2011-Fall-Psych60-Final-StudyGuide

Independent samples t test estimation o o o o o be

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Unformatted text preview: stand what it shows o Know the differences between the t and z distributions o Understand the concept of degrees of freedom, and know how to calculate degrees of freedom for a t- test o Understand the concept of power Know what factors can influence the power for a test Know how to compute power for a z test o Understand what p- values tell us o Understand why the p- value is not the probability that the null hypothesis is true • Hypothesis Testing: Tests to know o Be able to perform a hypothesis test from raw data, or from summary statistics (for example, if I were to give you the mean and standard deviation of a sample, and μ for a population, be able to compute the correct hypothesis test) o Know how to perform a hypothesis test when σ and μ are known, z- test o Know how to perform a hypothesis test when σ is unknown but μ is known, one sample t- test o Know how to perform a hypothesis test when σ and μ are unknown, independent or dependent sample t- tests depending on study design o Know which tests are applicable for which experimental situations, especially when to use a dependent vs. independent samples t- test • Estimation o o o o o Be able to give point estimates for population parameters Be able to construct a confidence interval from raw data Be able to construct a confidence interval from summary statistics Be able to construct 80%, 90%, 95%, and 99% intervals Know the relationships between the width of a confidence interval and: The level of confidence The standard error The number of observations in the sample o Know the correct interpretation of a confidence interval; that is, what the interval represents • Chi Square tests o Be able to calculate the expected frequencies for both goodness of fit and test of independence chi squares o Understand what the expected frequencies represent for both goodness of fit and test...
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