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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 twotailed 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 tscores on the table on page 671
 how does the variability change in a tdistribution 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.
 Spring '08
 Delaney

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