In order to find critical values of Q in a table, one has to know ...

[renzo156]

In order to find critical values of Q in a table, one has to know which of these?
 
  a. degrees of freedom between
  b. the probability of a Type II error
  c. the power of the experiment
  d. the number of treatment levels or groups

Question 2

If the calculated F is greater than the critical value of F, the experimenter should conclude that _____.
 
  a. chance probably caused the difference between the group means
  b. none of the group means are significantly different from each other
  c. the treatment probably caused the differences in the group means
  d. multiple t tests would probably have been a better way to analyze the results

[Dunkey]

Answer to Question 1

D
Q is a statistic that indicates how far apart group means must be in order to be significantly different. The Q statistic is calculated for Tukey's HSD test. You must know alpha, k (the number of means to be compared or the number of groups), and the degrees of freedom associated with the denominator of the F ratio (degrees of freedom within groups).

Answer to Question 2

C
When the calculated F is greater than the critical F, the results are said to be significant, meaning it is unlikely that chance alone caused the differences between the groups and likely that the difference was caused by the treatment.

[renzo156]

Thanks for the timely response, appreciate it

[AmberC1996]

Great answer, keep it coming