Please answer the following questions below.

What is the difference between a chi-square test of independence and a chi-square goodness of fit test? (Choose the best answer from the choices below.)

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The chi-square goodness of fit test is used for continuous data, whereas the chi-square test of independence must use interval or ratio-level data.

The chi-square test of independence tests a single sample, whereas the chi-square goodness of fit test compares two groups.

There is no difference; you can use them interchangeably.

The chi-square goodness of fit test evaluates a single sample, whereas the chi-square test of independence compares two groups.

Flag question: Question 2Question 21pts

When using the chi-square test of independence, consider the following assumptions and choose all that apply.

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Allows a comparison between two variables.

Chi-square test of independence has the assumption that you must have at least five observations in each cell.

Can be two dichotomous variables (2x2) or can be more (2x3, 4, or 5).

All require continuous data.

Flag question: Question 3Question 31pts

The best way to visualize a chi-square relationship is:

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A scatterplot

A bar chart

A histogram

A line graph

Flag question: Question 4Question 41pts

The Fisher Exact test:

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Is a type of chi-square that tests for association

Is a nonparametric test that is useful for a comparison of means

Is a special type of chi-square for a 2x2 contingency table that is especially useful for small samples

Is a type of chi-square test that uses continuous data

Flag question: Question 5Question 51pts

Moradkhani et al. (2021) presented one relationship between variables using this table. Interpret these results by selecting the correct answer from the following choices.

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None of the above are true statements.

Neither comparison was statistically significant.

Low-adherence patients had fewer drugs to take as compared to low- and medium-adherence patients.

There were nine patients with longer duration (4 to 17 years) and four patients with high adherence (1 to 8 years), suggesting that less time with the diagnosis is linked with higher adherence (p= .04).

Flag question: Question 6Question 61pts

In the DNP project on ultrasound-guided peripheral intravenous (USGPIV) insertion, the student used a combination of statistical tests to determine project success. She used a chi-square test of independence to test the incidence of USPIV use pre and postintervention and a Mann-Whitney U test to evaluate the difference in hours that the line lasted before having to be replaced. Consider the following comparisons and choose the best answer.

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A chi-square test of independence was the wrong choice: The student should have used the chi-square goodness of fit test and the independent samplesttest would have been a better choice for the comparison of means.

A chi-square test of independence measures the difference in counts, and the Mann-Whitney U tests the difference in medians using ranks.

A chi-square test of independence measures the differences in means, and the Mann-Whitney U tests the differences in counts.

None of the above.