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**“Introductory Statistics” Volume 1 & 2 (2013)**

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### Pedagogical Foundation and Features

• Examples are placed strategically throughout the text to show students the step-by-step process of interpreting and solving statistical problems. To keep the text relevant for students, the examples are drawn from a broad spectrum of practical topics; these include examples about college life and learning, health and medicine, retail and business, and sports and entertainment.

• Try It practice problems immediately follow many examples and give students the opportunity to practice as they read the text. They are usually based on practical and familiar topics, like the Examples themselves.

• Collaborative Exercises provide an in-class scenario for students to work together to explore presented concepts.

• Using the TI-83, 83+, 84, 84+ Calculator shows students step-by-step instructions to input problems into their calculator.

• The Technology Icon indicates where the use of a TI calculator or computer software is recommended.

• Practice, Homework, and Bringing It Together problems give the students problems at various degrees of difficulty while also including real-world scenarios to engage students.

Used Extensively for Many Years

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**Buy** Print Format Volume 1 **$50.94** (quality paperback, grayscale , 733 pages)

**Buy** Print Format Volume 2 **$15.00 **(quality paperback, grayscale, 128 pages)

Download Volume 1 “Introductory Statistics” (All chapters, excludes extra exercises and appendices) (free pdf, 733 pages, 30 Mb)

Download Volume 2 (Extra Exercises and Appendices) (free pdf, 128 pages, 2.3 Mb)

Download full textbook (free pdf, 28 MB, 850 pages)

View Original Author’s Website

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## Table of Contents Volume 1

### Chapter 1: Sampling and Data

Definitions of Statistics, Probability, and Key Terms

1.2 Data, Sampling, and Variation in Data and Sampling

1.3 Frequency, Frequency Tables, and Levels of Measurement

1.4 Experimental Design and Ethics

### Chapter 2: Descriptive Statistics

2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs

2.2 Histograms, Frequency Polygons, and Time Series Graphs

2.3 Measures of the Location of the Data

2.4 Box Plots

2.5 Measures of the Center of the Data

2.6 Skewness and the Mean, Median, and Mode

2.7 Measures of the Spread of the Data

### Chapter 3: Probability Topics

3.1 Terminology 164

3.2 Independent and Mutually Exclusive Events

3.3 Two Basic Rules of Probability

3.4 Contingency Tables

3.5 Tree and Venn Diagrams

### Chapter 4: Discrete Random Variables

4.1 Probability Distribution Function (PDF) for a Discrete Random Variable

4.2 Mean or Expected Value and Standard Deviation

4.3 Binomial Distribution

4.4 Geometric Distribution

4.5 Hypergeometric Distribution

4.6 Poisson Distribution

### Chapter 5: Continuous Random Variables

5.1 Continuous Probability Functions

5.2 The Uniform Distribution

5.3 The Exponential Distribution

### Chapter 6: The Normal Distribution

6.1 The Standard Normal Distribution

6.2 Using the Normal Distribution

### Chapter 7: The Central Limit Theorem

7.1 The Central Limit Theorem for Sample Means (Averages)

7.2 The Central Limit Theorem for Sums

7.3 Using the Central Limit Theorem

### Chapter 8: Confidence Intervals

8.1 A Single Population Mean using the Normal Distribution

8.2 A Single Population Mean using the Student t Distribution

8.3 A Population Proportion 427

### Chapter 9: Hypothesis Testing with One Sample

9.1 Null and Alternative Hypotheses

9.2 Outcomes and the Type I and Type II Errors

9.3 Distribution Needed for Hypothesis Testing

9.4 Rare Events, the Sample, Decision and Conclusion

9.5 Additional Information and Full Hypothesis Test Examples

### Chapter 10: Hypothesis Testing with Two Samples

10.1 Two Population Means with Unknown Standard Deviations

10.2 Two Population Means with Known Standard Deviations

10.3 Comparing Two Independent Population Proportions

10.4 Matched or Paired Samples

### Chapter 11: The Chi-Square Distribution

11.1 Facts About the Chi-Square Distribution

11.2 Goodness-of-Fit Test

11.3 Test of Independence

11.4 Test for Homogeneity

11.5 Comparison of the Chi-Square Tests

11.6 Test of a Single Variance

### Chapter 12: Linear Regression and Correlation

12.1 Linear Equations

12.2 Scatter Plots

12.3 The Regression Equation

12.4 Testing the Significance of the Correlation Coefficient

12.5 Prediction

12.6 Outliers

### Chapter 13: F Distribution and One-Way ANOVA

13.1 One-Way ANOVA

13.2 The F Distribution and the F-Ratio

13.3 Facts About the F Distribution

13.4 Test of Two Variances

## Table of Contents Volume 2

Appendix A: Review Exercises (Ch 3-13)

Appendix B: Practice Tests (1-4) and Final Exams

Appendix C: Data Sets

Appendix D: Group and Partner Projects

Appendix E: Solution Sheets

Appendix F: Mathematical Phrases, Symbols, and Formulas

Appendix G: Notes for the TI-83, 83+, 84, 84+ Calculators

Appendix H: Tables

Index

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