Business Statistics

by OpenStax

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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.

Description from LibreTexts.

Subjects
Statistics, Applied Statistics
Licence
CC BY 4.0, as LibreTexts states it
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

LibreTexts writes equations in TeX, and here they show as TeX; the PDF has them typeset.

  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Licensing
  6. Preface
  7. 1: Sampling and Data
  8. 1.0: Introduction to Sampling and Data
  9. 1.1: Definitions of Statistics, Probability, and Key Terms
  10. 1.2: Data, Sampling, and Variation in Data and Sampling
  11. 1.3: Levels of Measurement
  12. 1.4: Experimental Design and Ethics
  13. 1.5: Sampling Experiment (Worksheet)
  14. 1.6: Key Terms
  15. 1.7: Review
  16. 1.8: Homework
  17. 1.9: References
  18. 1.10: Solutions
  19. 2: Descriptive Statistics
  20. 2.0: Introduction to Descriptive Statistics
  21. 2.1: Display Data
  22. 2.2: Measures of the Location of the Data
  23. 2.3: Measures of the Center of the Data
  24. 2.4: Sigma Notation and Calculating the Arithmetic Mean
  25. 2.5: Geometric Mean
  26. 2.6: Skewness and the Mean, Median, and Mode
  27. 2.7: Measures of the Spread of the Data
  28. 2.8: Descriptive Statistics (Worksheet)
  29. 2.9: Key Terms
  30. 2.10: Review
  31. 2.11: Formula Review
  32. 2.12: Practice
  33. 2.13: Homework
  34. 2.13.0: Homework
  35. 2.14: References *
  36. 2.15: Solutions
  37. 3: Probability Topics
  38. 3.0: Introduction to Probability
  39. 3.1: Probability Terminology
  40. 3.2: Independent and Mutually Exclusive Events *
  41. 3.3: Two Basic Rules of Probability
  42. 3.4: Contingency Tables and Probability Trees
  43. 3.5: Venn Diagrams
  44. 3.6: Conditional Probability and Bayes' Rule
  45. 3.7: Independent Events
  46. 3.8: Discrete Distribution Experiment (Worksheet) **
  47. 3.9: Key Terms
  48. 3.10: Chapter Review
  49. 3.11: Formula Review
  50. 3.12: Practice
  51. 3.13: Bringing It Together- Practice
  52. 3.14: Homework
  53. 3.15: Bringing It Together- Homework
  54. 3.16: Reference
  55. 3.17: Solutions
  56. 4: Discrete Random Variables
  57. 4.0: Introduction to Discrete Random Variables
  58. 4.1: Hypergeometric Distribution *
  59. 4.2: Binomial Distribution
  60. 4.3: Geometric Distribution
  61. 4.4: Poisson Distribution
  62. 4.5: Expected Value of Discrete Random Variables **
  63. 4.6: Variance of Discrete Random Variables
  64. 4.7: Key Terms
  65. 4.8: Chapter Review
  66. 4.9: Formula Review
  67. 4.10: Practice
  68. 4.11: Homework
  69. 4.12: References
  70. 4.13: Solutions
  71. 5: Continuous Random Variables
  72. 5.0: Introduction to Continuous Random Variables
  73. 5.1: Properties of Continuous Probability Density Functions
  74. 5.2: The Uniform Distribution
  75. 5.3: The Exponential Distribution **
  76. 5.4: Key Terms
  77. 5.5: Chapter Review
  78. 5.6: Formula Review
  79. 5.7: Practice
  80. 5.8: Homework
  81. 5.9: References
  82. 5.10: Solutions
  83. 6: The Normal Distribution
  84. 6.0: Introduction to Normal Distribution **
  85. 6.1: The Standard Normal Distribution
  86. 6.2: Using the Normal Distribution
  87. 6.3: Estimating the Binomial with the Normal Distribution
  88. 6.4: Normal Distribution - Pinkie Length (Worksheet) **
  89. 6.5: Key Terms
  90. 6.6: Chapter Review
  91. 6.7: Formula Review
  92. 6.8: Practice
  93. 6.9: Homework
  94. 6.10: References
  95. 6.11: Solutions
  96. 7: The Central Limit Theorem
  97. 7.0: Introduction to the Central Limit Theorem
  98. 7.1: The Central Limit Theorem for Sample Means
  99. 7.2: Using the Central Limit Theorem
  100. 7.3: The Central Limit Theorem for Proportions
  101. 7.4: Finite Population Correction Factor
  102. 7.5: Limit Theorem (Worksheet)
  103. 7.6: Key Terms
  104. 7.7: Chapter Review
