A researcher would like to test the claim that 9 out of 10 doctors prefer Brand X

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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

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A researcher would like to test the claim that 9 out of 10 doctors prefer Brand X

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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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A researcher would like to test the claim that 9 out of 10 doctors prefer Brand X

A researcher would like to test the claim that 9 out of 10 doctors prefer Brand X

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What is chi

The chi-square test of independence is an inferential statistical test, meaning that it allows you to draw conclusions about a population based on a sample. Specifically, it allows you to conclude whether two variables are related in the population.

What is evaluated by the chi

What is the Chi-square goodness of fit test? The Chi-square goodness of fit test is a statistical hypothesis test used to determine whether a variable is likely to come from a specified distribution or not. It is often used to evaluate whether sample data is representative of the full population.

Which of the following is a basic assumption for a chi

The assumptions of the Chi-square include: The data in the cells should be frequencies, or counts of cases rather than percentages or some other transformation of the data. The levels (or categories) of the variables are mutually exclusive.

How does the difference between E and O influence the outcome of a chi

How does the difference between fe and fo influence the outcome of a chi-square test? The larger the difference, the larger the value of chi-square and the greater the likelihood of rejecting the null hypothesis.