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By making introductory statistics interesting through comparing data on today's student generation with their parents' generation, and asking students to consider how people change as they grow older, the book uses data on subjective beliefs (such as freedom of speech and abortion) as well objective characteristics (years of schooling, marital status) to teach basic statistics using SPSS.
Robert Szafran is Regents Professor of Sociology in the Department of Social and Cultural Analysis at Stephen F. Austin State University in Texas. A passionate believer in the ability of all college students to master and enjoy basic statistical analysis, he teaches courses in research methods and data analysis and also demography and labor force analysis. He has received both College and University Excellence in Teaching Awards. Past director of his university's First-Year Seminar Program and its Inter-disciplinary Linked Courses Program, he has also served as department chair. He received his PhD in Sociology at The University of Wisconsin at Madison.
About the AuthorPrefacePart 1. Getting StartedChapter 1. IntroductionChapter 2. Data SetsPart 2. Descriptive Statistics: Answering Questions About Your DataChapter 3. Frequency Tables and Univariate ChartsChapter 4. Central Tendency and DispersionChapter 5. Creating New VariablesChapter 6. Comparing Group MeansChapter 7. Crosstab TablesChapter 8. Nominal and Ordinal Measures of AssociationChapter 9. Pearson's Correlation and Bivariate RegressionChapter 10. Multiple RegressionPart 3. Inferential Statistics: Answering Questions About PopulationsChapter 11. Sampling Distributions and Normal DistributionsChapter 12. Hypothesis Testing and One-Sample t TestsChapter 13. Paired- and Independent-Samples t TestsChapter 14. Analysis of VarianceChapter 15. Chi-SquareChapter 16. Hypothesis Testing With Measures of Association and RegressionGlossaryIndex
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- ID: 9781412991322
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