Statistics for people who (think they) hate statistics /
Salkind, Neil J.
Statistics for people who (think they) hate statistics / Neil J. Salkind. - 6th edition. - Los Angeles, etc. : SAGE, c2017. - xxix, 519 p. ; ill. b&w ; 26 cm.
Includes bibliographical references and index.
Pt. 1. Yippee! I'm in statistics --
Ch. 1. Statistics or sadistics? It's up to you --
Pt. 2. Zigma Freud and descriptive statistics --
Ch. 2. Means to an end: computing and understanding averages --
Ch. 3. Vive la difference : understanding variability --
Ch. 4. A picture really is worth a thousand words --
Ch. 5. Ice cream and crime: computing correlation coefficients --
Ch. 6. Just the truth: an introduction to understanding reliability and validity --
Pt. 3. Taking chances for fun and profit --
Ch. 7. Hypotheticals and you: testing your questions --
Ch. 8. Are your curves normal? Probability and why it counts --
Pt. 4. Significantly different: using inferential statistics --
Ch. 9. Significantly significant: what it means for you and me --
Ch. 10. Only the lonely: the one-sample Z-test --
Ch. 11. t(ea) for two: tests between the means of different groups --
Ch. 12. t(ea) for two (again): tests between the means of related groups --
Ch. 13. Two groups too many? Try analysis of variance --
Ch. 14. Two too many factors: factorial analysis of variance? A brief introduction --
Ch. 15. Cousins or just good friends? Testing relationships using the correlation coefficient --
Ch. 16. Predicting who'll win the super bowl: using linear regression --
Pt. 5. More statistics! More Tools! More fun! --
Ch. 17. What to do when you’re not normal: chi-square and some other nonparametric tests --
Ch. 18. Some other (important) statistical procedures you should know about --
Ch. 19. Data mining: an introduction to getting the most out of your BIG Data --
Ch. 20. A statistical software sampler --
Pt. 6. Ten things you’ll want to know and remember --
Ch. 21. The 10 (or more) best (and most fun) internet sites for statistics stuff --
Ch. 22. The 10 commandments of data collection --
Appendix A: SPSS in less than 30 minutes --
Appendix B: Tables --
Appendix C: Data sets --
Appendix D: Answers to practice questions --
Appendix E: Math: just the basics --
Appendix F: The reward: the brownie recipe --
Glossary.
The Sixth Edition of Neil J. Salkind's best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
9781506333830
Statistics
Statistics--Methods
519.5
Statistics for people who (think they) hate statistics / Neil J. Salkind. - 6th edition. - Los Angeles, etc. : SAGE, c2017. - xxix, 519 p. ; ill. b&w ; 26 cm.
Includes bibliographical references and index.
Pt. 1. Yippee! I'm in statistics --
Ch. 1. Statistics or sadistics? It's up to you --
Pt. 2. Zigma Freud and descriptive statistics --
Ch. 2. Means to an end: computing and understanding averages --
Ch. 3. Vive la difference : understanding variability --
Ch. 4. A picture really is worth a thousand words --
Ch. 5. Ice cream and crime: computing correlation coefficients --
Ch. 6. Just the truth: an introduction to understanding reliability and validity --
Pt. 3. Taking chances for fun and profit --
Ch. 7. Hypotheticals and you: testing your questions --
Ch. 8. Are your curves normal? Probability and why it counts --
Pt. 4. Significantly different: using inferential statistics --
Ch. 9. Significantly significant: what it means for you and me --
Ch. 10. Only the lonely: the one-sample Z-test --
Ch. 11. t(ea) for two: tests between the means of different groups --
Ch. 12. t(ea) for two (again): tests between the means of related groups --
Ch. 13. Two groups too many? Try analysis of variance --
Ch. 14. Two too many factors: factorial analysis of variance? A brief introduction --
Ch. 15. Cousins or just good friends? Testing relationships using the correlation coefficient --
Ch. 16. Predicting who'll win the super bowl: using linear regression --
Pt. 5. More statistics! More Tools! More fun! --
Ch. 17. What to do when you’re not normal: chi-square and some other nonparametric tests --
Ch. 18. Some other (important) statistical procedures you should know about --
Ch. 19. Data mining: an introduction to getting the most out of your BIG Data --
Ch. 20. A statistical software sampler --
Pt. 6. Ten things you’ll want to know and remember --
Ch. 21. The 10 (or more) best (and most fun) internet sites for statistics stuff --
Ch. 22. The 10 commandments of data collection --
Appendix A: SPSS in less than 30 minutes --
Appendix B: Tables --
Appendix C: Data sets --
Appendix D: Answers to practice questions --
Appendix E: Math: just the basics --
Appendix F: The reward: the brownie recipe --
Glossary.
The Sixth Edition of Neil J. Salkind's best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
9781506333830
Statistics
Statistics--Methods
519.5