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Fundamentals of statistical reasoning in education / Theodore Coladarci [and others].

By: Material type: TextTextSeries: Wiley/Jossey-Bass educationPublisher: Hoboken, NJ : John Wiley & Sons, [2011]Copyright date: ©2011Edition: Third editionDescription: xii, 468 pages : illustrations ; 24 cm + 1 computer disc (12 cm)Content type:
  • text
  • computer dataset
Media type:
  • unmediated
  • computer
Carrier type:
  • volume
  • computer disc
ISBN:
  • 0470574798
  • 9780470574799
Subject(s): DDC classification:
  • 370.21 22
LOC classification:
  • LB2846 .F84 2011
Contents:
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.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book South Campus South Campus Main Collection 370.21 FUN (Browse shelf(Opens below)) 1 Available A504036B

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.

Machine converted from AACR2 source record.

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