Please help with the following practice questions: Question 1 F can never be negative. a. True. b. False. Question 2 If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. a. True. b. False. Question 3 One drawback of ANOVA is that it allows type 1 error to escalate for every additional group tested. Answer a. True. b. False. Question 4 The sum of within-groups variance and between-group variance is the total variance. a. True. b. False. Question 5 An ANOVA with one independent variable but four groups is known as a one-way ANOVA. a. True. b. False. Question 6 In ANOVA, where should you look for the treatment effect? a. In the within-group variance. b. In the between-group variance. c. In the total variance. d. Within a single individual\'s score. Question 7 When the null hypothesis is true, the calculated F should be close to a. 0. b. 1. c. Infinity. d. There is not enough information to tell. Question 8 The appropriate statistic to use when testing the hypothesis for a study with three treatment groups is a a. One-sample t test. b. Two-sample t test. c. ANOVA F test. d. Either b or c is appropriate. Question 9 The Tukey HSD is the a. Smallest amount by which any two means must differ in order to be statistically significant. b. Smallest amount by which any two means actually do differ. c. Largest amount by which any two means actually do differ. d. Largest amount by which any two means can possibly differ. Question 10 When and why would you conduct post hoc tests as a follow up to the overall F test? a. When the overall F test is NOT significant; to determine which of the pairs of groups may be significant. b. When the overall F test is NOT significant; to determine why the overall F test is not significant. c. When the overall F test is significant; to determine between which pairs of groups the significant difference lies. d. When the overall F test IS significant; to determine if the significance is only the result of chance. Please help with the following practice questions: Question 1 F can never be negative. a. True. b. False. F can never be negative. a. True. b. False. F can never be negative. a. True. b. False. F can never be negative. F can never be negative. True. False. Question 2 If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. a. True. b. False. If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. a. True. b. False. If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. a. True. b. False. If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward the significant F. True. False. Question 3 One drawback of ANOVA is that it al.

1. Please help with the following practice questions:
Question 1
F can never be negative. a.
True. b.
False.
Question 2
If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F. a.
True. b.
False.
Question 3
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested. Answer a.
True. b.
False.

2. Question 4
The sum of within-groups variance and between-group variance is the total variance. a.
True. b.
False.
Question 5
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.
a.
True. b.
False.
Question 6
In ANOVA, where should you look for the treatment effect? a.
In the within-group variance. b.
In the between-group variance. c.
In the total variance. d.
Within a single individual's score.
Question 7
When the null hypothesis is true, the calculated F should be close to a.
0. b.

3. 1. c.
Infinity. d.
There is not enough information to tell.
Question 8
The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a a.
One-sample t test. b.
Two-sample t test. c.
ANOVA F test. d.
Either b or c is appropriate.
Question 9
The Tukey HSD is the a.
Smallest amount by which any two means must differ in order to be statistically significant.
b.
Smallest amount by which any two means actually do differ. c.
Largest amount by which any two means actually do differ. d.
Largest amount by which any two means can possibly differ.
Question 10
When and why would you conduct post hoc tests as a follow up to the overall F test? a.
When the overall F test is NOT significant; to determine which of the pairs of groups may be
significant. b.
When the overall F test is NOT significant; to determine why the overall F test is not significant.

4. c.
When the overall F test is significant; to determine between which pairs of groups the significant
difference lies. d.
When the overall F test IS significant; to determine if the significance is only the result of
chance.
Please help with the following practice questions:
Question 1
F can never be negative. a.
True. b.
False.
F can never be negative. a.
True. b.
False.
F can never be negative. a.
True. b.
False.
F can never be negative.
F can never be negative.
True.
False.
Question 2

5. If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F. a.
True. b.
False.
If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F. a.
True. b.
False.
If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F. a.
True. b.
False.
If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F.
If the HSD is 22, a paired mean difference of 23 would indicate that that pair contributed toward
the significant F.
True.
False.
Question 3
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested. Answer a.
True. b.

6. False.
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested. Answer a.
True. b.
False.
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested. Answer a.
True. b.
False.
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested.
One drawback of ANOVA is that it allows type 1 error to escalate for every additional group
tested.
True.
False.
Question 4
The sum of within-groups variance and between-group variance is the total variance. a.
True. b.
False.
The sum of within-groups variance and between-group variance is the total variance. a.
True. b.
False.

7. The sum of within-groups variance and between-group variance is the total variance. a.
True. b.
False.
The sum of within-groups variance and between-group variance is the total variance.
The sum of within-groups variance and between-group variance is the total variance.
True.
False.
Question 5
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.
a.
True. b.
False.
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.
a.
True. b.
False.
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.
a.
True. b.
False.
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.
An ANOVA with one independent variable but four groups is known as a one-way ANOVA.

