PSYC 51a Lecture Notes - Lecture 7: Dependent And Independent Variables, Central Limit Theorem, Null Hypothesis
14 Feb 2017
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Document Summary
A hypothesis testing is a statistical method that uses sample data to evaluate a hypothesis about a population parameter (inferential statistics) Because it is often impossible to obtain measurements for an entire population, we rely on making inferences from samples of the population of interest. The distribution of means from different samples of the same population is referred to as the sampling distribution (hypothetical distribution) Parameter - a numerical description of the population. Statistic - a numerical description of the sample. You are comparing a sample mean to a population whose and are known. Sample mean comes from a sample with n>30. The distribution of the raw variable does not have to be normal. The sampling distribution will still be normal when we have sample size greater than 30 based on. This must be turned into a statistical hypothesis population! There is no difference between the populations. There is a difference between the populations.
