2011-Fall-Psych60-Final-StudyGuide

Be normal o understand how the shape of the

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Unformatted text preview: to where a certain proportion of a distribution is beyond that score o Know the basic definition of probability • Distribution of sample means o Understand what the distribution of sample means represents o Be able to locate the z- score for a particular sample mean in the distribution of sample means o Be able to calculate the standard deviation for the distribution of sample means for populations, and from sample data o Understand the difference between the standard error and the estimated standard error o Understand when the distribution of sample means will be normal o Understand how the shape of the distribution of sample means changes with sample size o Understand why it is important for the distribution of sample means to be normal o Understand what the central limit theorem tells us tells us about sampling distributions • Hypothesis testing in general o Understand the basic logic of a hypothesis test Understand what critical regions are in a hypothesis test Understand what alpha is o Be able to perform hypothesis tests at alphas other than .05; what changes? o Be able to use the z and t tables (will be provided) o Know what changes in a one- tailed hypothesis test o Know some of the issues with using a one- tailed hypothesis test o Know how to correctly interpret the result of a hypothesis test o Know what a Type I error is Understand why the probability of a false alarm is alpha ONLY when the null hypothesis is true o Know what a Type II error is Understand why the probability of a miss is beta ONLY when the alternative hypothesis is true o Know why we never “accept” the null hypothesis o Know the difference between statistical significance and practical significance o Be able to calculate Cohen’s d, and under...
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This note was uploaded on 02/17/2013 for the course PSYC 60 taught by Professor Ard during the Fall '08 term at UCSD.

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