confidence intervals
alternative technique fordescribing effect size. absed on the reasonable assumption that M should be near m, it estimates m from sample M. a big confidence interval range means you are less likely to make an error. m = M+/- t(SEM). if the range does not include 0 Fthen it is significant and null can be rejected. more confidence desired increases interval width. larger sampleequals smaller interval