Preliminary Edition of Statistics Learning from Data 1st Edition Roxy Peck Test Bank

Roll over image to zoom in
Click to open expanded view

$26.99$50.00 (-46%)

In stock

Preliminary Edition of Statistics Learning from Data 1st Edition Roxy Peck Test Bank.

Download sample

Categories: , Tags: , , ,

You may also like

This is completed downloadable of Preliminary Edition of Statistics Learning from Data 1st Edition Roxy Peck Test Bank

Product Details:

  • ISBN-10 ‏ : ‎ 1285049365
  • ISBN-13 ‏ : ‎ 978-1285049366
  • Author: Roxy Peck

STATISTICS: LEARNING FROM DATA, by respected and successful author Roxy Peck, resolves common problems faced by learners of elementary statistics with an innovative approach. Peck tackles the areas learners struggle with most–probability, hypothesis testing, and selecting an appropriate method of analysis–unlike any book on the market. Probability coverage is based on current research that shows how users best learn the subject. Two unique chapters, one on statistical inference and another on learning from experiment data, address two common areas of confusion: choosing a particular inference method and using inference methods with experimental data. Supported by learning objectives, real-data examples and exercises, and technology notes, this brand new book guides readers in gaining conceptual understanding, mechanical proficiency, and the ability to put knowledge into practice.

 

Table of Content:

  1. Section I: Collecting Data
  2. Ch 1: Collecting Data in Reasonable Ways
  3. Preview
  4. Chapter Learning Objectives
  5. Section 1.1: Statistical Studies: Observation and Experimentation
  6. Section 1.2: Collecting Data: Planning an Observational Study
  7. Section 1.3: Collecting Data-Planning an Experiment
  8. Section 1.4: The Importance of Random Selection and Random Assignment: What Types of Conclusions are
  9. Section 1.5: Avoid These Common Mistakes
  10. Chapter Activities
  11. Exploring the Big Ideas
  12. Are You Ready to Move On? Chapter 1 Review Exercises
  13. Section II: Describing Data Distributions
  14. Ch 2: Graphical Methods for Describing Data Distributions
  15. Preview
  16. Chapter Learning Objectives
  17. Preview Example: Love Those New Cars?
  18. Section 2.1: Selecting an Appropriate Graphical Display
  19. Section 2.2: Displaying Categorical Data: Bar Charts and Comparative Bar Charts
  20. Section 2.3: Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms
  21. Section 2.4: Displaying Bivariate Numerical Data: Scatterplots and Time Series Plots
  22. Section 2.5: Graphical Displays in the Media
  23. Section 2.6: Avoid These Common Mistakes
  24. Chapter Activities
  25. Exploring the Big Ideas
  26. Are You Ready to Move On? Chapter 2 Review Exercises
  27. Technology Notes
  28. Ch 3: Numerical Methods for Describing Data Distributions
  29. Preview
  30. Chapter Learning Objectives
  31. Preview Example: Brain Blood Volume and Marijuana Use
  32. Section 3.1: Selecting Appropriate Numerical Summaries
  33. Section 3.2: Describing Center and Spread for Data Distributions That are Approximately Symmetric
  34. Section 3.3: Describing Center and Spread for Data Distributions That are Skewed or Have Outliers
  35. Section 3.4: Summarizing a Data Set: Boxplots
  36. Section 3.5: Measures of Relative Standing: z-scores and Percentiles
  37. Section 3.6: Avoid These Common Mistakes
  38. Chapter Activities
  39. Exploring the Big Ideas
  40. Are You Ready to Move On? Chapter 3 Review Exercises
  41. Technology Notes
  42. Ch 4: Describing Bivariate Numerical Data
  43. Preview
  44. Chapter Learning Objectives
  45. Preview Example: Help for Crime Scene Investigators
  46. Section 4.1: Correlation
  47. Section 4.2: Linear Regression: Fitting a Line to Bivariate Data
  48. Section 4.3: Assessing the Fit of a Line
  49. Section 4.4: Describing Linear Relationships and Making Predictions-Putting It All Together
  50. Section 4.5: Avoid These Common Mistakes
  51. Chapter Activities
  52. Exploring the Big Ideas
  53. Are You Ready to Move On? Chapter 4 Review Exercises
  54. Technology Notes
  55. Section III: A Foundation for Inference: Reasoning about Probability
  56. Ch 5: Probability
  57. Preview
  58. Chapter Learning Objectives
  59. Preview Example: Should You Paint the Nursery Pink?
  60. Section 5.1: Interpreting Probabilities
  61. Section 5.2: Computing Probabilities
  62. Section 5.3: Probabilities of More Complex Events: Unions, Intersections, and Complements
  63. Section 5.4: Conditional Probability
  64. Section 5.5: Probability as a Basis for Making Decisions
  65. Section 5.6: Estimating Probabilities Empirically and Using Simulation (Optional)
  66. Chapter Activities
  67. Are You Ready to Move On? Chapter 5 Review Exercises
  68. Ch 6: Random Variables and Probability Distributions
  69. Preview
  70. Chapter Learning Objectives
  71. Preview Example: iPod Shuffles
  72. Section 6.1: Random Variables
  73. Section 6.2: Probability Distributions for Discrete Random Variables
  74. Section 6.3: Probability Distributions for Continuous Random Variables
  75. Section 6.4: Mean and Standard Deviation of a Random Variable
  76. Section 6.5: Normal Distributions
  77. Section 6.6: Checking for Normality
  78. Section 6.7: Binomial and Geometric Distributions (Optional)
  79. Section 6.8: Using the Normal Distribution to Approximate a Discrete Distribution (Optional)
  80. Chapter Activities
  81. Are You Ready to Move On? Chapter 6 Review Exercises
  82. Technology Notes
  83. Section IV: Learning from Sample Data
  84. Ch 7: An Overview of Statistical Inference-Learning from Data
  85. Preview
  86. Chapter Learning Objectives
  87. Preview Example: Deception in Online Dating Profiles
  88. Section 7.1: Statistical Inference-What You Can Learn from Data
  89. Section 7.2: Selecting an Appropriate Method-Four Key Questions
  90. Section 7.3: A Five-Step Process for Statistical Inference
  91. Chapter Activities
  92. Are You Ready to Move On? Chapter 7 Review Exercises
  93. Ch 8: Sampling Variability and Sampling Distributions
  94. Preview
  95. Chapter Learning Objectives
  96. Preview Example
  97. Section 8.1: Statistics and Sampling Variability
  98. Section 8.2: The Sampling Distribution of a Sample Proportion
