Exam 3 Review

# Exam 3 Review - Hypothesis testing with z and t scores describe the logic of when we reject the null hypothesis What is the relationship between

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Hypothesis testing with z, and t scores - describe the logic of when we reject the null hypothesis What is the relationship between the observed statistic and critical statistic Describe the similarities and differences between the z and t sampling distributions - both benefit from the central limit theorem - both are bell shaped and symmetrical so we can complete one or two-tailed tests - both z and t have a mean of zero - the shape of the t sampling distribution is very sensitive to small sample sizes, so we need df to find regions of the curve (and scores) - be able to find critical t-scores on the table on page 671 - how does the variability change in a t-distribution as the sample size increases? What is a point estimate? - Describe the pros and cons relative to confidence intervals - Point estimates are a more specific estimation, but less likely to be exactly right - Confidence intervals are more general (range of scores), but more likely to include the best estimate of the population parameter Confidence intervals Be able to define and give examples of confidence intervals Describe what they are for? - We can be reasonable confident that the population mean falls within this range (with either 95% or

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## This note was uploaded on 04/27/2008 for the course PSYC 230 taught by Professor Delaney during the Spring '08 term at University of Arizona- Tucson.

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Exam 3 Review - Hypothesis testing with z and t scores describe the logic of when we reject the null hypothesis What is the relationship between

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