# Exercise 35: Calculating Pearson Chi-Square

Exercise 35: Calculating Pearson Chi-Square

Questions to Be Graded

The following questions refer to the section called “Data for Additional Computational Practice” in Exercise 35 of Grove & Cipher, 2017.

1.     Do the example data in Table 35-2 meet the assumptions for the Pearson χ2 test? Provide a rationale for your answer.

A.   Yes, the data meet the 2 assumptions.

B.    No, the data do not meet the 2 assumptions.

C.    Yes, the data meet the 3 assumptions.

D.   No, the data do not meet the 3 assumptions.

Answer: Choose an item.

2.     Compute the χ2 test. What is the χ2 value?

A.     11.93

B.     12.93

C.     13.93

D.     14.93

Answer: Choose an item.

3.     Is the χ2 significant at α = 0.05? Specify how you arrived at your answer.

A.   Yes, by comparing it with the critical value.

B.    No, by comparing it with the critical value.

Answer: Choose an item.

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?

A.     0.1%

B.     0.5%

C.     1%

D.     5%

Answer: Choose an item.

5.     Using the numbers in the contingency table, calculate the percentage of antibiotic users who tested positive for candiduria.

A.    15.5%

B.    25.9%.

C.    47.6%

D.    0%

Answer: Choose an item.

6.     Using the numbers in the contingency table, calculate the percentage of non-antibiotic users who tested positive for candiduria.

A.   15.5%

B.    25.9%.

C.    47.6%

D.   0%

Answer: Choose an item.

7.     Using the numbers in the contingency table, calculate the percentage of veterans with candiduria who had a history of antibiotic use.

A.   0%

B.    10%.

C.    15%

D.   100%

Answer: Choose an item.

8.     Using the numbers in the contingency table, calculate the percentage of veterans with candiduria who had no history of antibiotic use.

A.   0%

B.    10%.

C.    15%

D.   100%

Answer: Choose an item.

9.     Write your interpretation of the results as you would in an APA-formatted journal.

Enter your answer here and select the “Completed” choice in the dropdown menu. If more space is needed, please hit the Enter key from your computer.

Answer:   Choose an item.

10.  Was the sample size adequate to detect differences between the two groups in this example? Provide a rationale for your answer.

A.    The sample size was adequate to detect differences between the two groups because a significant difference was found, p = 0.001.

B.    The sample size was not adequate to detect differences between the two groups because no significant difference was found, p >0.05.

Answer: Choose an item.

Grading

Please do not add or delete a row or column for the following grading table. If you have a problem with the drop-down lists, then you can enter your answers in the second column.  If you use the drop-down lists, the instructor will update your answers in the table. Thanks [checkout]