Answer Happy

Please identify two INCORRECT statements from the following. Two answers are required. ⒸP value of <0.05 for an assumption test means the assumption is violated, whatever that assumption or requirement may be e.g. normality, equal variance etc. if 95% confidence interval for mean difference does not include zero we reject null and results are not only statistically significant but they are also always practically meaningful. Time series design, to see if observed trend after an intervention is different from an expected natural trend without the intervention, is considered a type of quasi-experimental design. Cohen's d is a measure of effect and tells us how far apart the two means are. Cohen's d is equally suitable in situations where we use Independent samples an also where Paired Samples t test is appropriate. If p value from any assumption test is >.05, it means the study findings could be due to random chance and results are not statistically significant. Before and after types of studies are not true experiments. We use 'average' standard deviation to calculate Cohen's d instead of 'Pooled' standard deviation as average SD is good approximation of pooled value but without all the complexity. (Heads up for the second/final written assessment). 0