Solutions – EXERCISE 19 Understanding Pearson Chi-Square
EXERCISE 19 Questions to Be Graded
Follow your instructor’s directions to submit your answers to the following questions for grading. Your instructor may ask you to write your answers below and submit them as a hard copy for grading. Alternatively, your instructor may ask you to use the space below for notes and submit your answers online at http://evolve.elsevier.com/Grove/Statistics/ under “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.
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.