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Business Statistics

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Business Statistics

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.

Applied StatisticsStatistics
Author
OpenStax
Publisher
LibreTexts
Source
LibreTexts
License
CC BY
Language
EN
Category
Business Administration
Read online Download PDF (open licence)
Contents· 198 sections
  1. 01: Sampling and Data
  2. 1.00: Introduction to Sampling and Data
  3. 1.01: Definitions of Statistics Probability and Key Terms
  4. 1.02: Data Sampling and Variation in Data and Sampling
  5. 1.03: Levels of Measurement
  6. 1.04: Experimental Design and Ethics
  7. 1.05: Sampling Experiment (Worksheet)
  8. 1.06: Key Terms
  9. 1.07: Review
  10. 1.08: Homework
  11. 1.09: References
  12. 1.10: Solutions
  13. 02: Descriptive Statistics
  14. 2.00: Introduction to Descriptive Statistics
  15. 2.01: Display Data
  16. 2.02: Measures of the Location of the Data
  17. 2.03: Measures of the Center of the Data
  18. 2.04: Sigma Notation and Calculating the Arithmetic Mean
  19. 2.05: Geometric Mean
  20. 2.06: Skewness and the Mean Median and Mode
  21. 2.07: Measures of the Spread of the Data
  22. 2.08: Descriptive Statistics (Worksheet)
  23. 2.09: Key Terms
  24. 2.10: Review
  25. 2.11: Formula Review
  26. 2.12: Practice
  27. 2.13: Homework
  28. 2.13.00: Homework
  29. 2.14: References
  30. 2.15: Solutions
  31. 03: Probability Topics
  32. 3.00: Introduction to Probability
  33. 3.01: Probability Terminology
  34. 3.02: Independent and Mutually Exclusive Events
  35. 3.03: Two Basic Rules of Probability
  36. 3.04: Contingency Tables and Probability Trees
  37. 3.05: Venn Diagrams
  38. 3.06: Conditional Probability and Bayes' Rule
  39. 3.07: Independent Events
  40. 3.08: Discrete Distribution Experiment (Worksheet)
  41. 3.09: Key Terms
  42. 3.10: Chapter Review
  43. 3.11: Formula Review
  44. 3.12: Practice
  45. 3.13: Bringing It Together- Practice
  46. 3.14: Homework
  47. 3.15: Bringing It Together- Homework
  48. 3.16: Reference
  49. 3.17: Solutions
  50. 04: Discrete Random Variables
  51. 4.00: Introduction to Discrete Random Variables
  52. 4.01: Hypergeometric Distribution
  53. 4.02: Binomial Distribution
  54. 4.03: Geometric Distribution
  55. 4.04: Poisson Distribution
  56. 4.05: Expected Value of Discrete Random Variables
  57. 4.06: Variance of Discrete Random Variables
  58. 4.07: Key Terms
  59. 4.08: Chapter Review
  60. 4.09: Formula Review
  61. 4.10: Practice
  62. 4.11: Homework
  63. 4.12: References
  64. 4.13: Solutions
  65. 05: Continuous Random Variables
  66. 5.00: Introduction to Continuous Random Variables
  67. 5.01: Properties of Continuous Probability Density Functions
  68. 5.02: The Uniform Distribution
  69. 5.03: The Exponential Distribution
  70. 5.04: Key Terms
  71. 5.05: Chapter Review
  72. 5.06: Formula Review
  73. 5.07: Practice
  74. 5.08: Homework
  75. 5.09: References
  76. 5.10: Solutions
  77. 06: The Normal Distribution
  78. 6.00: Introduction to Normal Distribution
  79. 6.01: The Standard Normal Distribution
  80. 6.02: Using the Normal Distribution
  81. 6.03: Estimating the Binomial with the Normal Distribution
  82. 6.04: Normal Distribution - Pinkie Length (Worksheet)
  83. 6.05: Key Terms
  84. 6.06: Chapter Review
  85. 6.07: Formula Review
  86. 6.08: Practice
  87. 6.09: Homework
  88. 6.10: References
  89. 6.11: Solutions
  90. 07: The Central Limit Theorem
  91. 7.00: Introduction to the Central Limit Theorem
  92. 7.01: The Central Limit Theorem for Sample Means
  93. 7.02: Using the Central Limit Theorem
  94. 7.03: The Central Limit Theorem for Proportions
  95. 7.04: Finite Population Correction Factor
  96. 7.05: Limit Theorem (Worksheet)
  97. 7.06: Key Terms
  98. 7.07: Chapter Review
  99. 7.08: Formula Review
