Multiple Choice
Which reason below best answers why a two-tailed hypothesis should be used with an analysis of variance.
A) the probability levels for ANOVA do not easily divide by 2 as in other tests
B) the dependent variable in an ANOVA is nominal level
C) the normal distribution assumption is not used,so a one-tailed curve does not exist
D) it is too difficult to make predictions for multiple group comparisons in a single statement
Correct Answer:
Verified
Correct Answer:
Verified
Q10: If there are multiple violations of the
Q11: Multiple comparison tests compare only the highest
Q12: The concept of "error" is expressed in
Q13: A determination of which groups,if any,are significantly
Q14: ANOVA can accommodate multiple dependent variables.
Q16: If you are doing 20 two-at-a-time t-tests,you
Q17: The effect of an independent variable in
Q18: An independent variable with 6 values (groups)can
Q19: The analysis of variance is designed for
Q20: Only a one-tailed hypothesis should be used