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
Author(s): Alexander Holmes; Barbara Illowsky; Susan Dean
Edition: 1
Publisher: OpenStax
Year: 2018
Language: English
Commentary: True PDF
Pages: 623
City: Houston
Tags: business statistics; commercial statistics
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
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