervals.
10-5. Multiple Regression.
10-6. Modeling.

Chapter 11. Multinomial Experiments and Contingency Tables.

11-1. Overview.
11-2. Multinomial Experiments: Goodness- f-Fit.
11-3. Contingency Tables: Independence and Homogeneity.
11-4. McNemar's Test for Matched Pairs.

Chapter 12. Analysis of Variance.

12-1. Overview.
12-2. One-Way ANOVA.
12-3. Two-Way ANOVA.

Chapter 13. Nonparametric Statistics.

13-1. Overview.
13-2. Sign Test.
13-3. Wilcoxon Signed-Ranks Test for Matched Pairs.
13-4. Wilcoxon Rank-Sum Test for Two Independent Samples.
13-5. Kruskal-Wallis Test.
13-6. Rank Correlation.
13-7. Runs Test for Randomness.

Chapter 14. Statistical Process Control.

14-1. Overview.
14-2. Control Charts for Variation and Mean.
14-3. Control Charts for Attributes.

Chapter 15. Projects, Procedures, Perspectives

15-1. Projects.
15-2. Procedures.
15-3. Perspectives.

Appendices.
Appendix A: Tables.
Appendix B: Data Sets.
Appendix C: Excel References.
Appendix D: Glossary
Appendix E: Bibliography.
Appendix F: Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review Exercises).
Credits.