The T Test for Two Independent Samples

PSYC 5

Student Learning Outcomes

Unit 4: Chapter 12 & 13

Chapter 12:

The t Test for Two Independent Samples

·  You should know the characteristics of an independent samples design (i.e. how subjects are assigned to groups)

·  Be able to identify the statistical hypotheses for a one-tailed and two-tailed independent t-test

·  You should know the basic structure of the t formula (i.e. what is being examine in the numerator and denominator)

·  Be able to calculate df value for the independent t test

·  Be able to report the APA style results of an independent t Test

·  Be able to list the assumptions underlying the independent t test

The t Test for Two Related Samples (a.k.a. Dependent t Test)

·  You should know the characteristics of a related and matched-subjects design (i.e. how subjects are assigned to groups)

·  Be able to identify the statistical hypotheses for a one-tailed and two-tailed related samples t-test

·  You should know the basic structure of the t formula (i.e. what is being examine in the numerator and denominator)

·  Be able to calculate df value for the related samples (dependent) t test

·  Be able to report the APA style results of related samples (dependent) t Test

·  Be able to list the assumptions underlying the related samples (dependent) t test

Chapter 13:

Introduction to Analysis of Variance

·  You should be able to define factor and levels (know the statistical notations)

·  You should know the characteristics of the between-groups and within-groups measures designs (i.e. how subjects are assigned to groups)

·  Be able to identify the statistical hypotheses

·  You should know the basic structure of the F formula (i.e. what is being examine in the numerator and denominator)(sources of variance)

·  Be able to calculate df value (between-groups and within-groups)

·  Be able to report the results of an ANOVA

·  Be able to list the assumptions underlying the ANOVA

·  Be able to describe why an ANOVA is preferred to performing multiple t-tests (hint: experiment-wise error rate)

·  Should be able to complete the ANOVA summary table if given sum of squares for between-groups and within-groups

·  Should know when to use post hocs and which type to use (Tukey or Fishers)

In general please review the following: inferential statistics, sampling error, parametric statistics, levels of measurement