8. True.
False.
Question 6
In ANOVA, where should you look for the treatment effect? a.
In the within-group variance. b.
In the between-group variance. c.
In the total variance. d.
Within a single individual's score.
In ANOVA, where should you look for the treatment effect? a.
In the within-group variance. b.
In the between-group variance. c.
In the total variance. d.
Within a single individual's score.
In ANOVA, where should you look for the treatment effect? a.
In the within-group variance. b.
In the between-group variance. c.
In the total variance. d.
Within a single individual's score.
In ANOVA, where should you look for the treatment effect?
In ANOVA, where should you look for the treatment effect?
In the within-group variance.
In the between-group variance.
In the total variance.
Within a single individual's score.

9. Question 7
When the null hypothesis is true, the calculated F should be close to a.
0. b.
1. c.
Infinity. d.
There is not enough information to tell.
When the null hypothesis is true, the calculated F should be close to a.
0. b.
1. c.
Infinity. d.
There is not enough information to tell.
When the null hypothesis is true, the calculated F should be close to a.
0. b.
1. c.
Infinity. d.
There is not enough information to tell.
When the null hypothesis is true, the calculated F should be close to
When the null hypothesis is true, the calculated F should be close to
0.
1.
Infinity.
There is not enough information to tell.
Question 8

10. The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a a.
One-sample t test. b.
Two-sample t test. c.
ANOVA F test. d.
Either b or c is appropriate.
The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a a.
One-sample t test. b.
Two-sample t test. c.
ANOVA F test. d.
Either b or c is appropriate.
The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a a.
One-sample t test. b.
Two-sample t test. c.
ANOVA F test. d.
Either b or c is appropriate.
The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a
The appropriate statistic to use when testing the hypothesis for a study with three treatment
groups is a
One-sample t test.
Two-sample t test.
ANOVA F test.
Either b or c is appropriate.

11. Question 9
The Tukey HSD is the a.
Smallest amount by which any two means must differ in order to be statistically significant.
b.
Smallest amount by which any two means actually do differ. c.
Largest amount by which any two means actually do differ. d.
Largest amount by which any two means can possibly differ.
The Tukey HSD is the a.
Smallest amount by which any two means must differ in order to be statistically significant.
b.
Smallest amount by which any two means actually do differ. c.
Largest amount by which any two means actually do differ. d.
Largest amount by which any two means can possibly differ.
The Tukey HSD is the a.
Smallest amount by which any two means must differ in order to be statistically significant.
b.
Smallest amount by which any two means actually do differ. c.
Largest amount by which any two means actually do differ. d.
Largest amount by which any two means can possibly differ.
The Tukey HSD is the
The Tukey HSD is the
Smallest amount by which any two means must differ in order to be statistically significant.
Smallest amount by which any two means actually do differ.
Largest amount by which any two means actually do differ.
Largest amount by which any two means can possibly differ.

12. When and why would you conduct post hoc tests as a follow up to the overall F test? a.
When the overall F test is NOT significant; to determine which of the pairs of groups may be
significant. b.
When the overall F test is NOT significant; to determine why the overall F test is not significant.
c.
When the overall F test is significant; to determine between which pairs of groups the significant
difference lies. d.
When the overall F test IS significant; to determine if the significance is only the result of
chance.
When and why would you conduct post hoc tests as a follow up to the overall F test? a.
When the overall F test is NOT significant; to determine which of the pairs of groups may be
significant. b.
When the overall F test is NOT significant; to determine why the overall F test is not significant.
c.
When the overall F test is significant; to determine between which pairs of groups the significant
difference lies. d.
When the overall F test IS significant; to determine if the significance is only the result of
chance.
When and why would you conduct post hoc tests as a follow up to the overall F test?
When and why would you conduct post hoc tests as a follow up to the overall F test?
When the overall F test is NOT significant; to determine which of the pairs of groups may be
significant.
When the overall F test is NOT significant; to determine why the overall F test is not significant.
When the overall F test is significant; to determine between which pairs of groups the significant
difference lies.
When the overall F test IS significant; to determine if the significance is only the result of
chance. a.
True. b.
False.
Solution

13. 1.
true because it is the ratio of sum squares
2.
true
3.
true
4.
false
5.
false
6.
b. In the between-group variance.
7.
a. 0
8.
c. ANOVA F test
9.
a. Smallest amount by which any two means must differ in order to be statistically significant