Test Bank for Basic Statistics for the Behavioral Sciences, 7th Edition
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Description:
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. 1.
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Half Title
Title
Statement
Copyright
Dedication
Brief Contents
Contents
Preface to the Instructor
Ch 1: Introduction to Statistics
Getting Started
Introduction
Why is it Important to Learn Statistics (and how do I do that?)
Review of Mathematics Used in Statistics
Putting it all Together
Chapter Summary
Key Terms
Review Questions
Application Questions
Ch 2: Statistics and the Research Process
Getting Started
Introduction
The Logic of Research
Applying Descriptive and Inferential Statistics
Understanding Experiments and Correlational Studies
The Characteristics of Scores
Statistics in Published Research: Using Statistical Terms
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31.Putting it all Together 32.Chapter Summary 33.Key Terms 34.Review Questions 35.Application Questions 36.Ch 3: Frequency Distributions and Percentiles 37.Getting Started 38.Introduction 39.New Statistical Notation 40.Why is it Important to know about Frequency Distributions? 41.Simple Frequency Distributions 42.Types of Simple Frequency Distributions 43.Relative Frequency and the Normal Curve 44.Computing Cumulative Frequency and Percentile 45.Statistics in Published Research: Apa Publication Rules 46.A Word about Grouped Frequency Distributions 47.Putting it all Together 48.Chapter Summary 49.Key Terms 50.Review Questions 51.Application Questions 52.Integration Questions 53.Summary of Formulas 54.Ch 4: Measures of Central Tendency: The Mean, Median, and Mode 55.Getting Started 56.Introduction 57.New Statistical Notation 58.Why is it Important to know about Central Tendency 59.What is Central Tendency 60.The Mode 61.The Median 62.Transformations and the Mean 63.Deviations around the Mean 64.Describing the Population Mean 65.Summarizing Research 66.Statistics in Published Research: Using the Mean 67.Putting it all Together 68.Chapter Summary 69.Key Terms 70.Review Questions 71.Application Questions 72.Integration Questions 73.Summary of Formulas 74.Ch 5: Measures of Variability: Range, Variance, and Standard Deviation 75.Getting Started 76.Introduction
77.New Statistical Notation 78.Why is it Important to know about Measures of Variability? 79.Understanding the Variance and Standard Deviation 80.The Population Variance and the Population Standard Deviation 81.A Summary of the Variance and Standard Deviation 82.Computing Formulas for the Variance and Standard Deviation 83.Applying the Variance and Standard Deviation to Research 84.Statistics in Published Research: Reporting Variability 85.Putting it all Together 86.Chapter Summary 87.Key Terms 88.Review Questions 89.Application Questions 90.Integration Questions 91.Summary of Formulas 92.Ch 6: z-Scores and the Normal Curve 93.Getting Started 94.Introduction 95.New Statistical Notation 96.Why is it Important to know about z-Scores? 97.Understanding z-Scores 98.Interpreting z-Scores Using the z-Distribution 99.Using z-Scores to Compare Different Variables 100. Using z-Scores to Determine the Relative Frequency of Raw Scores 101. Statistics in Published Research: Using z-Scores 102. Using z-Scores to Describe Sample Means 103. Putting it all Together 104. Chapter Summary 105. Key Terms 106. Review Questions 107. Application Questions 108. Integration Questions 109. Summary of Formulas 110. Ch 7: The Correlation Coefficient 111. Getting Started 112. Introduction 113. New Statistical Notation 114. Why is it Important to know about Correlation Coefficients? 115. Understanding Correlational Research 116. Types of Relationships 117. Strength of the Relationship 118. The Pearson Correlation Coefficient 119. The Spearman Rank-Order Correlation Coefficient 120. The Restriction of Range Problem 121. Statistics in Published Research: Correlation Coefficients 122. Putting it all Together
