PSYC 60 Lecture Notes - Lecture 11: Sampling Distribution, Statistical Parameter, Null Hypothesis
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Probability and the sample means distribution another example: sat-scores ( =500,s=100). Review: standard error & n: the standard error tells us how much error, on average, should exist between a sample mean and the population mean, as the sample size n increases, the standard error decreases. Psyc 60 lecture 11/12 chapter 8 part 1: statistics is essential to evaluate research studies! Example: hypothesis testing: the basic logic of hypothesis testing: say the distribution on the previous slide represents memory scores. Four steps the 4 steps of hypothesis testing: state the hypothesis, set decision criteria, collect data and compute sample statistic, make a decision (fail to reject/reject) Step 1: state hypothesis: hypothesis is stated in terms of a population parameter (e. g. null hypothesis: no change in population parameter, treatment has no effect. H0: alternative (scientific) hypothesis: opposite of h0, treatment has an effect. H1 (directional or nondirectional: directional increase or decrease (one tailed, nondirectional it will change (two tailed)
