Basic Statistics for the Behavioral Sciences 7th Edition Heiman Solutions Manual

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Product Details:

  • ISBN-10 ‏ : ‎ 1285054865
  • ISBN-13 ‏ : ‎ 978-1285054865
  • Author:  Gary Heiman

Packed with real-world illustrations and the latest data available, BASIC STATISTICS FOR THE BEHAVIORAL SCIENCES, 7e demystifies and fully explains statistics in a lively, reader-friendly format. The author’s clear, patiently crafted explanations with an occasional touch of humor, teach readers not only how to compute an answer but also why they should perform the procedure or what their answer reveals about the data. Offering a conceptual-intuitive approach, this popular book presents statistics within an understandable research context, deals directly and positively with potential weaknesses in mathematics, and introduces new terms and concepts in an integrated way.

 

Table of Content:

  1. Ch 1: Introduction to Statistics
  2. Getting Started
  3. Introduction
  4. Why is it Important to Learn Statistics (and how do I do that?)
  5. Review of Mathematics Used in Statistics
  6. Putting it all Together
  7. Chapter Summary
  8. Key Terms
  9. Review Questions
  10. Application Questions
  11. Ch 2: Statistics and the Research Process
  12. Getting Started
  13. Introduction
  14. The Logic of Research
  15. Applying Descriptive and Inferential Statistics
  16. Understanding Experiments and Correlational Studies
  17. The Characteristics of Scores
  18. Statistics in Published Research: Using Statistical Terms
  19. Putting it all Together
  20. Chapter Summary
  21. Key Terms
  22. Review Questions
  23. Application Questions
  24. Ch 3: Frequency Distributions and Percentiles
  25. Getting Started
  26. Introduction
  27. New Statistical Notation
  28. Why is it Important to know about Frequency Distributions?
  29. Simple Frequency Distributions
  30. Types of Simple Frequency Distributions
  31. Relative Frequency and the Normal Curve
  32. Computing Cumulative Frequency and Percentile
  33. Statistics in Published Research: Apa Publication Rules
  34. A Word about Grouped Frequency Distributions
  35. Putting it all Together
  36. Chapter Summary
  37. Key Terms
  38. Review Questions
  39. Application Questions
  40. Integration Questions
  41. Summary of Formulas
  42. Ch 4: Measures of Central Tendency: The Mean, Median, and Mode
  43. Getting Started
  44. Introduction
  45. New Statistical Notation
  46. Why is it Important to know about Central Tendency
  47. What is Central Tendency
  48. The Mode
  49. The Median
  50. Transformations and the Mean
  51. Deviations around the Mean
  52. Describing the Population Mean
  53. Summarizing Research
  54. Statistics in Published Research: Using the Mean
  55. Putting it all Together
  56. Chapter Summary
  57. Key Terms
  58. Review Questions
  59. Application Questions
  60. Integration Questions
  61. Summary of Formulas
  62. Ch 5: Measures of Variability: Range, Variance, and Standard Deviation
  63. Getting Started
  64. Introduction
  65. New Statistical Notation
  66. Why is it Important to know about Measures of Variability?
  67. Understanding the Variance and Standard Deviation
  68. The Population Variance and the Population Standard Deviation
  69. A Summary of the Variance and Standard Deviation
  70. Computing Formulas for the Variance and Standard Deviation
  71. Applying the Variance and Standard Deviation to Research
  72. Statistics in Published Research: Reporting Variability
  73. Putting it all Together
  74. Chapter Summary
  75. Key Terms
  76. Review Questions
  77. Application Questions
  78. Integration Questions
  79. Summary of Formulas
  80. Ch 6: z-Scores and the Normal Curve
  81. Getting Started
  82. Introduction
  83. New Statistical Notation
  84. Why is it Important to know about z-Scores?
  85. Understanding z-Scores
  86. Interpreting z-Scores Using the z-Distribution
  87. Using z-Scores to Compare Different Variables
  88. Using z-Scores to Determine the Relative Frequency of Raw Scores
  89. Statistics in Published Research: Using z-Scores
  90. Using z-Scores to Describe Sample Means
  91. Putting it all Together
  92. Chapter Summary
  93. Key Terms
  94. Review Questions
  95. Application Questions
  96. Integration Questions
  97. Summary of Formulas
  98. Ch 7: The Correlation Coefficient
  99. Getting Started
  100. Introduction
  101. New Statistical Notation
  102. Why is it Important to know about Correlation Coefficients?
  103. Understanding Correlational Research
  104. Types of Relationships
  105. Strength of the Relationship
  106. The Pearson Correlation Coefficient
  107. The Spearman Rank-Order Correlation Coefficient
  108. The Restriction of Range Problem
  109. Statistics in Published Research: Correlation Coefficients
  110. Putting it all Together
  111. Chapter Summary
  112. Key Terms
  113. Review Questions
  114. Application Questions
  115. Integration Questions
  116. Summary of Formulas
  117. Ch 8: Linear Regression
  118. Getting Started
  119. Introduction
  120. New Statistical Notation
  121. Why is it Important to know about Linear Regression?
  122. Understanding Linear Regression
  123. The Linear Regression Equation
  124. The Standard Error of the Estimate
  125. Computing the Proportion of Variance Accounted for
  126. A Word About Multiple Correlation and Regression
  127. Statistics in Published Research: Linear Regression
  128. Putting it all Together
  129. Chapter Summary
  130. Key Terms
  131. Review Questions
  132. Application Questions
  133. Integration Questions
  134. Summary of Formulas
  135. Halfway Review
  136. Introduction
  137. Ch 9: Using Probability to Make Decisions about Data
  138. Getting Started
  139. Introduction
  140. New Statistical Notation
  141. Why is it Important to know about Probability?
  142. The Logic of Probability
  143. Computing Probability
  144. Obtaining Probability from the Standard Normal Curve
  145. Random Sampling and Sampling Error
  146. Deciding Whether a Sample Represents a Population
  147. Putting it all Together
  148. Chapter Summary
  149. Key Terms
  150. Review Questions
  151. Application Questions
  152. Integration Questions
  153. Summary of Formulas
  154. Ch 10: Introduction to Hypothesis Testing
  155. Getting Started
  156. Introduction
  157. New Statistical Notation
  158. Why is it Important to know about the z-Test?
  159. The Role of Inferential Statistics in Research
  160. Setting Up Inferential Procedures
  161. Performing the z-Test
  162. Interpreting Significant Results
  163. Interpreting Nonsignificant Results
  164. Summary of the z-Test
  165. The One-Tailed Test
  166. Errors in Statistical Decision Making
  167. Statistics in Published Research: Reporting Significance Tests
  168. Putting it all Together
  169. Chapter Summary
  170. Key Terms
  171. Review Questions
  172. Application Questions
  173. Integration Questions
  174. Summary of Formulas
  175. Ch 11: Performing the One-Sample t-Test and Testing Correlation Coefficients
  176. Getting Started
  177. Introduction
  178. Why is it Important to know about t-Tests?
  179. Performing the One-Sample t-Test
  180. Estimating µ by Computing a Confidence Interval
  181. Statistics in Published Research: Reporting the t-Test
  182. Significance Tests for Correlation Coefficients
  183. Maximizing the Power of Statistical Tests
  184. Putting it all Together
  185. Chapter Summary
  186. Key Terms
  187. Review Questions
  188. Application Questions
  189. Integration Questions
  190. Summary of Formulas
  191. Ch 12: The Two-Sample t-Test
  192. Getting Started
  193. Introduction
  194. New Statistical Notation
  195. Why is it Important to know about the two-Sample t-Test?
  196. Understanding the Two-Sample t-Test
  197. The Independent-Samples t-Test
  198. Summary of the Independent-Samples t-Test
  199. The Related-Samples t-Test
  200. Statistical Hypotheses for the Related-Samples t-Test
  201. Summary of the Related-Samples t-Test
  202. Describing the Relationship in a Two-Sample Experiment
  203. Statistics in Published Research: The Two-Sample Experiment
  204. Putting it all Together
  205. Chapter Summary
  206. Key Terms
  207. Review Questions
  208. Application Questions
  209. Integration Questions
  210. Summary of Formulas
  211. Ch 13: The One-Way Analysis of Variance
  212. Getting Started
  213. Introduction
  214. New Statistical Notation
  215. Why is it Important to know about ANOVA?
  216. An Overview of ANOVA
  217. Understanding the ANOVA
  218. Performing the ANOVA
  219. Performing Post HOC Comparisons
  220. Summary of Steps in Performing a One-Way ANOVA
  221. Additional Procedures in the One-Way ANOVA
  222. Statistics in Published Research: Reporting ANOVA
  223. Putting it all Together
  224. Chapter Summary
  225. Key Terms
  226. Review Questions
  227. Application Questions
  228. Integration Questions
  229. Summary of Formulas
  230. Ch 14: The Two-Way Analysis of Variance
  231. Getting Started
  232. Introduction
  233. New Statistical Notation
  234. Why is it Important to know about the Two-Way ANOVA?
  235. Understanding the Two-Way Design
  236. Overview of the Two-Way, Between-Subjects ANOVA
  237. Computing the Two-Way ANOVA
  238. Completing the Two-Way Experiment
  239. Summary of the Steps in Performing a Two-Way ANOVA
  240. Putting it All Together
  241. Chapter Summary
  242. Key Terms
  243. Review Questions
  244. Application Questions
  245. Integration Questions
  246. Summary of Formulas
  247. Ch 15: Chi Square and Other Nonparametric Procedures
  248. Getting Started
  249. Introduction
  250. Why is it Important to know about Nonparametric Procedures?
  251. Chi Square Procedures
  252. One-Way Chi Square
  253. The Two-Way Chi Square
  254. Statistics in Published Research: Reporting Chi Square
  255. Nonparametric Procedures for Ranked Data
  256. Putting it all Together
  257. Chapter Summary
  258. Key Terms
  259. Review Questions
  260. Application Questions
  261. Integration Questions
  262. Summary of Formulas
  263. Second-Half Review
  264. Introduction
  265. A: Additional Statistical Formulas
  266. B: Using SPSS
  267. C: Statistical Tables
  268. D: Answers to Odd-Numbered Questions
  269. Glossary
  270. Index
  271. IBC1
  272. IBC2
  273. IBC3
  274. IBC4
  275. IBC5
  276. IBC6

 

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