JS 015 Lecture Notes - Lecture 11: Descriptive Statistics, Test Statistic, Null Hypothesis
Document Summary
Js 15 lecture 11 t tests 1. Conducting a z test in spss: not able to do this directly, social scientists don"t usually use z tests b. i. They use t tests instead: spss can help compute sample mean and standard error. One sample t test steps: make a guess or null hypothesis a. i. H0: actual sample mean = guessed population mean a. ii. H1: decide a-level (a = 0. 05) and nature of test (two-tailed vs. one-tailed, set critical t c. i. Depends on degrees of freedom: calculate descriptive statistics, calculate t test statistic e. i, compare t test statistic with critical t f. i. Depends on degrees of freedom: make a decision about null hypothesis g. i. Reject or fail to reject: alpha level and degrees of freedom are required. Degrees of freedom: degrees of freedom: value that approximates sample size of number of individual cells in experimental design (different for different statistical tests, example 1: