Introductory Business Statistics (Fall 2020 Corrected Edition)

Description

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. Senior Contributing Authors Alexander Holmes, The University of Oklahoma Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Kevin Hadley, Federal Reserve Bank of Kansas City Preface 1. About OpenStax 2. About OpenStax resources 3. About Introductory Business Statistics 4. Additional resources 5. About the authors Chapter 1. Sampling and Data 1.1. Definitions of Statistics, Probability, and Key Terms* 1.2. Data, Sampling, and Variation in Data and Sampling* 1.3. Levels of Measurement* 1.4. Experimental Design and Ethics* Glossary Chapter 2. Descriptive Statistics 2.1. Display Data* 2.2. Measures of the Location of the Data* 2.3. Measures of the Center of the Data* 2.4. Sigma Notation and Calculating the Arithmetic Mean* 2.5. Geometric Mean* 2.6. Skewness and the Mean, Median, and Mode* 2.7. Measures of the Spread of the Data* Glossary Chapter 3. Probability Topics 3.1. Terminology* 3.2. Independent and Mutually Exclusive Events* 3.3. Two Basic Rules of Probability* 3.4. Contingency Tables and Probability Trees* 3.5. Venn Diagrams* Glossary Chapter 4. Discrete Random Variables 4.1. Hypergeometric Distribution* 4.2. Binomial Distribution* 4.3. Geometric Distribution* 4.4. Poisson Distribution* Glossary Chapter 5. Continuous Random Variables 5.1. Properties of Continuous Probability Density Functions* 5.2. The Uniform Distribution* 5.3. The Exponential Distribution* Glossary Chapter 6. The Normal Distribution 6.1. The Standard Normal Distribution* 6.2. Using the Normal Distribution* 6.3. Estimating the Binomial with the Normal Distribution* Glossary Chapter 7. The Central Limit Theorem 7.1. The Central Limit Theorem for Sample Means* 7.2. Using the Central Limit Theorem* 7.3. The Central Limit Theorem for Proportions* 7.4. Finite Population Correction Factor* Glossary Chapter 8. Confidence Intervals 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* Glossary 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. Full Hypothesis Test Examples* Glossary Chapter 10. Hypothesis Testing with Two Samples 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* 10.6. Matched or Paired Samples* Glossary Chapter 11. The Chi-Square Distribution 11.1. Facts About the Chi-Square Distribution* 11.2. Test of a Single Variance* 11.3. Goodness-of-Fit Test* 11.4. Test of Independence* 11.5. Test for Homogeneity* 11.6. Comparison of the Chi-Square Tests* Glossary Chapter 12. F Distribution and One-Way ANOVA 12.1. Test of Two Variances* 12.2. One-Way ANOVA* 12.3. The F Distribution and the F-Ratio* 12.4. Facts About the F Distribution* Glossary Chapter 13. Linear Regression and Correlation 13.1. The Correlation Coefficient r* 13.2. Testing the Significance of the Correlation Coefficient* 13.3. Linear Equations* 13.4. The Regression Equation* 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* Glossary Appendix A. Statistical Tables* A.1. F Distribution A.2. Standard Normal Probability Distribution: Z Table A.3. Student's t Distribution A.4. χ2 Probability Distribution Appendix B. Mathematical Phrases, Symbols, and Formulas* B.1. English Phrases Written Mathematically B.2. Symbols and Their Meanings B.3. Formulas Index Blank Page