Witte and Witte’s Statistics witte 10th edition pdf free download continues the text’s goal of helping students overcome any fear of statistics. The tenth edition of STATISTICS: CONCEPTS & CONTEXTS continues to provide a approachable and up-to-date introduction to undergraduate statistics. The text has been updated and expanded to reflect developments in statistical applications and new pedagogical techniques that teach students to use statistics effectively in its applications.

The 10th edition of Statistics updated with MS Excel! Now includes an updated Excel lesson on the CD-ROM that walks you through building a distribution table using Data Analysis. Sample data files are now available online to accompany the book. Also available is the instructor’s notes package, which uses data sets found in this book, but includes responses to all of the problems included in the tables so they may be worked as homework problems.

1. Title Page
3. Dedication
4. Preface
5. Acknowledgments
6. Contents
7. 1 INTRODUCTION
8. 1.1 WHY STUDY STATISTICS?
9. 1.2 WHAT IS STATISTICS?
10. 1.3 MORE ABOUT INFERENTIAL STATISTICS
11. 1.4 THREE TYPES OF DATA
12. 1.5 LEVELS OF MEASUREMENT
13. 1.6 TYPES OF VARIABLES
14. 1.7 HOW TO USE THIS BOOK
15. Summary
16. Important Terms
17. Review Questions
18. PART 1 Descriptive Statistics: Organizing and Summarizing Data
19. 2 DESCRIBING DATA WITH TABLES AND GRAPHS
20. TABLES (FREQUENCY DISTRIBUTIONS)
21. 2.1 FREQUENCY DISTRIBUTIONS FOR QUANTITATIVE DATA
22. 2.2 GUIDELINES
23. 2.3 OUTLIERS
24. 2.4 RELATIVE FREQUENCY DISTRIBUTIONS
25. 2.5 CUMULATIVE FREQUENCY DISTRIBUTIONS
26. 2.6 FREQUENCY DISTRIBUTIONS FOR QUALITATIVE (NOMINAL) DATA
27. 2.7 INTERPRETING DISTRIBUTIONS CONSTRUCTED BY OTHERS
28. GRAPHS
29. 2.8 GRAPHS FOR QUANTITATIVE DATA
30. 2.9 TYPICAL SHAPES
31. 2.10 A GRAPH FOR QUALITATIVE (NOMINAL) DATA
33. 2.12 DOING IT YOURSELF
34. Summary
35. Important Terms
36. Review Questions
37. 3 DESCRIBING DATA WITH AVERAGES
38. 3.1 MODE
39. 3.2 MEDIAN
40. 3.3 MEAN
41. 3.4 WHICH AVERAGE?
42. 3.5 AVERAGES FOR QUALITATIVE AND RANKED DATA
43. Summary
44. Important Terms
45. Key Equation
46. Review Questions
47. 4 DESCRIBING VARIABILITY
48. 4.1 INTUITIVE APPROACH
49. 4.2 RANGE
50. 4.3 VARIANCE
51. 4.4 STANDARD DEVIATION
52. 4.5 DETAILS: STANDARD DEVIATION
53. 4.6 DEGREES OF FREEDOM (df )
54. 4.7 INTERQUARTILE RANGE (IQR)
55. 4.8 MEASURES OF VARIABILITY FOR QUALITATIVE AND RANKED DATA
56. Summary
57. Important Terms
58. Key Equations
59. Review Questions
60. 5 NORMAL DISTRIBUTIONS AND STANDARD (z ) SCORES
61. 5.1 THE NORMAL CURVE
62. 5.2 z SCORES
63. 5.3 STANDARD NORMAL CURVE
64. 5.4 SOLVING NORMAL CURVE PROBLEMS
65. 5.5 FINDING PROPORTIONS
66. 5.6 FINDING SCORES
67. 5.7 MORE ABOUT z SCORES
68. Summary
69. Important Terms
70. Key Equations
71. Review Questions
72. 6 DESCRIBING RELATIONSHIPS: CORRELATION
