Question
In: Math
For this discussion, you will create an example to which the chi-square test of independence could...
For this discussion, you will create an example to which the chi-square test of independence could be applied. Develop a main response in which you address the following:
- Identify two categorical variables for which a chi-square test of independence could be conducted.
- Describe the categories of each.
- Explain why these would be appropriate for this test.
- Predict whether or not the chi-square test result would be significant, and what this would imply about the variables.
Solutions
Expert Solution
Two categorical variable and description for categories is given under the problem heading.
These would be appropriate for the test because a key assumption of the chi square test of independence is that each subject contributes data to only one cell. Therefore the sum of all cell frequencies in the table must be the same as the number of subjects in the experiment.
x-square = 26.2596
p-value =0.00002805
Since p-value is less than 0.05. we concluded that the tenure status of the farms are independent of a levels of soil fertility. And chi-square would be significant.
milcah answered 1 year agoRelated Solutions
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For this assignment, you will create a cross tabs and conduct a
chi-square test of independence. Begin by asking some of your
friends or acquaintances (you'll need both males and females) what
their favorite pet type is, out of a dog, a cat, a hamster, or a
lizard. Then, create a cross tabs (you can use the following
template) with this information. Crosstabs: Gender and Favorite Pet
Type Dog Cat Hamster Lizard Total Female Male Total Once you have
completed...
Choose either the Chi Square Goodness of Fit test OR the Chi Square Test for Independence....
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
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
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...
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...
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
Chi Square? Outline the basic ideas behind the chi-square test of independence. What null and alternative...
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
Lets apply the Chi-square Test of Independence to our example where we have as random sample...
Lets apply the Chi-square Test of Independence to our example
where we have as random sample of 500 U.S. adults who are
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tax reform bill. We will test if the political affiliation and the
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significance. The observer contingency table is given below. Also
we often want to include each cell's expected count and
contribution to the Chi-square test...
In a research article, the authors said that they used a chi-square test for independence for...
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...
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...
You have been using the chi-square test of independence to test for association between two variables....
You have been using the chi-square test of independence to test
for association between two variables.
1) Give an example of a pair of variables for which you would
expect to find no association.
2) Give an example of a pair of variables for which you would
expect to find association, but not a causal relationship.
3) Finally, give an example of a pair of variables for which you
would expect to find a causal relationship.
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