Psych 100A
< Learning Goals for Exam #2 >
1.
Introduction to Statistical Hypothesis Testing: the z Test
and the OneSample 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 nondirectional 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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 Spring '10
 Chen
 Statistics, Null hypothesis, Hypothesis testing, Statistical hypothesis testing, Kiess

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