Question

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.

Answer #1

The answer is:

We want to know the effect of living arrangements on the overall satisfaction at University. Therefore we have to quantify the association between living arrangements and the overall satisfaction at the university. Hence the appropriate test here will be a correlation. We have living arrangements as a categorical variable, while overall satisfaction should be a quantitative number. Depending upon how data is received, we can assign numbers to the living arrangements and find the required correlation.

None of the other tests mentioned can help find the association.

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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) Provide a real life example scenario for a paired-samples
t-test that includes sample data for N = 4 in each
condition. Do not only present the numbers; you need a reasonable
example of something that could be tested with a paired-samples
t-test.
b) Explain why your example is appropriate for a paired-samples
t-test.
c) Conduct the paired-samples t-test (two-tailed test
with an alpha of .05), showing your work for each step.

What causes the p-value to be the same in an independent sample
t-test and as a one-way ANOVA?
1. Is it because dependent variables are the same while the
independent variable is different across the two methods?
2. Because ANOVA is a special case of the independent samples
t-test.
3. Because ANOVA is a generalization of the independent sample
t-test?

HW 6: z-test, t-test for independent samples, t-test for related
samples, 1-way ANOVA
Researchers wanted to explore different treatment methods to
effect memory skills in high school freshmen. Subjects were given a
memory test (under multiple conditions) these were the results:
Group 1
10, 8, 9, 11,
8, 9, 7, 6,
9, 8
Group 2
12, 10,
11, 9, 13, 8, 9, 12, 11, 11
Group 3
10, 9, 10, 9, 11,
8, 7, 9, 10, 11...

5. What is ANOVA's test statistic (i.e., what does an ANOVA
compute/ what do you look up on an ANOVA results table)?
6. I want to examine whether people with higher education vote
more, on average. What stat should I use? . A. Independent samples
t-test B. Regression C. Correlation D. One Sample T-Test
7. You are working at a research hospital, helping with an
experimental study on antiretroviral medications. Participants have
been randomly assigned to take either AZT, Stribild,...

What is the difference between a t test for independent
samples and a t test for related (dependent) samples?
Give an example of when you would use each?

1. Describe a study where a one-way ANOVA would be appropriate
(hint: how many independent variables are there in a
one-way ANOVA?). Make sure to tell us your independent and
dependent variables.
2. What would you hypothesize in terms of the effect of your IV
on your DV on why?

Regression/Correlation differs from ANOVA and t-test in what
way?

Determine whether you would use an independent t-test, dependent
t-test, or ANOVA with the following:
a. You have one qualitative independent variable, two levels, a
quantitative dependent variable and different participants in each
level
. b. You have two qualitative independent variables, two levels
each, and a quantitative dependent variable.
c. You have one qualitative independent variable, two levels, a
quantitative dependent variable and same participants in each
level.

For this week's assignment, find an article that uses either an
independent samples t-test or a correlated (also known as "paired")
t-test. 1. Give me the APA reference for it. 2. What is the article
about? 3. What did the article discover?

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