Choose either the Chi Square Goodness of Fit test OR the Chi
Square Test for Independence. Give an example of a research
scenario that would use this test, including your hypothesis AND
what makes the test suitable for your variables chosen
1) What’s the difference among the chi-square test for goodness
of fit, the chi-square test for independence, and the chi-square
test for homogeneity
2) State the requirements to perform a chi-square test
When evaluating a chi-square test, describe the importance of
the goodness of fit test. Provide an example and explain how the
test is used to evaluate the data.
When evaluating a chi-square test, describe the importance of
the goodness of fit test. Provide an example and explain how the
test is used to evaluate the data.
When evaluating a chi-square test, describe the importance of
the goodness of fit test. Provide an example and explain how the
test is used to evaluate the data.
When evaluating a chi-square test, describe the importance of
the goodness of fit test. Provide an example and explain how the
test is used to evaluate the data
When evaluating a chi-square test, describe the importance of
the goodness of fit test. Provide an example and explain how the
test is used to evaluate the data.
For each of the following examples, state whether the chi-square
goodness-of-fit test or the chi-square test for independence is
appropriate, and state the degrees of freedom (df) for the
test.
Part A) An instructor tests whether class attendance (low, high)
and grade point average (low, average, high) are independent.
- State whether the chi-square goodness-of-fit test or the
chi-square test for independence is appropriate.
- State the degrees of freedom for the test. df =
Part B) A student tests...
Compare the chi-squared test for goodness of fit to the
chi-squared test for independence. Be sure to mention number of
samples and the number of levels of categories for your comparison.
Also provide the alternative hypothesis for both.
Which of the given is not a requirement for the
validity of the chi‑square goodness‑of‑fit test?
1) independent observations
2) all observations falling into one of k outcome classes
3) a fixed number of observations
4) normally distributed data