PSY 293 Study Guide - Statistical Hypothesis Testing, Repeated Measures Design, Standard Deviation
Document Summary
What"s the difference between those and t tests? because, up until this point, these hypothesis tests have involved scores from a known population. Usually, when computing the variance of a random sample, the variance is partially smaller than the variance of the population. This is a biased estimate because it doesn"t leave room to be too high, only low: what is an unbiased estimate? s2, experimenters use unbiased estimates when performing t-tests. This means that the estimate is equally likely to be too high or too low. The degrees of freedom are the number of scores that are free to vary when figuring out the mean. It is the number you divide by to get the estimated population variance. It is the number of scores that are free to vary. Repeated measures design, or within subjects design, each participant has two scores on the variable being measured.
