a. Variances.
b. Standard deviations.
c. Squared means.
d. Means.
2. While conducting a one-way ANOVA comparing five treatments with 10 observations per treatment, you compute SST = 42.41 and MSE = 6.34. What is the value of F?
a. 42.41
b. 1.67
c. 6.34
d. 6.69
e. 0.74
3. While conducting a one-way ANOVA comparing five treatments with 10 observations per treatment, you compute SST = 42.41 and MSE = 6.34. What are the degrees of freedom associated with F?
a. 5, 50
b. 5, 10
c. 4, 10
d. 4, 45
e. 10, 45
4. When we compare three treatments in a one-way ANOVA, the null hypothesis is, all three treatments have the same effect on the mean response. In …show more content…
At least two treatments are different from each other in terms of their effect on the mean response.
b. All three treatments have different effects on the mean response.
c. Exactly two of the three treatments have the same effect on the mean response.
d. All of the above.
5. Which of the following is a necessary assumption to conduct a one-way ANOVA comparing p population means?
a. All values of the response variable associated with the treatments have equal variances.
b. The population values of the response variable associated with the treatments all have normal distributions.
c. The samples of have been randomly selected and are independent samples.
d. All of the above.
6. While conducting a one-way ANOVA, the ______ the between-sample variability is when compared to the within-sample variability, the ________ the value of F will be tend to be:
a. smaller, larger
b. larger, smaller
c. Larger, larger
d. smaller, more random
e. larger, more …show more content…
Do not reject Ho because a mistake has been made.
9. How many degrees of freedom exist for the F test in a one-way ANOVA?
a. (n - c) and (c - 1).
b. (c - 1) and (n - c).
c. (c - n) and (n - 1).
d. (n - 1) and (c - n).
10. The one–way ANOVA is applicable to an experiment of between subjects design. Which statement is true?
a. The scores from the different treatment groups are uncorrelated
b. This type of ANOVA is more power–efficient than the within subjects ANOVA
c. The scores from the different treatment groups are correlated
d. The possibility of the presence of confounding variables is automatically removed by random assignment of participants to the treatment conditions
11. In the statistical model on which the one–way ANOVA is predicated, it is assumed that:
a. In the population, there is homogeneity of variance across treatment groups
b. There is always some basis for pairing the scores in any two groups
c. Participants under different conditions are tested by different experimenters
d. In the population, there is homogeneity of covariance or sphericity
12. In the one–way ANOVA:
a. The value of the total sum of squares reflects random or error variance