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Introductory Statistics 2e (OpenStax)

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Introductory Statistics 2e (OpenStax)

This text 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.

Introductory StatisticsStatistics
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Kế toán - Kiểm toán
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Mục lục· 194 mục
  1. 01: Sampling and Data
  2. 1.01: Introduction
  3. 1.02: Definitions of Statistics Probability and Key Terms
  4. 1.03: Data Sampling and Variation in Data and Sampling
  5. 1.04: Levels of Measurement
  6. 1.05: Experimental Design and Ethics
  7. 1.06: Data Collection Experiment
  8. 1.07: Sampling Experiment
  9. 1.08: Key Terms
  10. 1.09: Chapter Review
  11. 1.10: Homework
  12. 1.11: References
  13. 1.12: Solutions
  14. 02: Descriptive Statistics
  15. 2.01: Introduction
  16. 2.02: Stem and Leaf Graphs (Stemplots) Line Graphs and Bar Graphs
  17. 2.03: Histograms Frequency Polygons and Time Series Graphs
  18. 2.04: Measures of the Location of the Data
  19. 2.05: Box Plots
  20. 2.06: Measures of the Center of the Data
  21. 2.07: Skewness and the Mean Median and Mode
  22. 2.08: Measures of the Spread of the Data
  23. 2.09: Descriptive Statistics
  24. 2.10: Key Terms
  25. 2.11: Chapter Review
  26. 2.12: Formula Review
  27. 2.13: Practice
  28. 2.14: Homework
  29. 2.15: Bringing It Together- Homework
  30. 2.16: References
  31. 2.17: Solutions
  32. 2.18: Geometric Mean
  33. 2.19: Sigma Notation and Calculating the Arithmetic Mean
  34. 03: Probability Topics
  35. 3.01: Introduction
  36. 3.02: Terminology
  37. 3.03: Independent and Mutually Exclusive Events
  38. 3.04: Two Basic Rules of Probability
  39. 3.05: Contingency Tables and Probability Trees
  40. 3.06: Tree and Venn Diagrams
  41. 3.07: Probability Topics
  42. 3.08: Key Terms
  43. 3.09: Chapter Review
  44. 3.10: Formula Review
  45. 3.11: Practice
  46. 3.12: Bringing It Together- Practice
  47. 3.13: Homework
  48. 3.14: Bringing It Together- Homework
  49. 3.15: References
  50. 3.16: Solutions
  51. 04: Discrete Random Variables
  52. 4.01: Introduction
  53. 4.02: Probability Distribution Function (PDF) for a Discrete Random Variable
  54. 4.03: Mean or Expected Value and Standard Deviation
  55. 4.04: Binomial Distribution
  56. 4.05: Geometric Distribution
  57. 4.06: Hypergeometric Distribution
  58. 4.07: Poisson Distribution
  59. 4.08: Discrete Distribution (Playing Card Experiment)
  60. 4.09: Discrete Distribution (Dice Experiment Using Three Regular Dice)
  61. 4.10: Key Terms
  62. 4.11: Chapter Review
  63. 4.12: Formula Review
  64. 4.13: Practice
  65. 4.14: Homework
  66. 4.15: References
  67. 4.16: Solutions
  68. 05: Continuous Random Variables
  69. 5.01: Introduction
  70. 5.02: Continuous Probability Functions
  71. 5.03: The Uniform Distribution
  72. 5.04: The Exponential Distribution
  73. 5.05: Continuous Distribution
  74. 5.06: Key Terms
  75. 5.07: Chapter Review
  76. 5.08: Formula Review
  77. 5.09: Practice
  78. 5.10: Homework
  79. 5.11: References
  80. 5.12: Solutions
  81. 06: The Normal Distribution
  82. 6.01: Introduction
  83. 6.02: The Standard Normal Distribution
  84. 6.03: Using the Normal Distribution
  85. 6.04: Key Terms
  86. 6.05: Chapter Review
  87. 6.06: Formula Review
  88. 6.07: Practice
  89. 6.08: Homework
  90. 6.09: References
  91. 6.10: Normal Distribution (Lap Times)
  92. 6.11: Solutions
  93. 6.12: Normal Distribution (Pinkie Length)
  94. 07: The Central Limit Theorem
  95. 7.01: Introduction
