[{"onix":{"RecordReference":"9780521899222","NotificationType":"03","ProductIdentifier":{"ProductIDType":"15","IDValue":"9780521899222"},"DescriptiveDetail":{"ProductComposition":"00","ProductForm":"BZ","TitleDetail":{"TitleType":"01","TitleElement":{"TitleElementLevel":"01","TitleText":{"collationkey":"","content":"Statistics using SPSS : an integrative approach"}}},"Contributor":[{"SequenceNumber":"1","ContributorRole":["A01"],"PersonName":{"content":"Abramowitz, Sarah Knapp"}},{"SequenceNumber":"2","ContributorRole":["A01"],"PersonName":{"content":"Weinberg, Sharon L."}},{"SequenceNumber":"3","ContributorRole":["A01"],"PersonName":{"content":"Weinberg Sharon Lawner"}}],"Language":[{"LanguageRole":"01","LanguageCode":"jpn","CountryCode":"JP"}],"Audience":[{"AudienceCodeType":"22","AudienceCodeValue":"00"}]},"CollateralDetail":{"TextContent":[{"TextType":"03","ContentAudience":"00","Text":"This is an introductory applied statistics text that can be used for a one- or two-semester course at either the undergraduate or graduate level. Central features are its hands-on approach; the use of real data; the wealth of exercises and illustrated examples using these data; the complete set of detailed answers to exercises in an appendix; the presentation of statistical methods with a clear, conceptual emphasis that includes an historical account of each method; and the integration of SPSS in a way that reflects statistical practice. Step-by-step instructions for using SPSS are provided as each new analytic procedure is introduced. A data CD is included with the text so that students may conduct their own statistical analyses and learn firsthand how statistics is used in practice."},{"TextType":"04","ContentAudience":"00","Text":"1. Introduction\n 2. Examining univariate distributions\n 3. Measures of location, spread, and skewness\n 4. Re-expressing variables\n 5. Exploring relationships between two variables\n 6. Simple linear regression\n 7. Probability fundamentals\n 8. Theoretical probability models\n 9. The role of sampling in inferential statistics\n 10. Inferences involving the mean of a single population when o is known\n 11. Inferences involving the mean when o is not known: one and two sample designs\n 12. One-way analysis of variance\n 13. Two-way analysis of variance\n 14. Correlation and simple regression as inferential techniques\n 15. An introduction to multiple regression\n 16. Nonparametric methods\n Appendix A. Data set descriptions\n Appendix B. SPSS macro to generate a sampling distribution of means\n Appendix C. Statistical tables\n Appendix D. References\n Appendix E. Solutions to exercises."}]},"PublishingDetail":{"Imprint":{"ImprintName":"Cambridge University Press"},"Publisher":{"PublishingRole":"01","PublisherIdentifier":[{"PublisherIDType":"19","IDValue":"521"}],"PublisherName":""},"PublishingDate":[{"PublishingDateRole":"01","Date":""}]},"ProductSupply":{"MarketPublishingDetail":{"MarketPublishingStatus":"00","MarketPublishingStatusNote":"1;"},"SupplyDetail":{"ProductAvailability":"99"}}},"hanmoto":{"datecreated":"2018-01-15 19:13:12","dateshuppan":"2008","datemodified":"2018-01-15 19:13:12"},"summary":{"isbn":"9780521899222","title":"Statistics using SPSS : an integrative approach","volume":"","series":"","publisher":"Cambridge University Press","pubdate":"2008","cover":"","author":"Abramowitz,SarahKnapp／著 Weinberg,SharonL.／著 ほか"}}]