123. Chapter Summary 124. Key Terms 125. Review Questions 126. Application Questions 127. Integration Questions 128. Summary of Formulas 129. Ch 8: Linear Regression 130. Getting Started 131. Introduction 132. New Statistical Notation 133. Why is it Important to know about Linear Regression? 134. Understanding Linear Regression 135. The Linear Regression Equation 136. The Standard Error of the Estimate 137. Computing the Proportion of Variance Accounted for 138. A Word About Multiple Correlation and Regression 139. Statistics in Published Research: Linear Regression 140. Putting it all Together 141. Chapter Summary 142. Key Terms 143. Review Questions 144. Application Questions 145. Integration Questions 146. Summary of Formulas 147. Halfway Review 148. Introduction 149. Ch 9: Using Probability to Make Decisions about Data 150. Getting Started 151. Introduction 152. New Statistical Notation 153. Why is it Important to know about Probability? 154. The Logic of Probability 155. Computing Probability 156. Obtaining Probability from the Standard Normal Curve 157. Random Sampling and Sampling Error 158. Deciding Whether a Sample Represents a Population 159. Putting it all Together 160. Chapter Summary 161. Key Terms 162. Review Questions 163. Application Questions 164. Integration Questions 165. Summary of Formulas 166. Ch 10: Introduction to Hypothesis Testing 167. Getting Started 168. Introduction
169. New Statistical Notation 170. Why is it Important to know about the z-Test? 171. The Role of Inferential Statistics in Research 172. Setting Up Inferential Procedures 173. Performing the z-Test 174. Interpreting Significant Results 175. Interpreting Nonsignificant Results 176. Summary of the z-Test 177. The One-Tailed Test 178. Errors in Statistical Decision Making 179. Statistics in Published Research: Reporting Significance Tests 180. Putting it all Together 181. Chapter Summary 182. Key Terms 183. Review Questions 184. Application Questions 185. Integration Questions 186. Summary of Formulas 187. Ch 11: Performing the One-Sample t-Test and Testing Correlation Coefficients 188. Getting Started 189. Introduction 190. Why is it Important to know about t-Tests? 191. Performing the One-Sample t-Test 192. Estimating µ by Computing a Confidence Interval 193. Statistics in Published Research: Reporting the t-Test 194. Significance Tests for Correlation Coefficients 195. Maximizing the Power of Statistical Tests 196. Putting it all Together 197. Chapter Summary 198. Key Terms 199. Review Questions 200. Application Questions 201. Integration Questions 202. Summary of Formulas 203. Ch 12: The Two-Sample t-Test 204. Getting Started 205. Introduction 206. New Statistical Notation 207. Why is it Important to know about the two-Sample t-Test? 208. Understanding the Two-Sample t-Test 209. The Independent-Samples t-Test 210. Summary of the Independent-Samples t-Test 211. The Related-Samples t-Test 212. Statistical Hypotheses for the Related-Samples t-Test 213. Summary of the Related-Samples t-Test
214. Describing the Relationship in a Two-Sample Experiment 215. Statistics in Published Research: The Two-Sample Experiment 216. Putting it all Together 217. Chapter Summary 218. Key Terms 219. Review Questions 220. Application Questions 221. Integration Questions 222. Summary of Formulas 223. Ch 13: The One-Way Analysis of Variance 224. Getting Started 225. Introduction 226. New Statistical Notation 227. Why is it Important to know about ANOVA? 228. An Overview of ANOVA 229. Understanding the ANOVA 230. Performing the ANOVA 231. Performing Post HOC Comparisons 232. Summary of Steps in Performing a One-Way ANOVA 233. Additional Procedures in the One-Way ANOVA 234. Statistics in Published Research: Reporting ANOVA 235. Putting it all Together 236. Chapter Summary 237. Key Terms 238. Review Questions 239. Application Questions 240. Integration Questions 241. Summary of Formulas 242. Ch 14: The Two-Way Analysis of Variance 243. Getting Started 244. Introduction 245. New Statistical Notation 246. Why is it Important to know about the Two-Way ANOVA? 247. Understanding the Two-Way Design 248. Overview of the Two-Way, Between-Subjects ANOVA 249. Computing the Two-Way ANOVA 250. Completing the Two-Way Experiment 251. Summary of the Steps in Performing a Two-Way ANOVA 252. Putting it All Together 253. Chapter Summary 254. Key Terms 255. Review Questions 256. Application Questions 257. Integration Questions 258. Summary of Formulas 259. Ch 15: Chi Square and Other Nonparametric Procedures
260. Getting Started 261. Introduction 262. Why is it Important to know about Nonparametric Procedures? 263. Chi Square Procedures 264. One-Way Chi Square 265. The Two-Way Chi Square 266. Statistics in Published Research: Reporting Chi Square 267. Nonparametric Procedures for Ranked Data 268. Putting it all Together 269. Chapter Summary 270. Key Terms 271. Review Questions 272. Application Questions 273. Integration Questions 274. Summary of Formulas 275. Second-Half Review 276. Introduction 277. A: Additional Statistical Formulas 278. B: Using SPSS 279. C: Statistical Tables 280. D: Answers to Odd-Numbered Questions 281. Glossary 282. Index 283. IBC1 284. IBC2 285. IBC3 286. IBC4 287. IBC5 288. IBC6