  99. Section 8.3: How Sampling Distributions Support Learning from Data
  100. Chapter Activities
  101. Exploring the Big Ideas
  102. Are You Ready to Move On? Chapter 8 Review Exercises
  103. Ch 9: Estimating a Population Proportion
  104. Preview
  105. Chapter Learning Objectives
  106. Preview Example: Hurricane Evacuation
  107. Section 9.1: Selecting an Estimator
  108. Section 9.2: Estimating a Population Proportion-Margin of Error
  109. Section 9.3: A Large Sample Confidence Interval for a Population Proportion
  110. Section 9.4: Choosing a Sample Size to Achieve a Desired Margin of Error
  111. Section 9.5: Avoid These Common Mistakes
  112. Chapter Activities
  113. Exploring the Big Ideas
  114. Are You Ready to Move On? Chapter 9 Review Exercises
  115. Technology Notes
  116. Ch 10: Asking and Answering Questions about a Population Proportion
  117. Preview
  118. Chapter Learning Objectives
  119. Preview Example: Gender Neutral?
  120. Section 10.1: Hypotheses and Possible Conclusions
  121. Section 10.2: Potential Errors in Hypothesis Testing
  122. Section 10.3: The Logic of Hypothesis Testing-An Informal Example
  123. Section 10.4: A Procedure for Carrying Out a Hypothesis Test
  124. Section 10.5: Large-Sample Hypothesis Test for a Population Proportion
  125. Section 10.6: Avoid These Common Mistakes
  126. Chapter Activities
  127. Exploring the Big Ideas
  128. Are You Ready to Move On? Chapter 10 Review Exercises
  129. Technology Notes
  130. Ch 11: Asking and Answering Questions about the Difference between Two Population Proportions
  131. Preview
  132. Chapter Learning Objectives
  133. Preview Example: Cell-Phone Fundraising
  134. Section 11.1: Estimating the Difference between Two Population Proportions
  135. Section 11.2: Testing Hypotheses about the Difference between Two Population Proportions
  136. Section 11.3: Avoid These Common Mistakes
  137. Chapter Activities
  138. Exploring the Big Ideas
  139. Are You Ready to Move On? Chapter 11 Review Exercises
  140. Technology Notes
  141. Ch 12: Asking and Answering Questions about a Population Mean
  142. Preview
  143. Chapter Learning Objectives
  144. Preview Example: Drive-Through Medicine
  145. Section 12.1: The Sampling Distribution of the Sample Mean
  146. Section 12.2: A Confidence Interval for a Population Mean
  147. Section 12.3: Testing Hypotheses about a Population Mean
  148. Section 12.4: Avoid These Common Mistakes
  149. Chapter Activities
  150. Exploring the Big Ideas
  151. Are You Ready to Move On? Chapter 12 Review Exercises
  152. Technology Notes
  153. Ch 13: Asking and Answering Questions about the Difference between Two Population Means
  154. Preview
  155. Chapter Learning Objectives
  156. Preview Example: Depression and Chocolate
  157. Section 13.1: Testing Hypotheses about the Difference between Two Population Means Using Independent
  158. Section 13.2: Testing Hypotheses about the Difference between Two Population Means Using Paired Samp
  159. Section 13.3: Estimating the Difference between Two Population Means
  160. Section 13.4: Avoid These Common Mistakes
  161. Chapter Activities
  162. Exploring the Big Ideas
  163. Are You Ready to Move On? Chapter 13 Review Exercises
  164. Technology Notes
  165. Section V: Additional Opportunities to Learn from Data
  166. Ch 14: Learning from Experiment Data
  167. Preview
  168. Chapter Learning Objectives
  169. Preview Example: Injecting Cement to Ease Pain?
  170. Section 14.1: Variability and Random Assignment
  171. Section 14.2: Testing Hypotheses about Differences in Treatment Effects
  172. Section 14.3: Estimating the Difference in Treatment Effects
  173. Section 14.4: Avoid These Common Mistakes
  174. Chapter Activities
  175. Are You Ready to Move On? Chapter 14 Review Exercises
  176. Ch 15: Learning from Categorical Data
  177. Preview
  178. Chapter Learning Objectives
  179. Preview Example: Is a Baseball Game Really over by the Seventh Inning?
  180. Section 15.1: Chi-Square Tests for Univariate Categorical Data
  181. Section 15.2: Tests for Homogeneity and Independence in a Two-Way Table
  182. Section 15.3: Avoid These Common Mistakes
  183. Chapter Activities
  184. Are You Ready to Move On? Chapter 15 Review Exercises
  185. Technology Notes
  186. Appendix A: Statistical Tables
  187. Answers
  188. Index

 

People Also Search:

preliminary edition of statistics learning from data roxy peck

preliminary edition of statistics learning from data 1st edition roxy peck

preliminary edition of statistics learning from data

preliminary edition of statistics learning from data 1st edition download scribd

preliminary edition of statistics learning from data 1st edition testbank download pdf

preliminary edition of statistics learning from data 1st edition

Instant download after Payment is complete

Related products

Main Menu