Unformatted text preview: • Zscore for the distribution of sample means (meaning & interpretation) • How to use the normal distribution table to answer problems related to a sampling distribution • Steps & logic of hypothesis testing • Null & alternative hypothesis (how to state them & how to make a correct decision about them) • The meaning of the alpha level (i.e., statistical significance, critical region, how to find a critical zvalue) • Type I & Type II error in hypothesis testing • 1 & 2tailed tests in hypothesis testing • Cohen’s d= effect size (relationship between significance & effect size) • Statistical Power • How different (relevant) factors such as a sample size, population variance, standard error, size of the difference, significance level, one vs. twotailed test can affect the outcome of hypothesis testing...
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 Fall '08
 staff
 Normal Distribution, Standard Deviation, Hypothesis testing, Cohen, hypothesis testing null

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