Fundamentals of statistical reasoning in education /
Coladarci, Theodore,
Fundamentals of statistical reasoning in education / Theodore Coladarci [and others]. - Third edition. - xii, 468 pages : illustrations ; 24 cm + 1 computer disc (12 cm). - Wiley/Jossey-Bass education . - Wiley/Jossey-Bass education. .
Accompanied by: 1 computer disc (CD-ROM)
Includes bibliographical references and index.
1. Introduction -- 2. Frequency distribution -- 3. Graphic representation -- 4. Central tendency -- 5. Variability -- 6. Normal distributions and standard scores -- 7. Correlation -- 8. Regression and prediction -- 9. Probability and probability distributions -- 10. Sampling distributions -- 11. Testing statistical hypotheses about m when s is knowing: the one-sample z test -- 12. Estimation -- 13. Testing statistical hypotheses about m when s is not known: the one-sample t test -- 14. Comparing the means of two populations: independent samples -- 15. Comparing the means of dependent samples -- 16. Comparing the means of three or more independent samples: one-way analysis of variance -- 17. Inferences about the Pearson correlation coefficient -- 18. Making inferences from frequency data -- 19. Statistical "power" (and how to increase it) -- Epilogue: A note on (almost) assumption-free tests.
0470574798 9780470574799
2010026557
Educational statistics.
LB2846 / .F84 2011
370.21
Fundamentals of statistical reasoning in education / Theodore Coladarci [and others]. - Third edition. - xii, 468 pages : illustrations ; 24 cm + 1 computer disc (12 cm). - Wiley/Jossey-Bass education . - Wiley/Jossey-Bass education. .
Accompanied by: 1 computer disc (CD-ROM)
Includes bibliographical references and index.
1. Introduction -- 2. Frequency distribution -- 3. Graphic representation -- 4. Central tendency -- 5. Variability -- 6. Normal distributions and standard scores -- 7. Correlation -- 8. Regression and prediction -- 9. Probability and probability distributions -- 10. Sampling distributions -- 11. Testing statistical hypotheses about m when s is knowing: the one-sample z test -- 12. Estimation -- 13. Testing statistical hypotheses about m when s is not known: the one-sample t test -- 14. Comparing the means of two populations: independent samples -- 15. Comparing the means of dependent samples -- 16. Comparing the means of three or more independent samples: one-way analysis of variance -- 17. Inferences about the Pearson correlation coefficient -- 18. Making inferences from frequency data -- 19. Statistical "power" (and how to increase it) -- Epilogue: A note on (almost) assumption-free tests.
0470574798 9780470574799
2010026557
Educational statistics.
LB2846 / .F84 2011
370.21