1. Write a summary. Write a small summary explaining the
differences between correlation and the chi-square test for
independence. Post your summary to the discussion forum.
2. List two examples where you would use correlation to test the
relationship between two variables, and two examples where you
would use chi-square to test the relationship.
1. All of the following are steps in figuring the chi-square
statistic EXCEPT
a. figure the overall F ratio, by figuring, for each category or
cell, the observed minus expected, and squaring this
difference.
b. determine the observed frequencies in each category or
cell.
c. determine the expected frequencies in each category or
cell.
d. divide each squared difference between observed and expected
frequencies by the expected frequency for its category or cell.
2. A researcher carries out a chi-square...
Using the data below and the 5 steps of null hypothesis testing
for a chi-square goodness of fit test examine if the
frequency of confirmed COVID-19 cases are equally proportionate
between the states of Wyoming, North Dakota, Nebraska, and South
Dakota (p < .05).
**Data retrieved from Center for
Disease Control (April 22, 2020)**
Observed
Frequencies
Wyoming
430
N. Dakota
627
Nebraska
1648
S. Dakota
1675
Chi-Square Test for Independence
Using Chi-Square, we are looking to see if there is a
significant difference between what we would expect results to be,
and what the actual results were. That is, expected vs.
observed. Use alpha = .05
Listed below are data from a survey conducted recently where
Males and Females responded to their happiness with their
supervisor (this is fictitious data).
Response
Male
Female
Total
Not at all
23
25
48
Somewhat
13
22
35
Very
26...
Chi-Square Test for Independence
Using Chi-Square, we are looking to see if there is a
significant difference between what we would expect results to be,
and what the actual results were. That is, expected vs.
observed. Use alpha = .05
Listed below are data from a survey conducted recently where
Males and Females responded to their happiness with their
supervisor (this is fictitious data).
Response
Male
Female
Total
Not at all
23
25
48
Somewhat
13
22
35
Very
26...
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