73. 6.1 AN INTUITIVE APPROACH
74. 6.2 SCATTERPLOTS
75. 6.3 A CORRELATION COEFFICIENT FOR QUANTITATIVE DATA: r
76. 6.4 DETAILS: COMPUTATION FORMULA FOR r
77. 6.5 OUTLIERS AGAIN
78. 6.6 OTHER TYPES OF CORRELATION COEFFICIENTS
79. 6.7 COMPUTER OUTPUT
80. Summary
81. Important Terms and Symbols
82. Key Equations
83. Review Questions
84. 7 REGRESSION
85. 7.1 TWO ROUGH PREDICTIONS
86. 7.2 A REGRESSION LINE
87. 7.3 LEAST SQUARES REGRESSION LINE
88. 7.4 STANDARD ERROR OF ESTIMATE, sy|x
89. 7.5 ASSUMPTIONS
90. 7.6 INTERPRETATION OF r 2
91. 7.7 MULTIPLE REGRESSION EQUATIONS
92. 7.8 REGRESSION TOWARD THE MEAN
93. Summary
94. Important Terms
95. Key Equations
96. Review Exercises
97. PART 2 Inferential Statistics: Generalizing Beyond Data
98. 8 POPULATIONS, SAMPLES, AND PROBABILITY
99. POPULATIONS AND SAMPLES
100. 8.1 POPULATIONS
101. 8.2 SAMPLES
102. 8.3 RANDOM SAMPLING
103. 8.4 TABLES OF RANDOM NUMBERS
104. 8.5 RANDOM ASSIGNMENT OF SUBJECTS
105. 8.6 SURVEYS OR EXPERIMENTS?
106. PROBABILITY
107. 8.7 DEFINITION
109. 8.9 MULTIPLICATION RULE
110. 8.10 PROBABILITY AND STATISTICS
111. Summary
112. Important Terms
113. Key Equations
114. Review Questions
115. 9 SAMPLING DISTRIBUTION OF THE MEAN
116. 9.1 WHAT IS A SAMPLING DISTRIBUTION?
117. 9.2 CREATING A SAMPLING DISTRIBUTION FROM SCRATCH
118. 9.3 SOME IMPORTANT SYMBOLS
119. 9.4 MEAN OF ALL SAMPLE MEANS (X )
120. 9.5 STANDARD ERROR OF THE MEAN (X )
121. 9.6 SHAPE OF THE SAMPLING DISTRIBUTION
122. 9.7 OTHER SAMPLING DISTRIBUTIONS
123. Summary
124. Important Terms
125. Key Equations
126. Review Questions
127. 10 INTRODUCTION TO HYPOTHESIS TESTING: THE Z TEST
128. 10.1 TESTING A HYPOTHESIS ABOUT SAT SCORES
129. 10.2 z TEST FOR A POPULATION MEAN
130. 10.3 STEP-BY-STEP PROCEDURE
131. 10.4 STATEMENT OF THE RESEARCH PROBLEM
132. 10.5 NULL HYPOTHESIS (H0)
133. 10.6 ALTERNATIVE HYPOTHESIS (H1)
134. 10.7 DECISION RULE
135. 10.8 CALCULATIONS
136. 10.9 DECISION
137. 10.10 INTERPRETATION
138. Summary
139. Important Terms
140. Key Equations
141. Review Questions
142. 11 MORE ABOUT HYPOTHESIS TESTING
143. 11.1 WHY HYPOTHESIS TESTS?
144. 11.2 STRONG OR WEAK DECISIONS
145. 11.3 ONE-TAILED AND TWO-TAILED TESTS
146. 11.4 CHOOSING A LEVEL OF SIGNIFICANCE (a)
147. 11.5 TESTING A HYPOTHESIS ABOUT VITAMIN C
148. 11.6 FOUR POSSIBLE OUTCOMES
149. 11.7 IF H0 REALLY IS TRUE
150. 11.8 IF H0 REALLY IS FALSE BECAUSE OF A LARGE EFFECT
151. 11.9 IF H0 REALLY IS FALSE BECAUSE OF A SMALL EFFECT
152. 11.10 INFLUENCE OF SAMPLE SIZE
153. 11.11 POWER AND SAMPLE SIZE
154. Summary
155. Important Terms
156. Review Questions
157. 12 ESTIMATION (CONFIDENCE INTERVALS)
158. 12.1 POINT ESTIMATE FOR
159. 12.2 CONFIDENCE INTERVAL (CI) FOR
160. 12.3 INTERPRETATION OF A CONFIDENCE INTERVAL
161. 12.4 LEVEL OF CONFIDENCE
162. 12.5 EFFECT OF SAMPLE SIZE
163. 12.6 HYPOTHESIS TESTS OR CONFIDENCE INTERVALS?
