Question

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 likely to have arthritis thanpeople who do not work in a sedentary job.

**Two variable chi-square test (test for/of independence)
– Both variables arenominal, so a two variable chi-square test
would be the most appropriate test**

**to choose.**

**Please help with:**

There is a relationship between the risk of developing type 2 diabetes comparing people with different levels of active lifestyles.

Answer #1

There is a relationship between the risk of developing type 2 diabetes comparing people with different levels of active lifestyles.

This will also need chi-square test for independence because
there are two levels for diabetes as "With the risk of developing
type 2 diabetes and no risk of developing type 2 diabetes" and
another variable is levels of active lifestyles this will be
treated as the nominal variable. Hence, **a two-variable
chi-square test would be the most appropriate test**

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 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...

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.

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...

For the following,
indicate what type of analysis (test) you would perform and what
alternative hypothesis you are testing. If you think a directional
test is appropriate, make sure you incorporate this in the
alternative hypothesis. In your answer, please indicate 2 things:
the type of analysis AND the alternative hypothesis
You measure both
length and width of three species of barnacle. You are trying to
figure out if there is a difference between these three species.
You measure 22...

Which appropriate test should be used with each? Please Explain
your process.
Example of how to form the answer
IV:
DV:
What sample test? Independent sample t-test,
ANOVA, One-way ANOVA, Simple regression, CHI-square
A). Which test should be used for this hypothesis: There are
more male than female Reddit members.
B). Which test should be used to test this hypothesis: younger
people (22-35 yrs) have higher intentions to adopt self-driving
cars (measured by 7-point bipolar scales) than older people (55...

or the following, indicate what type of analysis (test) you
would perform and what alternative hypothesis you are testing. If
you think a directional test is appropriate, make sure you
incorporate this in the alternative hypothesis. In your answer,
please indicate 2 things: the type of analysis AND the alternative
hypothesis Important: You may not know how to do the correct
analysis. If this is the case, simply write “talk to a
statistician” or “I wasn't taught this” as the...

Do people send less text messages as they get older? A.
One-Sample T-Test B. Two-Sample T-Test C. Chi-Squared Goodness
of Fit Test D. Regression E. One-Way ANOVA Test F. One-Sample
Proportion Z-Test G. Chi-Squared Test for Two-Way Tables H.
Paired T-Test

Team SASK is studying distractions while driving.
They watched people driving, and recorded any distractions they
saw. If someone had more than one distraction, they recorded that
fact.
They will analyze each distraction separately. For each,
they want to know how common each distraction is.
* What hypothesis test and/or confidence interval can you use for
this?
Single-sample t-test
One sample proportion test (Chi-square test)
Chi-square goodness-of-fit test
Two-sample t-test
Paired t-test
One-way ANOVA
Repeated-measures ANOVA
Multi-way ANOVA
Test for...

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

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