Question

An experiment is conducted to test the hypothesis that physical activity (PA) promotes stress resilience. Participants diagnosed with PTSD are grouped as sedentary, low PA, or high PA. They are also grouped, based on their diagnostic evaluations, as having adaptive or maladaptive coping strategies. These data should be analyzed by

chi-square test of independence. |
||

chi-square goodness of fit test. |
||

two-way ANOVA. |
||

one-way ANOVA. |
||

independent measures t-test. |

Answer #1

The correct answer is:

*We need to test the hypothesis that physical activity (PA)
promotes stress resilience. Participants diagnosed with PTSD are
grouped as sedentary, low PA, or high PA. They are also grouped,
based on their diagnostic evaluations, as having adaptive or
maladaptive coping strategies.*

Here both the variables are categorical and we are dealing with count data. Also, we need to ascertain whether a relationship exists between the two categorical variables. Hence the chi-square test of independence is a natural choice here.

**Let me know in the comments if anything is not
clear. I will reply ASAP! Please do upvote if
satisfied!**

1a.) Seventy-seven percent of your participants are employed,
and you want to know if your sample is representative of the
underlying population (85% employed) on this variable. What kind of
statistical test does this call for?
ANOVA
Dependent Samples t-test
Single Mean
Chi-square for independence
Correlation
Chi-square for goodness of fit
Independent Samples t-test
1b.) Imagine you have conducted the appropriate test for the
above design, with α = .01 and p = .002. What would you
conclude?
Your sample...

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...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at all. Assume
homogeneity of variance (where applicable) and the validity of
parametric tests (where applicable), unless something is directly
stated (e.g., “the data are not at all normal”) or otherwise
indicated (viz., by the inspection of the data) which would
indicate a strong and obvious violation of an assumption. This
means you...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

1. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

2. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 3 minutes ago

asked 8 minutes ago

asked 10 minutes ago

asked 15 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago