Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.


Introductory Statistics

1.1 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

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

2.2 Histograms, Frequency Polygons, and Time Series Graphs

2.6 Skewness and the Mean, Median, and Mode

3.2 Independent and Mutually Exclusive Events

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

4.2 Mean or Expected Value and Standard Deviation

4.7 Discrete Distribution (Playing Card Experiment)

4.8 Discrete Distribution (Lucky Dice Experiment)

7.1 The Central Limit Theorem for Sample Means (Averages)

7.4 Central Limit Theorem (Pocket Change)

7.5 Central Limit Theorem (Cookie Recipes)

8.1 A Single Population Mean using the Normal Distribution

8.2 A Single Population Mean using the Student t Distribution

8.6 Confidence Interval (Women's Heights)

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

9.6 Hypothesis Testing of a Single Mean and Single Proportion

Chapter 9. Hypothesis Testing with One Sample

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

10.5 Hypothesis Testing for Two Means and Two Proportions

Chapter 10. Hypothesis Testing with Two Samples

11.1 Facts About the Chi-Square Distribution

11.8 Lab 2: Chi-Square Test of Independence

12.4 Testing the Significance of the Correlation Coefficient

Chapter 12. Linear Regression and Correlation

Chapter 13. F Distribution and One-Way ANOVA

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

Appendix F Mathematical Phrases, Symbols, and Formulas

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

OpenStax

Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline which will serve students in their business careers and real-world experiences.

Introductory Business Statistics

Alexander Holmes

Barbara Illowsky

Susan Dean

“This instructional material was initially created through a Texas Education Agency (TEA) initiative to provide high-quality open-source instructional materials to districts free of charge. Funds were allocated by the 84th Texas Legislature (2015) for the creation of state-developed, open-source instructional materials with the request that advanced secondary courses supporting the study of science, technology, engineering, and mathematics should be prioritized.
Statistics covers the scope and sequence requirements of a typical one-year statistics course. The text provides comprehensive coverage of statistical concepts, including quantitative examples, collaborative activities, and practical applications. Statistics was designed to meet and exceed the requirements of the relevant Texas Essential Knowledge and Skills (TEKS), while allowing significant flexibility for instructors.”


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Introductory Statistics

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Barbara Illowsky

Introductory Business Statistics

High School Statistics

Barbara Illowsky

Susan Dean

Susan Dean