# Project #24091 - Statistics-ANOVA

Quiz help needed in one hour - Statistics (True, False, and Multiple Choice)

**NEEDED IN ONE HOUR**

ANOVA STATISTICS

Question 1

1.

F can never be negative.

 a. True. b. False.

10 points

Question 2

1.

One drawback of ANOVA is that it allows type 1 error to escalate for every additional group tested.

 a. True. b. False.

10 points

Question 3

1.

The between sums of squares and within sums of squares must add to the total sums of squares.

 a. True. b. False.

10 points

Question 4

1.

The sum of within-groups variance and between-group variance is the total variance.

 a. True. b. False.

10 points

Question 5

1.

An ANOVA with one independent variable but four groups is known as a one-way ANOVA.

 a. True. b. False.

10 points

Question 6

1.

We use an F test rather than a t test for multi-group studies primarily to

 a. Avoid calculating standard deviations from the variances. b. Be able to use a single formula regardless of differing sample sizes between groups. c. Reduce calculation time. d. Avoid escalating type 1 error rates.

10 points

Question 7

1.

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.

10 points

Question 8

1.

Assume that the group means in a study are as follows:

Group 1 = 20.
Group 2 = 18.
Group 3 = 37.

If the Tukey HSD critical value is 18, what can you say about the location of the significant difference between the groups?

 a. It lies between Groups 1 and 2 only. b. It lies between Group 1 and 3 only. c. It lies between Groups 2 and 3 only. d. There is no statistical significance between the Groups.

10 points

Question 9

1.

An F table shows the following two critical values: 2.96 and 4.60. Which of these values would be the critical value for a 0.01 error level?

 a. 2.96. b. 4.60. c. There is not enough information to tell.

10 points

Question 10

1.

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.

10 points

 Subject Mathematics Due By (Pacific Time) 03/01/2014 09:00 pm
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