Laurie Grahm Dodge
Dr. Laurie's Introduction to Statistical Methods (eBook, ePUB)
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Laurie Grahm Dodge
Dr. Laurie's Introduction to Statistical Methods (eBook, ePUB)
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First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.
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First Published in 2017. Routledge is an imprint of Taylor & Francis, an Informa company.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 309
- Erscheinungstermin: 13. September 2016
- Englisch
- ISBN-13: 9781351970501
- Artikelnr.: 45971014
- Verlag: Taylor & Francis
- Seitenzahl: 309
- Erscheinungstermin: 13. September 2016
- Englisch
- ISBN-13: 9781351970501
- Artikelnr.: 45971014
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Laurie Graham Dodge earned her Ph.D. in school psychology with cognates in statistics, research, and human development. Since 1987, she has taught at Chapman University, where she is chair of the psychology department. Statistics run in her family. Her father taught statistics at Temple University, and her three children (all of whom are in college) report that they love statistics (to humor her, perhaps). She and her husband live on the central coast of California with their ever-smiling golden retriever, Bear.
Introduction 1. To Know Statistics Is to Love Statistics 2. The Picture of
Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in
the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The
Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z
and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From
Here to There: Probability, Hypothesis Testing, and Sampling 10.
Correlation: Are We Related? 11. Relationships and Differences: Effect Size
and Practical Significance 12. Expected vs. Observed: Chi-Square 13.
Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea
and t for Two: t Test for Independent Groups 15. Another t Party: t Test
for Dependent Means 16. It's My Way or the Highway: Introduction to 17.
Putting the Pieces Together: An Introduction Meta-Analysis
Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in
the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The
Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z
and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From
Here to There: Probability, Hypothesis Testing, and Sampling 10.
Correlation: Are We Related? 11. Relationships and Differences: Effect Size
and Practical Significance 12. Expected vs. Observed: Chi-Square 13.
Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea
and t for Two: t Test for Independent Groups 15. Another t Party: t Test
for Dependent Means 16. It's My Way or the Highway: Introduction to 17.
Putting the Pieces Together: An Introduction Meta-Analysis
Introduction 1. To Know Statistics Is to Love Statistics 2. The Picture of
Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in
the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The
Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z
and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From
Here to There: Probability, Hypothesis Testing, and Sampling 10.
Correlation: Are We Related? 11. Relationships and Differences: Effect Size
and Practical Significance 12. Expected vs. Observed: Chi-Square 13.
Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea
and t for Two: t Test for Independent Groups 15. Another t Party: t Test
for Dependent Means 16. It's My Way or the Highway: Introduction to 17.
Putting the Pieces Together: An Introduction Meta-Analysis
Data 3. The Road to Mediocrity: The 3 Ms 4. Percentile Ranks: Where Am I in
the Pile? 5. Percentiles and Quartiles: Getting the Big Picture 6. The
Standard Deviation: How Deviant Am I? 7. Standard Scores: The Story of z
and Its Cousins 8. Bellville: Living in the Bell-Shaped Community 9. From
Here to There: Probability, Hypothesis Testing, and Sampling 10.
Correlation: Are We Related? 11. Relationships and Differences: Effect Size
and Practical Significance 12. Expected vs. Observed: Chi-Square 13.
Getting Ready for the t Party: Standard Error of the Mean 14. Two for Tea
and t for Two: t Test for Independent Groups 15. Another t Party: t Test
for Dependent Means 16. It's My Way or the Highway: Introduction to 17.
Putting the Pieces Together: An Introduction Meta-Analysis