164. 12.7 CONFIDENCE INTERVAL FOR POPULATION PERCENT
165. Summary
166. Important Terms
167. Key Equation
168. Review Questions
169. 13 t TEST FOR ONE SAMPLE
170. 13.1 GAS MILEAGE INVESTIGATION
171. 13.2 SAMPLING DISTRIBUTION OF t
172. 13.3 t TEST
173. 13.4 COMMON THEME OF HYPOTHESIS TESTS
174. 13.5 REMINDER ABOUT DEGREES OF FREEDOM
175. 13.6 DETAILS: ESTIMATING THE STANDARD ERROR (s-X)
176. 13.7 DETAILS: CALCULATIONS FOR THE t TEST
177. 13.8 CONFIDENCE INTERVALS FOR m BASED ON t
178. 13.9 ASSUMPTIONS
179. Summary
180. Important Terms
181. Key Equations
182. Review Questions
183. 14 t TEST FOR TWO INDEPENDENT SAMPLES
184. 14.1 EPO EXPERIMENT
185. 14.2 STATISTICAL HYPOTHESES
186. 14.3 SAMPLING DISTRIBUTION OF X1- X2
187. 14.4 t TEST
188. 14.5 DETAILS: CALCULATIONS FOR THE t TEST
189. 14.6 p-VALUES
190. 14.7 STATISTICALLY SIGNIFICANT RESULTS
191. 14.8 ESTIMATING EFFECT SIZE: POINT ESTIMATES AND CONFIDENCE INTERVALS
192. 14.9 ESTIMATING EFFECT SIZE: COHEN’S d
193. 14.10 META-ANALYSIS
194. 14.11 REPORTS IN THE LITERATURE
195. 14.12 ASSUMPTIONS
196. 14.13 COMPUTER OUTPUT
197. Summary
198. Important Terms
199. Key Equations
200. Review Questions
201. 15 t TEST FOR TWO RELATED SAMPLES (REPEATED MEASURES)
202. 15.1 EPO EXPERIMENT WITH REPEATED MEASURES
203. 15.2 STATISTICAL HYPOTHESES
204. 15.3 SAMPLING DISTRIBUTION OF D
205. 15.4 t TEST
206. 15.5 DETAILS: CALCULATIONS FOR THE t TEST
207. 15.6 ESTIMATING EFFECT SIZE
208. 15.7 ASSUMPTIONS
209. 15.8 OVERVIEW: THREE t TESTS FOR POPULATION MEANS
210. 15.9 t TEST FOR THE POPULATION CORRELATION COEFFICIENT, r
211. Summary
212. Important Terms
213. Key Equations
214. Review Questions
215. 16 ANALYSIS OF VARIANCE (ONE FACTOR)
216. 16.1 TESTING A HYPOTHESIS ABOUT SLEEP DEPRIVATION AND AGGRESSION
217. 16.2 TWO SOURCES OF VARIABILITY
218. 16.3 F TEST
219. 16.4 DETAILS: VARIANCE ESTIMATES
220. 16.5 DETAILS: MEAN SQUARES (MS) AND THE F RATIO
221. 16.6 TABLE FOR THE F DISTRIBUTION
222. 16.7 ANOVA SUMMARY TABLES
223. 16.8 F TEST IS NONDIRECTIONAL
224. 16.9 ESTIMATING EFFECT SIZE
225. 16.10 MULTIPLE COMPARISONS
226. 16.11 OVERVIEW: FLOW CHART FOR ANOVA
227. 16.12 REPORTS IN THE LITERATURE
228. 16.13 ASSUMPTIONS
229. 16.14 COMPUTER OUTPUT
230. Summary
231. Important Terms
232. Key Equations
233. Review Questions
234. 17 ANALYSIS OF VARIANCE (REPEATED MEASURES)
