Question

The appropriate test for differences in three or more means is

(a) one-factor ANOVA

(b) two-factor ANOVA

(c) paired t-test

Answer #1

(a) one-factor ANOVA

Explanation: We use paired t test for checking the significant difference in the two paired population means. We use the one factor ANOVA test for checking the significant differences in the three or more population means. We use the two factor ANOVA test for checking the significant differences within treatments and among treatments, and also checking significant interactions. So, for checking only significant differences between three or more population means, we use one factor ANOVA.

The one-way ANOVA is a generalization of what other statistical
test?
ANOVA is a generalization of the two-sample t test for
independent means.
ANOVA is a generalization of Levene's test for differences
between variations.
ANOVA is a generalization of the paired t test for
independent means.
ANOVA is not related to any other tests.
2. The conclusion that you would draw from the test above
is:
A. fail to reject the null hypothesis.
B. reject the null hypothesis. There is...

1A. the most appropriate t-test if you are comparing means for
two separate groups that have no relationship to each other?
paired samples t-test
independent samples t-test
dependent samples t-test
none of the above
Which of the following tests are necessary to find out the
details of ANOVA?
Chi-Square
correlation
regression
post hoc test

A two means t-test is appropriate when ____
A. the value for ? is known
B. the mean for a sample is compared to a known population
mean
C. one sample is used to test a hypothesis about one
population
D. there are two separate samples containing different
subjects

1.A researcher uses one-factor ANOVA to test the statistical
significance of differences among five treatments, with a sample of
n = 10 in each treatment group. The F-ratio for this analysis would
have what df values?
A. df = 5, 100
B. df = 4, 95
C. df = 4, 45
D. None of the above.
2. For a one-factor ANOVA comparing four treatment groups,
MSbetween = 32. What is the value of SSbetween?
A. 96
B. 80
C. 36...

What is the advantage of using ANOVA to test for differences
among treatment means rather than testing all possible pairs of
treatment means?

The structure of a two-factor study can be presented as a
matrix, with one factor determining the rows and the second factor
determining the columns. With this structure in mind, identify the
three separate hypothesis tests that make up a two-factor ANOVA,
and explain the purpose of each test. Describe the mean differences
that are evaluated by each of the three hypothesis tests

For each hypothesis, the specific statistical test appropriate
for testing the hypothesis should be described and a brief
description of why the chosen test is most appropriate should be
included.
One Sample t-test, Two sample t-test, Two related
(correlated/paired/dependent)sample t-test, One Factor (one way)
analysis of variance (ANOVA), Factorial for two way/facot Analysis
of Variance (Anova), One Variable Chi-Square test, two variable chi
square test, correlation, or linear regression
Example:
1. People who work in a sedentary job are more...

What is the appropriate test (e.g., Independent Samples T Test,
Paired Samples T-Test, ANOVA, Correlation) and why (e.g., what type
of variables are you analyzing)?
What is the effect of living arrangements on the overall
satisfaction at University.

In a paired t-test, when will the distribution of sample means
of the differences be normal or approximately normal?
Select all that apply.
A.
When the sample is representative of the population of
interest
B.
When the sample size is at least 30
C.
When the distribution of differences in the population is
normal
D.
When all of the above are true

If an ANOVA test indicates there is a difference among the group
means, in order to identify which specific means are statistically
different from the others, you would use: Select one:
a. T test
b. Tukey-Kramer procedure
c. F test
d. Levene test

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