PSYC 3525 Chapter Notes - Chapter 13: Normal Distribution, Teachme, Bias Of An Estimator
21 Mar 2013
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Three most popular statistical tests: t test, f test, and chi-square test. The hypothesis determines which statistical test is used t test-- used for comparing the means of two groups. Signal is represented by the difference between the two means. Noise is represented by the variability of the scores within the samples. The larger this ratio, them more likely it is that the null hypothesis will be rejected. The independent-sample t test tests statistical significance by examining the difference between two independent means (the signal) against the background of the within-group variability (the noise) How do i compute an independent-sample t test? t test for independent samples (i. e. , not repeated-measures designs) For an independent-samples t test with two groups, In order for a t test to be accurate, homogeneity of variance (the idea that the population variance of the groups being compared is assumed to be equal) must be met.
