Learning_goals_part2

Learning_goals_part2 - Psych 100A < Learning Goals for...

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Psych 100A < Learning Goals for Exam #2 > 1. Introduction to Statistical Hypothesis Testing: the z Test and the One-Sample t Test (Chapter 8 of Kiess) You should understand: What hypothesis testing is. You should be able to define what the “null” hypothesis is, what the alternative hypotheses are in a specific situation, and understand the general formula for the t or z test statistic is the statistic minus population parameter, divided by standard error of the sample statistic. What it means to say, “…was significant, p = 0.02”. That the p value (denoted as p) represents the probability of a statistic value as extreme or more extreme than the statistic observed. The difference between a directional and a non-directional test, and under what conditions each of them are appropriate. The difference between Type I and Type II errors in hypothesis testing. That power is the probability of supporting the alternative hypothesis when the alternative hypothesis is true. You should be able to identify the region
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This note was uploaded on 09/24/2010 for the course STATS 13a taught by Professor Chen during the Spring '10 term at UCLA.

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Learning_goals_part2 - Psych 100A &lt; Learning Goals for...

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