PSYC 3000 Lecture Notes - Lecture 6: Chi-Squared Test, Sampling Distribution, Statistical Hypothesis Testing

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Bruce Hutcheon

Document Summary

Two errors on assignment 1: bar charts-instead of standard deviation it"s supposed to say. Lecture september 23rd (begin slide 6 hypothesis testing) Test of the mean (slide 9: anova, t-test (all tests, if the sample ends up being in the middle of the normal distribution0 it fails to reject null, step 1. Hypothesizing a mean for population: step 2. Then you look at a sample: step 3. Whether the mean figure is out in the tails and rejects hypothesis or in the middle of normal distribution. Test of variance - slide 14: variances cannot be negative because you calculate variance by a square, sampling distribution of variance isn"t a normal one and it"s called chi square test. There"s a variety of sampling distributions that we can have (skew, test of variance, test of mean . ) More than . 05- fail to reject null. P changes depending on sample but alpha is always the same.