235. 17.1 SLEEP DEPRIVATION EXPERIMENT WITH REPEATED MEASURES
236. 17.2 F TEST
237. 17.3 TWO COMPLICATIONS
238. 17.4 DETAILS: VARIANCE ESTIMATES
239. 17.5 DETAILS: MEAN SQUARE (MS) AND THE F RATIO
240. 17.6 TABLE FOR F DISTRIBUTION
241. 17.7 ANOVA SUMMARY TABLES
242. 17.8 ESTIMATING EFFECT SIZE
243. 17.9 MULTIPLE COMPARISONS
244. 17.10 REPORTS IN THE LITERATURE
245. 17.11 ASSUMPTIONS
246. Summary
247. Important Terms
248. Key Equations
249. Review Questions
250. 18 ANALYSIS OF VARIANCE (TWO FACTORS)
251. 18.1 A TWO-FACTOR EXPERIMENT: RESPONSIBILITY IN CROWDS
252. 18.2 THREE F TESTS
253. 18.3 INTERACTION
254. 18.4 DETAILS: VARIANCE ESTIMATES
255. 18.5 DETAILS: MEAN SQUARES (MS) AND F RATIOS
256. 18.6 TABLE FOR THE F DISTRIBUTION
257. 18.7 ESTIMATING EFFECT SIZE
258. 18.8 MULTIPLE COMPARISONS
259. 18.9 SIMPLE EFFECTS
260. 18.10 OVERVIEW: FLOW CHART FOR TWO-FACTOR ANOVA
261. 18.11 REPORTS IN THE LITERATURE
262. 18.12 ASSUMPTIONS
263. 18.13 OTHER TYPES OF ANOVA
264. Summary
265. Important Terms
266. Key Equations
267. Review Questions
268. 19 CHI-SQUARE (X2) TEST FOR QUALITATIVE (NOMINAL) DATA
269. ONE-VARIABLE X2 TEST
270. 19.1 SURVEY OF BLOOD TYPES
271. 19.2 STATISTICAL HYPOTHESES
272. 19.3 DETAILS: CALCULATING X2
273. 19.4 TABLE FOR THE X2 DISTRIBUTION
274. 19.5 X2 TEST
275. TWO-VARIABLE X2 TEST
276. 19.6 LOST LETTER STUDY
277. 19.7 STATISTICAL HYPOTHESES
278. 19.8 DETAILS: CALCULATING X2
279. 19.9 TABLE FOR THE X2 DISTRIBUTION
280. 19.10 X2 TEST
281. 19.11 ESTIMATING EFFECT SIZE
282. 19.12 ODDS RATIOS
283. 19.13 REPORTS IN THE LITERATURE
284. 19.14 SOME PRECAUTIONS
285. 19.15 COMPUTER OUTPUT
286. Summary
287. Important Terms
288. Key Equations
289. Review Questions
290. 20 TESTS FOR RANKED (ORDINAL) DATA
291. 20.1 USE ONLY WHEN APPROPRIATE
292. 20.2 A NOTE ON TERMINOLOGY
293. 20.3 MANN-WHITNEY U TEST (TWO INDEPENDENT SAMPLES)
294. 20.4 WILCOXON T TEST (TWO RELATED SAMPLES)
295. 20.5 KRUSKAL-WALLIS H TEST (THREE OR MORE INDEPENDENT SAMPLES)
296. 20.6 GENERAL COMMENT: TIES
297. Summary
298. Important Terms
299. Review Questions
300. 21 POSTSCRIPT: WHICH TEST?
301. 21.1 DESCRIPTIVE OR INFERENTIAL STATISTICS?
302. 21.2 HYPOTHESIS TESTS OR CONFIDENCE INTERVALS?
303. 21.3 QUANTITATIVE OR QUALITATIVE DATA?
304. 21.4 DISTINGUISHING BETWEEN THE TWO TYPES OF DATA
305. 21.5 ONE, TWO, OR MORE GROUPS?