  105. 7.8: Formula Review
  106. 7.9: Practice
  107. 7.10: Homework
  108. 7.11: References
  109. 7.12: Solutions
  110. 8: Confidence Intervals
  111. 8.0: Introduction to Confidence Intervals
  112. 8.1: A Confidence Interval for a Population Standard Deviation Known or Large Sample Size
  113. 8.2: A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case
  114. 8.3: A Confidence Interval for A Population Proportion
  115. 8.4: Calculating the Sample Size n- Continuous and Binary Random Variables
  116. 8.5: Confidence Intervals - Inflation Rates (Worksheet)
  117. 8.6: Key Terms
  118. 8.7: Chapter Review
  119. 8.8: Formula Review
  120. 8.9: Practice
  121. 8.10: Homework
  122. 8.11: References
  123. 8.12: Solutions
  124. 9: Hypothesis Testing with One Sample
  125. 9.0: Introduction to Hypothesis Testing
  126. 9.1: Null and Alternative Hypotheses
  127. 9.2: Outcomes and the Type I and Type II Errors
  128. 9.3: One-Sample Test
  129. 9.4: Full Hypothesis Test Examples
  130. 9.5: Key Terms
  131. 9.6: Chapter Review
  132. 9.7: Formula Review
  133. 9.8: Practice
  134. 9.9: Homework
  135. 9.10: References
  136. 9.11: Solutions
  137. 10: Hypothesis Testing with Two Samples
  138. 10.0: Introduction to Two-Sample Tests
  139. 10.1: Comparing Two Independent Population Means
  140. 10.2: Cohen's Standards for Small, Medium, and Large Effect Sizes
  141. 10.3: Test for Differences in Means- Assuming Equal Population Variances
  142. 10.4: Comparing Two Independent Population Proportions
  143. 10.5: Two Population Means with Known Standard Deviations
  144. 10.6: Matched or Paired Samples
  145. 10.7: Key Terms
  146. 10.8: Chapter Review
  147. 10.9: Formula Review
  148. 10.10: Practice
  149. 10.11: Homework
  150. 10.12: Bringing It Together Homework
  151. 10.13: References
  152. 10.14: Solutions
  153. 11: The Chi-Square Distribution
  154. 11.0: Introduction to the Chi-Square Distribution
  155. 11.1: Facts About the Chi-Square Distribution
  156. 11.2: Test of a Single Variance
  157. 11.3: Goodness-of-Fit Test
  158. 11.4: Test of Independence
  159. 11.5: Test for Homogeneity
  160. 11.6: Comparison of the Chi-Square Texts
  161. 11.7: Key Terms
  162. 11.8: Chapter Review
  163. 11.9: Formula Review
  164. 11.10: Practice
  165. 11.11: Homework
  166. 11.12: References
  167. 11.13: Solutions
  168. 12: F Distribution and One-Way ANOVA
  169. 12.0: Introduction to the F-Distribtuion
  170. 12.1: Test of Two Variances
  171. 12.2: One-Way ANOVA
  172. 12.3: The F Distribution and the F-Ratio
  173. 12.4: Facts About the F Distribution
  174. 12.5: Key Terms
  175. 12.6: Chapter Review
  176. 12.7: Formula Review
  177. 12.8: Practice
  178. 12.9: Homework
  179. 12.10: References
  180. 12.11: Solutions
  181. 13: Linear Regression and Correlation
  182. 13.0: Introduction to Linear Regression and Correlation
  183. 13.1: The Correlation Coefficient r
  184. 13.2: Testing the Significance of the Correlation Coefficient
  185. 13.3: Linear Equations
  186. 13.4: The Regression Equation
  187. 13.5: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
  188. 13.6: Predicting with a Regression Equation
  189. 13.7: How to Use Microsoft Excel® for Regression Analysis
  190. 13.8: Linear Regression - Income and Assets (Worksheet)
  191. 13.9: Key Terms
  192. 13.10: Chapter Review
  193. 13.11: Practice
  194. 13.12: Solutions
  195. 14: Apppendices
  196. 14.0: A | Statistical Tables
  197. 14.0.0: F Distribution
  198. 14.0.1: Standard Normal Probability Distribution- Z Table
  199. 14.0.2: Student's t Distribution
  200. 14.0.3: χ2 Probability Distribution
  201. 14.1: B | Mathematical Phrases, Symbols, and Formulas
  202. 14.1.0: English Phrases Written Mathematically
  203. 14.1.1: Symbols and Their Meanings
  204. 14.1.2: Formulas
  205. Back Matter
  206. Glossary
  207. Index
  208. Detailed Licensing