PNB 3RM3 Lecture Notes - Lecture 39: Null Hypothesis, Analysis Of Variance

• School: McMaster University
• Department: Psychology, Neuroscience & Behaviour
• Course: PNB 3RM3
• Professor: Ali Hashemi

Document Summary

One tailed test: where we reject the null hypothesis only if the t score for the sample is -extreme in one direction that we specify before collecting the data. Two tailed test: where we reject the null hypothesis if the t score for the sample is extreme in either direction. F-test: looks different than t test, very similar measurement, f-test is measuring same hypothesis as t test. To quantify relationships between two quantitiative variables, must transform data to z- scores. Person"s r" null hypothesis is assessed using a t-test where h0: r = 0, h1: r does not equal zero. The degrees of freedom is n-2 why: computing the means of two sets of variables, therefore you lose two degrees of freedom. Formula: n=number of data points you have (observations, zxy= pearson r correlation coefficient between x and y. Must transfer your raw data into z scores.