PSYCH 100A Study Guide - Final Guide: Null Hypothesis, Confidence Interval, Analysis Of Variance
Document Summary
One-sample t-test: used to compare the mean from a single sample to a hypothesized population value. Null hypothesis usually states that there is no difference, no change, etc. Alternate hypothesis: represent the range of values that reflect an effect, Independent samples t-test: change, relation, etc: used to compare two means from two samples; appropriate for between-group designs with two groups. Null hypothesis: predicts that all group means are identical in the population. Alternate hypothesis: at least one pair of means differ: anova uses variance estimates to quantify mean differences and sampling error. Meanwhile, a t-test for two groups computes a mean difference, and uses. Independent/explanatory variable on horizontal axis; outcome variable on vertical axis. Results are statistically significant at the p. 05: data is consistent / support the null hypothesis.
