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
In a research article, the authors said that they used a
chi-square test for independence for testing whether there is
statistically significant correlation between two categorical
variables. Each of categorical variables has two categories of
outcomes. So, the contingency table for crossclassifying these two
variables is a 2x2 table. They reported the chi-square statstic
value for this test of independence and it is 5.21. Please mark all
statements that are correct.
A
The correlation between the two categorical variables is...
The Chi-Square test of independence is used to determine if
there is a significant relationship between two nominal categorical
variables. The frequency of one nominal variable is compared with
different values of the second nominal variable. The chi-squared
goodness of fit test is appropriate when the following conditions
are met:
The sampling method is simple random sampling
The variable under study is categorical
The expected value of the number of sample observations in
each level of the variable is at...
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...
When we run a chi-square test of independence on a 2x2 table,
the resulting Chi-square test statistic would be equal to the
square of the Z-test statistic from the Z-test of two independent
proportions. True or false
1. Compare and contrast the correlation and the chi-square test
of independence. How are they similar and how are they different
(i.e. when to use each) 2. Come up with two hypothetical examples
demonstrating both strategies or come up with "real-world"
applications of these strategies in your professional life (i.e.
how could you apply these in your work).
Chi Square? Outline the basic ideas behind the chi-square test
of independence. What null and alternative hypotheses are used? How
does a chi-square test of homogeneity differ from a chi-square test
of independence? Describe a Goodness of Fit Test. What are the
cells? How many degrees of freedom are there
A Chi-square test for goodness of fit is used to evaluate
preferences for 8 different designs of a new automobile. With a
sample of n = 500 the researcher obtained a Chi-square
statistic of Chi2 = 15.81. What is the correct
statistical decision for this outcome (assume p
<.05)?
A. Reject the null hypothesis and conclude that there is no
significant difference in preferences.
B. Reject the null hypothesis and conclude that there is a
significant difference in preferences.
C....