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

1.1 Definitions of Statistics, Probability, and Key Terms

1.2 Data, Sampling, and Variation in Data and Sampling

2.4 Sigma Notation and Calculating the Arithmetic Mean

2.6 Skewness and the Mean, Median, and Mode

3.2 Independent and Mutually Exclusive Events

3.4 Contingency Tables and Probability Trees

5.1 Properties of Continuous Probability Density Functions

6.3 Estimating the Binomial with the Normal Distribution

7.1 The Central Limit Theorem for Sample Means

7.3 The Central Limit Theorem for Proportions

8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

8.2 A Confidence Interval for a  Population Standard Deviation Unknown, Small Sample Case

8.3 A Confidence Interval for A Population Proportion

8.4 Calculating the Sample Size n: Continuous and Binary Random Variables

9.2 Outcomes and the Type I and Type II Errors

9.3 Distribution Needed for Hypothesis Testing

Chapter 9. Hypothesis Testing with One Sample

10.1 Comparing Two Independent Population Means

10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes

10.3 Test for Differences in Means: Assuming Equal Population Variances

10.4 Comparing Two Independent Population Proportions

10.5 Two Population Means with Known Standard Deviations

Chapter 10. Hypothesis Testing with Two Samples

11.1 Facts About the Chi-Square Distribution

Chapter 12. F Distribution and One-Way ANOVA

13.2 Testing the Significance of the Correlation Coefficient

13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

13.6 Predicting with a Regression Equation

13.7 How to Use Microsoft Excel® for Regression Analysis

Chapter 13. Linear Regression and Correlation

Appendix B Mathematical Phrases, Symbols, and Formulas

OpenStax

Alexander Holmes

“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.”


High School Statistics

Barbara Illowsky

Susan Dean

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.


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