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Solution Manual for Introductory Statistics 9th by Mann

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Solution Manual for Introductory Statistics 9th by Mann

Product details:

  • ISBN-10 ‏ : ‎ 1119296935
  • ISBN-13 ‏ : ‎ 978-1119296935
  • Author: Mann

Introductory Statistics, 9th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach.

Table contents:

 

  1. CHAPTER 1 Introduction
  2. 1.1 Statistics and Types of Statistics
  3. Case Study 1–1 2014 Lobbying Spending by Selected Companies
  4. Case Study 1–2 Americans Life Outlook, 2014
  5. 1.2 Basic Terms
  6. 1.3 Types of Variables
  7. 1.4 Cross-Section Versus Time-Series Data
  8. 1.5 Population Versus Sample
  9. 1.6 Design of Experiments
  10. 1.7 Summation Notation
  11. Uses and Misuses
  12. Glossary
  13. Supplementary Exercises
  14. Advanced Exercises
  15. Self-Review Test
  16. Technology Instructions
  17. Technology Assignments
  18. CHAPTER 2 Organizing and Graphing Data
  19. 2.1 Organizing and Graphing Qualitative Data
  20. Case Study 2–1 Ideological Composition of the U.S. Public, 2014
  21. Case Study 2–2 Millennials’ Views on Their Level of Day-to-Day Banking Knowledge
  22. 2.2 Organizing and Graphing Quantitative Data
  23. Case Study 2–3 Car Insurance Premiums per Year in 50 States
  24. Case Study 2–4 Hours Worked in a Typical Week by Full-Time U.S. Workers
  25. Case Study 2–5 How Many Cups of Coffee Do You Drink a Day?
  26. 2.3 Stem-and-Leaf Displays
  27. 2.4 Dotplots
  28. Uses and Misuses
  29. Glossary
  30. Supplementary Exercises
  31. Advanced Exercises
  32. Self-Review Test
  33. Technology Instructions
  34. Technology Assignments
  35. CHAPTER 3 Numerical Descriptive Measures
  36. 3.1 Measures of Center for Ungrouped Data
  37. Case Study 3–1 2013 Average Starting Salaries for Selected Majors
  38. Case Study 3–2 Education Level and 2014 Median Weekly Earnings
  39. 3.2 Measures of Dispersion for Ungrouped Data
  40. 3.3 Mean, Variance, and Standard Deviation for Grouped Data
  41. 3.4 Use of Standard Deviation
  42. Case Study 3–3 Does Spread Mean the Same as Variability and Dispersion?
  43. 3.5 Measures of Position
  44. 3.6 Box-and-Whisker Plot
  45. Uses and Misuses
  46. Glossary
  47. Supplementary Exercises
  48. Advanced Exercises
  49. Appendix 3.1
  50. Self-Review Test
  51. Technology Instructions
  52. Technology Assignments
  53. CHAPTER 4 Probability
  54. 4.1 Experiment, Outcome, and Sample Space
  55. 4.2 Calculating Probability
  56. 4.3 Marginal Probability, Conditional Probability, and Related Probability Concepts
  57. Case Study 4–1 Do You Worry About Your Weight?
  58. 4.4 Intersection of Events and the Multiplication Rule
  59. 4.5 Union of Events and the Addition Rule
  60. 4.6 Counting Rule, Factorials, Combinations, and Permutations
  61. Case Study 4–2 Probability of Winning a Mega Millions Lottery Jackpot
  62. Uses and Misuses
  63. Glossary
  64. Supplementary Exercises
  65. Advanced Exercises
  66. Self-Review Test
  67. Technology Instructions
  68. Technology Assignments
  69. CHAPTER 5 Discrete Random Variables and Their Probability Distributions
  70. 5.1 Random Variables
  71. 5.2 Probability Distribution of a Discrete Random Variable
  72. 5.3 Mean and Standard Deviation of a Discrete Random Variable
  73. Case Study 5–1 All State Lottery
  74. 5.4 The Binomial Probability Distribution
  75. 5.5 The Hypergeometric Probability Distribution
  76. 5.6 The Poisson Probability Distribution
  77. Case Study 5–2 Global Birth and Death Rates
  78. Uses and Misuses
  79. Glossary
  80. Supplementary Exercises
  81. Advanced Exercises
  82. Self-Review Test
  83. Technology Instructions
  84. Technology Assignments
  85. CHAPTER 6 Continuous Random Variables and the Normal Distribution
  86. 6.1 Continuous Probability Distribution and the Normal Probability Distribution
  87. Case Study 6–1 Distribution of Time Taken to Run a Road Race
  88. 6.2 Standardizing a Normal Distribution
  89. 6.3 Applications of the Normal Distribution
  90. 6.4 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known
  91. 6.5 The Normal Approximation to the Binomial Distribution
  92. Uses and Misuses
  93. Glossary
  94. Supplementary Exercises
  95. Advanced Exercises
