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## APPS OF STATS IN PSYCHOL

by: Hermina Little

6

0

1

# APPS OF STATS IN PSYCHOL PSY 216

Marketplace > University of Kentucky > Psychlogy > PSY 216 > APPS OF STATS IN PSYCHOL
Hermina Little
UK
GPA 3.69

Staff

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COURSE
PROF.
Staff
TYPE
Class Notes
PAGES
1
WORDS
KARMA
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## Popular in Psychlogy

This 1 page Class Notes was uploaded by Hermina Little on Friday October 23, 2015. The Class Notes belongs to PSY 216 at University of Kentucky taught by Staff in Fall. Since its upload, it has received 6 views. For similar materials see /class/228251/psy-216-university-of-kentucky in Psychlogy at University of Kentucky.

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Date Created: 10/23/15
PSY 216 Application of Statistics in Psychology Spring 2012 Topics for Final Exam As usual all formulas will be provided Chapter 14 39 39 39 mumha Tte5t 1 Calculating independent samples ttests 2 How are Ho and HE different for two sample tests compared to single means 3 What is the sampling distribution of independent samples test What is its standard deviation 4 What are the statistical assumptions of independent samples ttests 5 What affects the power of an independent samples ttest Chapter 15 Dependent Samples Ttests 1 Be able to identify research designs that should use a dependent samples ttests 2 How does having dependent samples change our standard error term What effect does this have on power 3 What are the assumptions of a dependent samples ttest Chapter 17 Confidence Intervals 1 Construct confidence intervals CI s for 0 Single mean when olt is known 0 Single mean when ox is not known 0 Two sample means independent and dependent 2 Interpret the meaning of confidence intervals 3 Relationship between CI s and hypothesis tests 4 Criticisms of hypothesis tests and advantages of CI s Chapter 18 OneWav Analvsis ofVariance 1 Constructing hypotheses for ANOVA What do these hypotheses reveal about how ANOVA is different from two sample t tests 2 Calculating the components of the F Ratio szbelween and szwilhin 3 Completing an ANOVA summary table 4 Compute eta squared and omega squared 5 Factors that influence the power of ANOVA

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