PSY 302 Lecture Notes - Lecture 23: Standard Deviation, Analysis Of Variance, Sampling Distribution
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302 notes: standard error- also known as the standard deviation of a sampling distribution, in multiple regression the first stat that is examined is r , h0: r =0. Indicates whether a group of predictors explain a statistically significant amount of a dependent variable/ Anova output tests null hypothesis-whether it is significant or not. Ex: in context of other predictors, bs (. 270) and gsr (. 076) do not emerge as statistically significant predictors of subjective pain. In context of other predictors, high pain is statistically related to higher eeg scores (0. 00), pfi (0. 00) 11/18 class notes: there is a t distribution for every sample size, one sample t test- compares the mean of a sample to a constant chosen by the researcher, h0:=xbar=c. This is accomplished by constructing a confidence interval around the difference between the sample mean and constant. To do in spss: analyze- compare means- one sample t test test value- # want tot test against.
