Asked by Please answer the following questions The data for a chi-square test are called expected
frequencies . (Points: 1) True False 2. The chi-square test for independence requires that each individual be categorized on two separate variables. (Points: 1) True False 3. One characteristic of nonparametric tests is that they make few, if any, assumptions about the populations being
investigated. (Points: 1) True False 4. The data for a chi-square test are called observed frequencies. (Points: 1) True False 5. The chi-square test for goodness of fit evaluates _____. (Points: 1) the relationship between two variables the mean differences between two or more treatments
the shape or proportions for a population distribution None of the other options are evaluated by the chi-square test. 6. A researcher would like to test the claim that 9 out of 10 doctors prefer Brand X. A sample of 60 doctors is obtained and each is asked to compare Brand X with another leading brand. The data show that 48 of the doctors picked Brand X. If these data are evaluated
using a chi-square test for goodness of fit, what is the expected frequency for Brand X? (Points: 1) 9 12 48 54 7. A chi-square test for independence has df = 3. What is the total number of categories (cells in the matrix) that were used to classify individuals in the sample? (Points:
1) 4 6 8 9 2 pages
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the doctors picked Brand X. If these data are evaluated using a chi-square test for goodness of fit, what isthe expected frequency for Brand X?Question 50 out of 2.5 pointsA chi-square test for independence is being used to evaluate the relationship between two variables. Ifthe test has df = 3, what can you conclude about the two variables?Question 62.5 out of 2.5 pointsFor the expected frequencies in a chi-square test for independence, the proportions for any row are thesame as the proportions in every other row.
A researcher examines whether 9 out of 10 doctors prefer Brand X as a preventative care method. A sample of 60 doctors is obtained and each is asked to compare Brand X with another leading brand. The data show that 48 of the doctors picked Brand X. If these data are evaluated using a chi-square test for goodness of fit, what is the expected frequency for Brand X?
a. fe = 6
b. fe = 12
c. fe = 48
d. fe = 54
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