  96. Appendix 6.1
  97. Self-Review Test
  98. Technology Instructions
  99. Technology Assignments
  100. CHAPTER 7 Sampling Distributions
  101. 7.1 Sampling Distribution, Sampling Error, and Nonsampling Errors
  102. 7.2 Mean and Standard Deviation of x
  103. 7.3 Shape of the Sampling Distribution of x
  104. 7.4 Applications of the Sampling Distribution of x
  105. 7.5 Population and Sample Proportions; and the Mean, Standard Deviation, and Shape of the Sampling D
  106. 7.6 Applications of the Sampling Distribution of p
  107. Uses and Misuses
  108. Glossary
  109. Supplementary Exercises
  110. Advanced Exercises
  111. Self-Review Test
  112. Technology Instructions
  113. Technology Assignments
  114. CHAPTER 8 Estimation of the Mean and Proportion
  115. 8.1 Estimation, Point Estimate, and Interval Estimate
  116. 8.2 Estimation of a Population Mean: σ Known
  117. Case Study 8–1 Annual Salaries of Registered Nurses, 2014
  118. 8.3 Estimation of a Population Mean: σ Not Known
  119. 8.4 Estimation of a Population Proportion: Large Samples
  120. Case Study 8–2 Americans’ Efforts to Lose Weight Still Trail Desires
  121. Uses and Misuses
  122. Glossary
  123. Supplementary Exercises
  124. Advanced Exercises
  125. Self-Review Test
  126. Technology Instructions
  127. Technology Assignments
  128. CHAPTER 9 Hypothesis Tests About the Mean and Proportion
  129. 9.1 Hypothesis Tests: An Introduction
  130. 9.2 Hypothesis Tests About µ: σ Known
  131. Case Study 9–1 Average Student Loan Debt for the Class of 2013
  132. 9.3 Hypothesis Tests About µ: σ Not Known
  133. 9.4 Hypothesis Tests About a Population Proportion: Large Samples
  134. Case Study 9–2 Are Upper-Income People Paying Their Fair Share in Federal Taxes?
  135. Uses and Misuses
  136. Glossary
  137. Supplementary Exercises
  138. Advanced Exercises
  139. Self-Review Test
  140. Technology Instructions
  141. Technology Assignments
  142. CHAPTER 10 Estimation and Hypothesis Testing: Two Populations
  143. 10.1 Inferences About the Difference Between Two Population Means for Independent Samples: σ1 and
  144. 10.2 Inferences About the Difference Between Two Population Means for Independent Samples: σ1 and
  145. 10.3 Inferences About the Difference Between Two Population Means for Independent Samples: σ1 and
  146. 10.4 Inferences About the Mean of Paired Samples (Dependent Samples)
  147. 10.5 Inferences About the Difference Between Two Population Proportions for Large and Independent Sa
  148. Uses and Misuses
  149. Glossary
  150. Supplementary Exercises
  151. Advanced Exercises
  152. Self-Review Test
  153. Technology Instructions
  154. Technology Assignments
  155. CHAPTER 11 Chi-Square Tests
  156. 11.1 The Chi-Square Distribution
  157. 11.2 A Goodness-of-Fit Test
  158. Case Study 11–1 Are People on Wall Street Honest and Moral?
  159. 11.3 A Test of Independence or Homogeneity
  160. 11.4 Inferences About the Population Variance
  161. Uses and Misuses
  162. Glossary
  163. Supplementary Exercises
  164. Advanced Exercises
  165. Self-Review Test
  166. Technology Instructions
  167. Technology Assignments
  168. CHAPTER 12 Analysis of Variance
  169. 12.1 The F Distribution
  170. 12.2 One-Way Analysis of Variance
  171. Uses and Misuses
  172. Glossary
  173. Supplementary Exercises
  174. Advanced Exercises
  175. Self-Review Test
  176. Technology Instructions
  177. Technology Assignments
  178. CHAPTER 13 Simple Linear Regression
  179. 13.1 Simple Linear Regression
  180. Case Study 13–1 Regression of Weights on Heights for NFL Players
  181. 13.2 Standard Deviation of Errors and Coefficient of Determination
  182. 13.3 Inferences About B
  183. 13.4 Linear Correlation
  184. 13.5 Regression Analysis: A Complete Example
  185. 13.6 Using the Regression Model
  186. Uses and Misuses
  187. Glossary
  188. Supplementary Exercises
  189. Advanced Exercises
  190. Self-Review Test
  191. Technology Instructions
  192. Technology Assignments
  193. APPENDIX A Explanation of Data Sets
  194. APPENDIX B Statistical Tables
  195. ANSWERS TO SELECTED ODD-NUMBERED EXERCISES AND SELF-REVIEW TESTS
  196. INDEX
  197. Key Formulas
  198. Standard Normal Distribution Table
  199. The t Distribution Table
  200. EULA

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