Statistics for psychology / Arthur Aron, Elaine N. Aron & Elliot J. Coups.

By:

Aron Arthur

Material type: Text

TextPublication details: New Jersey. Pearson Prentice hall; 2006.Edition: 4th ed. 2006Description: 741 p . ; hardbound 20x26cmISBN:

0-13-193167-9

DDC classification:

23 150.727 ARO

Contents:

1. Displaying the order in a group of numbers 2. Central tendency and variability 3. Some key ingredients for inferential statistics Z scores, the normal curve, sample versus population and probability 4. Introduction to hypothesis testing 5. Hypothesis tests with means of samples 6. Making sense of statistical significance effect size and statistical power 7. Introduction to t tests: single sample and dependent means 8. The t test for independent means 9. Introduction to the analysis of variance 10. Factorial analysis of variance 11. Correlation 12. Prediction 13. Chi-square tests 14. Strategies when population distributions are not normal: Data transformations and rank-order tests 15. The general linear model and making sense of advanced statistical procedures in research articles

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Tetso College Library Psychology	Non-fiction	150.727 ARO (Browse shelf(Opens below))	Checked out to Nouzhienino Peseyie (177/FAC/PSY)	26/05/2025	9830

1. Displaying the order in a group of numbers
2. Central tendency and variability
3. Some key ingredients for inferential statistics Z scores, the normal curve, sample versus population and probability
4. Introduction to hypothesis testing
5. Hypothesis tests with means of samples
6. Making sense of statistical significance effect size and statistical power
7. Introduction to t tests: single sample and dependent means
8. The t test for independent means
9. Introduction to the analysis of variance
10. Factorial analysis of variance
11. Correlation
12. Prediction
13. Chi-square tests
14. Strategies when population distributions are not normal: Data transformations and rank-order tests
15. The general linear model and making sense of advanced statistical procedures in research articles

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