Free download in PDF Anova Multiple Choice Questions and Answers for competitive exams. These short objective type questions with answers are very important for Board exams as well as competitive exams. These short solved questions or quizzes are provided by Gkseries.
1
Analysis of variance is a statistical method of comparing the of several populations.
Answer: is relatively small compared to the average treatment deviations
5
In a study, subjects are randomly assigned to one of three groups: control, experimental A, or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is:
7
Assume that there is no overlap between the box and whisker plots for three drug treatments where each drug was administered to 35 individuals. The box plots for these data:
A
represent evidence against the null hypothesis of ANOVA
B
provide no evidence for, or against, the null hypothesis of ANOVA
C
represent evidence for the null hypothesis of ANOVA
Answer: represent evidence against the null hypothesis of ANOVA
8
An investigator randomly assigns 30 college students into three equal size study groups (early- morning, afternoon, late-night) to determine if the period of the day at which people study has an effect on their retention. The students live in a controlled environment for one week, on the third day of the experimental treatment is administered (study of predetermined material). On the seventh day the investigator tests for retention. In computing his ANOVA table, he sees that his MS within groups is larger than his MS between groups. What does this result indicate?
A
An error in the calculations was made
B
There was more than the expected amount of variability between groups
C
There should have been additional controls in the experiment
D
There was more variability between subjects within the same group than there was between groups
Answer: Describe those groups that have reliable differences between group means
12
Assuming that the null hypothesis being tested by ANOVA is false, the probability of obtaining a F- ratio that exceeds the value reported in the F table as the 95th percentile is:
13
Assuming no bias, the total variation in a response variable is due to error (unexplained variation) plus differences due to treatments (known variation). If known variation is large compared to unexplained variation, which of the following conclusions is the best?
A
There is evidence for a difference in response due to treatments
B
The treatments are not comparable
C
There is significant evidence for a difference in response due to treatments
D
There is no evidence for a difference in response due to treatments
17
To determine whether the test statistic of ANOVA is statistically significant, it can be compared to a critical value. What two pieces of information are needed to determine the critical value?