  100. 7.09: Practice
  101. 7.10: Homework
  102. 7.11: References
  103. 7.12: Solutions
  104. 08: Confidence Intervals
  105. 8.00: Introduction to Confidence Intervals
  106. 8.01: A Confidence Interval for a Population Standard Deviation Known or Large Sample Size
  107. 8.02: A Confidence Interval for a Population Standard Deviation Unknown Small Sample Case
  108. 8.03: A Confidence Interval for A Population Proportion
  109. 8.04: Calculating the Sample Size n- Continuous and Binary Random Variables
  110. 8.05: Confidence Intervals - Inflation Rates (Worksheet)
  111. 8.06: Key Terms
  112. 8.07: Chapter Review
  113. 8.08: Formula Review
  114. 8.09: Practice
  115. 8.10: Homework
  116. 8.11: References
  117. 8.12: Solutions
  118. 09: Hypothesis Testing with One Sample
  119. 9.00: Introduction to Hypothesis Testing
  120. 9.01: Null and Alternative Hypotheses
  121. 9.02: Outcomes and the Type I and Type II Errors
  122. 9.03: One-Sample Test
  123. 9.04: Full Hypothesis Test Examples
  124. 9.05: Key Terms
  125. 9.06: Chapter Review
  126. 9.07: Formula Review
  127. 9.08: Practice
  128. 9.09: Homework
  129. 9.10: References
  130. 9.11: Solutions
  131. 10: Hypothesis Testing with Two Samples
  132. 10.00: Introduction to Two-Sample Tests
  133. 10.01: Comparing Two Independent Population Means
  134. 10.02: Cohen's Standards for Small Medium and Large Effect Sizes
  135. 10.03: Test for Differences in Means- Assuming Equal Population Variances
  136. 10.04: Comparing Two Independent Population Proportions
  137. 10.05: Two Population Means with Known Standard Deviations
  138. 10.06: Matched or Paired Samples
  139. 10.07: Key Terms
  140. 10.08: Chapter Review
  141. 10.09: Formula Review
  142. 10.10: Practice
  143. 10.11: Homework
  144. 10.12: Bringing It Together Homework
  145. 10.13: References
  146. 10.14: Solutions
  147. 11: The Chi-Square Distribution
  148. 11.00: Introduction to the Chi-Square Distribution
  149. 11.01: Facts About the Chi-Square Distribution
  150. 11.02: Test of a Single Variance
  151. 11.03: Goodness-of-Fit Test
  152. 11.04: Test of Independence
  153. 11.05: Test for Homogeneity
  154. 11.06: Comparison of the Chi-Square Texts
  155. 11.07: Key Terms
  156. 11.08: Chapter Review
  157. 11.09: Formula Review
  158. 11.10: Practice
  159. 11.11: Homework
  160. 11.12: References
  161. 11.13: Solutions
  162. 12: F Distribution and One-Way ANOVA
  163. 12.00: Introduction to the F-Distribtuion
  164. 12.01: Test of Two Variances
  165. 12.02: One-Way ANOVA
  166. 12.03: The F Distribution and the F-Ratio
  167. 12.04: Facts About the F Distribution
  168. 12.05: Key Terms
  169. 12.06: Chapter Review
  170. 12.07: Formula Review
  171. 12.08: Practice
  172. 12.09: Homework
  173. 12.10: References
  174. 12.11: Solutions
  175. 13: Linear Regression and Correlation
  176. 13.00: Introduction to Linear Regression and Correlation
  177. 13.01: The Correlation Coefficient r
  178. 13.02: Testing the Significance of the Correlation Coefficient
  179. 13.03: Linear Equations
  180. 13.04: The Regression Equation
  181. 13.05: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
  182. 13.06: Predicting with a Regression Equation
  183. 13.07: How to Use Microsoft Excel for Regression Analysis
  184. 13.08: Linear Regression - Income and Assets (Worksheet)
  185. 13.09: Key Terms
  186. 13.10: Chapter Review
  187. 13.11: Practice
  188. 13.12: Solutions
  189. 14: Apppendices
  190. 14.00: A Statistical Tables
  191. 14.0.00: F Distribution
  192. 14.0.01: Standard Normal Probability Distribution- Z Table
  193. 14.0.02: Student's t Distribution
  194. 14.0.03: 2 Probability Distribution
  195. 14.01: B Mathematical Phrases Symbols and Formulas
  196. 14.1.00: English Phrases Written Mathematically
  197. 14.1.01: Symbols and Their Meanings
  198. 14.1.02: Formulas