Elementary Statistics In Social Research Essentials 3rd Edition Levin Solutions Manual

Elementary Statistics In Social Research Essentials 3rd Edition Levin Solutions Manual

Product details:

• ISBN-10 ‏ : ‎ 0205638007
• ISBN-13 ‏ : ‎ 978-0205638000
• Author: Jack Levin, Ph.D. 

This text provides a streamlined and accessible introduction to statistics for students in sociology, criminal justice, political science, social work, and other social sciences.

This text offers an essential and accessible overview to the introduction to social statistics. Clearly written with detailed step-by-step illustrations of statistical procedures, this text provides clear and logical explanations for the rationale and use of statistical methods of social research. Numerous end-of-chapter questions in every chapter reinforce key concepts to students.

Table contents:

Why the Social Researcher Uses Statistics

1(22)

The Nature of Social Research

1(2)

Why Test Hypotheses?

3(1)

The Stages of Social Research

4(1)

Using Series of Numbers to Do Social Research

5(7)

The Functions of Statistics

12(6)

Summary

18(1)

Questions and Problems

18(3)

Looking at the Larger Picture: A Student Survey

21(2)

PART I Description

23(66)

Organizing the Data

25(33)

Frequency Distributions of Nominal Data

25(1)

Comparing Distributions

26(1)

Proportions and Percentages

26(2)

Simple Frequency Distributions of Ordinal and Interval Data

28(1)

Grouped Frequency Distributions of Interval Data

29(2)

Cumulative Distributions

31(2)

Dealing with Decimal Data

33(2)

Flexible Class Intervals

35(2)

Cross-Tabulations

37(6)

Graphic Presentations

43(7)

Summary

50(1)

Questions and Problems

51(7)

Measures of Central Tendency

58(14)

The Mode

58(1)

The Median

59(1)

The Mean

60(2)

Taking One Step at a Time

62(1)

Comparing the Mode, Median, and Mean

62(1)

Box 3.1 Step-by-Step Illustration: Mode, Median, and Mean

63(4)

Summary

67(1)

Questions and Problems

68(4)

Measures of Variability

72(17)

The Range

73(1)

The Variance and the Standard Deviation

74(1)

Step-by-Step Illustration: Standard Deviation

75(1)

The Raw-Score Formula for Variance and Standard Deviation

76(1)

Step-by-Step Illustration: Variance and Standard Deviation Using Raw Scores

77(1)

The Meaning of the Standard Deviation

78(3)

Comparing Measures of Variability

81(1)

Summary

82(1)

Questions and Problems

82(3)

Looking at the Larger Picture: Describing Data

85(4)

PART II From Description to Decision Making

89(60)

Probability and the Normal Curve

91(27)

Probability

92(1)

Probability Distributions

93(3)

The Normal Curve as a Probability Distribution

96(1)

Characteristics of the Normal Curve

97(1)

The Model and the Reality of the Normal Curve

97(2)

The Area under the Normal Curve

99(6)

Standard Scores and the Normal Curve

105(2)

Finding Probability under the Normal Curve

107(1)

Step-by-Step Illustration: Probability under the Normal Curve

108(5)

Step-by-Step Illustration: Finding Scores from Probability Based on the Normal Curve

113(1)

Summary

114(1)

Questions and Problems

114(4)

Samples and Populations

118(31)

Random Sampling

119(1)

Sampling Error

120(1)

Sampling Distribution of Means

121(7)

Standard Error of the Mean

128(1)

Confidence Intervals

129(4)

The t Distribution

133(5)

Step-by-Step Illustration: Confidence Interval Using t

138(2)

Estimating Proportions

140(1)

Step-by-Step Illustration: Confidence Interval for Proportions

141(1)

Summary

142(1)

Questions and Problems

143(3)

Looking at the Larger Picture: Generalizing from Samples to Populations

146(3)

PART III Decision Making

149(102)

Testing Differences between Means

151(40)

The Null Hypothesis: No Difference between Means

153(1)

The Research Hypothesis: A Difference between Means

154(1)

Sampling Distribution of Differences between Means

154(4)

Testing Hypotheses with the Distribution of Differences between Means

158(4)

Levels of Significance

162(4)

Standard Error of the Difference between Means

166(1)

Testing the Difference between Means

167(2)

Step-by-Step Illustration: Test of Difference between Means

169(2)

Comparing Dependent Samples

171(1)

Step-by-Step Illustration: Test of Difference between Means for Same Sample Measured Twice

172(3)

Step-by-Step Illustration: Test of Difference between Means for Matched Samples

175(2)

Two Sample Test of Proportions

177(1)

Step-by-Step Illustration: Test of Difference between Proportions

177(2)

Requirements for Testing the Difference between Means

179(1)

Summary

180(1)

Questions and Problems

181(10)

Analysis of Variance

191(24)

The Logic of Analysis of Variance

192(2)

The Sum of Squares

194(1)

A Research Illustration

195(5)

Mean Square

200(1)

The F Ratio

201(3)

Step-by-Step Illustration: Analysis of Variance

204(4)

Requirements for Using the F Ratio

208(1)

Summary

208(1)

Questions and Problems

209(6)

Nonparametric Tests of Significance

215(36)

One-Way Chi-Square Test

216(3)

Step-by-Step Illustration: One-Way Chi-Square

219(1)

Two-Way Chi-Square Test

220(6)

Two-Way Chi-Square Test of Significance

226(4)

Step-by-Step Illustration: Comparing Several Groups

230(6)

The Median Test

236(1)

Step-by-Step Illustration: Median Test

236(3)

Summary

239(1)

Questions and Problems

239(9)

Looking at the Larger Picture: Testing for Differences

248(3)

PART IV From Decision Making to Association

251(66)

Correlation

253(19)

Strength of Correlation

253(1)

Direction of Correlation

254(1)

Curvilinear Correlation

255(1)

The Correlation Coefficient

256(1)

Pearson’s Correlation Coefficient

257(6)

Step-by-Step Illustration: Pearson’s Correlation Coefficient

263(2)

Summary

265(1)

Questions and Problems

266(6)

Regression Analysis

272(18)

The Regression Model

273(5)

Interpreting the Regression Line

278(2)

Regression and Pearson’s Correlation

280(1)

Step-by-Step Illustration: Regression Analysis

281(2)

Summary

283(1)

Questions and Problems

283(7)

Nonparametric Measures of Correlation

290(27)

Spearman’s Rank-Order Correlation Coefficient

290(5)

Step-by-Step Illustration: Spearman’s Rank-Order Correlation Coefficient

295(3)

Goodman’s and Kruskal’s Gamma

298(1)

Step-by-Step Illustration: Goodman’s and Kruskal’s Gamma

299(3)

Correlation Coefficient for Nominal Data Arranged in a 2×2 Table

302(2)

Correlation Coefficients for Nominal Data in Larger than 2×2 Tables

304(3)

Summary

307(1)

Questions and Problems

307(8)

Looking at the Larger Picture: Measuring Association

315(2)

PART V Applying Statistics

317(32)

Choosing Statistical Procedures for Research Problems

319(30)

Research Situations

323(17)

Research Solutions

340(9)

APPENDIXES

349(28)

Appendix A Instructions for Using ABCalc

351(4)

Appendix B A Review of Some Fundamentals of Mathematics

355(5)

Appendix C Tables

360(12)

Appendix D List of Formulas

372(5)

Answers to Problems

377(6)

Index

383

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