►TBQ Editors, "Introductory Statistics" Volume 1 & 2 (2013)


“Introductory Statistics” Volume 1 & 2 (2013)

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
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

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

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