EXERCISE 19 Questions to Be Graded

1. According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically significant?
2. What level of measurement is appropriate for calculating the χ2 statistic? Give two examples from Table 2 of demographic variables measured at the level appropriate for χ2.
3. What is the χ2 for U.S. practice region? Is the χ2 value statistically significant? Provide a rationale for your answer.
   , because the p-value is less than the significance level.
4. What is the df for provider type? Provide a rationale for why the df for provider type presented in Table 2 is correct.
5. Is there a statistically significant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer.
6. State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers.
7. Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer.
8. Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014).
9. How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2? Provide a rationale for your answer.
10. A statistically significant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ2 = 29.68. Does the χ2 result provide the location of the difference? Provide a rationale for your answer.

EXERCISE 35 Questions to Be Graded

1. Do the example data in Table 35-2 meet the assumptions for the Pearson χ2 test? Provide a rationale for your answer.
2. Compute the χ2 test. What is the χ2 value?
3. Is the χ2 significant at α = 0.05? Specify how you arrived at your answer.
4. If using SPSS, what is the exact likelihood of obtaining the χ2 value at least as extreme as or as close to the one that was actually observed, assuming that the null hypothesis is true?
5. Using the numbers in the contingency table, calculate the percentage of antibiotic users who tested positive for candiduria.
6. Using the numbers in the contingency table, calculate the percentage of non-antibiotic users who tested positive for candiduria.
7. Using the numbers in the contingency table, calculate the percentage of veterans with candiduria who had a history of antibiotic use.
8. Using the numbers in the contingency table, calculate the percentage of veterans with candiduria who had no history of antibiotic use.
9. Write your interpretation of the results as you would in an APA-formatted journal.
10. Was the sample size adequate to detect differences between the two groups in this example? Provide a rationale for your answer.

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