A researcher was interested in evaluating an intervention th…

A researcher was interested in evaluating an intervention that would impact body mass. The researcher was also interested in evaluating if there were sex differences in body mass. The researcher recruited 10 males and 10 females for the study. For the 10 males, 5 males were randomly assigned to the intervention and 5 males were randomly assigned to a control condition. Similarly, for the 10 females, 5 females were randomly assigned to the intervention and 5 females were randomly assigned to a control condition. How many Main Effects are there in this design (statistically significant or not statistically significant)?

A researcher was interested in evaluating an intervention th…

A researcher was interested in evaluating an intervention that would impact body mass. The researcher was also interested in evaluating if there were sex differences in body mass. The researcher recruited 10 males and 10 females for the study. For the 10 males, 5 males were randomly assigned to the intervention and 5 males were randomly assigned to a control condition. Similarly, for the 10 females, 5 females were randomly assigned to the intervention and 5 females were randomly assigned to a control condition. The F in the table above is a ratio of Signal/Noise. What number in the table is a measure of “Noise”?

Extra Credit – No Penalty for Trying Suppose a researcher co…

Extra Credit – No Penalty for Trying Suppose a researcher compares 4 groups (Freshmen, Sophomores, Juniors, Seniors) on the average number of steps taken per day, and finds an overall significant F-ratio. What is the logic of using post hoc methods like the Tukey method or Bonferroni method in making pairwise comparisons (why are these special methods needed)?