  96. 7.02: The Central Limit Theorem for Sample Means (Averages)
  97. 7.03: Using the Central Limit Theorem
  98. 7.04: Key Terms
  99. 7.05: Chapter Review
  100. 7.06: Formula Review
  101. 7.07: Practice
  102. 7.08: Homework
  103. 7.09: References
  104. 7.10: Solutions
  105. 7.11: The Central Limit Theorem for Sums
  106. 7.12: Central Limit Theorem (Pocket Change)
  107. 7.13: Central Limit Theorem (Cookie Recipes)
  108. 08: Confidence Intervals
  109. 8.01: Introduction
  110. 8.02: A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
  111. 8.03: A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
  112. 8.04: A Confidence Interval for A Population Proportion
  113. 8.05: Calculating the Sample Size n- Continuous and Binary Random Variables
  114. 8.06: Key Terms
  115. 8.07: Chapter Review
  116. 8.08: Formula Review
  117. 8.09: Practice
  118. 8.10: Homework
  119. 8.11: References
  120. 8.12: Solutions
  121. 09: Hypothesis Testing with One Sample
  122. 9.01: Introduction
  123. 9.02: Null and Alternative Hypotheses
  124. 9.03: Outcomes and the Type I and Type II Errors
  125. 9.04: Probability Distribution Needed for Hypothesis Testing
  126. 9.05: Full Hypothesis Test Examples
  127. 9.06: Key Terms
  128. 9.07: Chapter Review
  129. 9.08: Formula Review
  130. 9.09: Practice
  131. 9.10: Homework
  132. 9.11: References
  133. 9.12: Solutions
  134. 10: Hypothesis Testing with Two Samples
  135. 10.01: Introduction
  136. 10.02: Comparing Two Independent Population Means
  137. 10.03: Cohen's Standards for Small Medium and Large Effect Sizes
  138. 10.04: Test for Differences in Means- Assuming Equal Population Variances
  139. 10.05: Comparing Two Independent Population Proportions
  140. 10.06: Two Population Means with Known Standard Deviations
  141. 10.07: Matched or Paired Samples
  142. 10.08: Key Terms
  143. 10.09: Chapter Review
  144. 10.10: Formula Review
  145. 10.11: Practice
  146. 10.12: Homework
  147. 10.13: Bringing It Together- Homework
  148. 10.14: References
  149. 10.15: Solutions
  150. 11: The Chi-Square Distribution
  151. 11.01: Introduction
  152. 11.02: Facts About the Chi-Square Distribution
  153. 11.03: Test of a Single Variance
  154. 11.04: Goodness-of-Fit Test
  155. 11.05: Test of Independence
  156. 11.06: Test for Homogeneity
  157. 11.07: Comparison of the Chi-Square Tests
  158. 11.08: Key Terms
  159. 11.09: Chapter Review
  160. 11.10: Formula Review
  161. 11.11: Practice
  162. 11.12: Homework
  163. 11.13: Bringing It Together- Homework
  164. 11.14: References
  165. 11.15: Solutions
  166. 12: F Distribution and One-Way ANOVA
  167. 12.01: Introduction
  168. 12.02: Test of Two Variances
  169. 12.03: One-Way ANOVA
  170. 12.04: The F Distribution and the F-Ratio
  171. 12.05: Facts About the F Distribution
  172. 12.06: Key Terms
  173. 12.07: Chapter Review
  174. 12.08: Formula Review
  175. 12.09: Practice
  176. 12.10: Homework
  177. 12.11: References
  178. 12.12: Solutions
  179. 13: Linear Regression and Correlation
  180. 13.01: Introduction
  181. 13.02: The Correlation Coefficient r
  182. 13.03: Testing the Significance of the Correlation Coefficient
  183. 13.04: Linear Equations
  184. 13.05: The Regression Equation
  185. 13.06: Interpretation of Regression Coefficients- Elasticity and Logarithmic Transformation
  186. 13.07: Predicting with a Regression Equation
  187. 13.08: How to Use Microsoft Excel for Regression Analysis
  188. 13.09: Key Terms
  189. 13.10: Chapter Review
  190. 13.11: Practice
  191. 13.12: Solutions
  192. 14: Appendix
  193. 14.01: Appendix A Tables
  194. 14.02: Appendix F Mathematical Phrases Symbols and Formulas