Question

QUESTION 24 A study examines fitness differences between males and females. A chi-square test of association...

QUESTION 24

A study examines fitness differences between males and females. A chi-square test of association is used to test the results. The results are displayed in the following table:

Gender

Fit

Not Fit

Total

X2,df

p

Male     n (%)

24 (41.8%)

34 (58.6%)

58

5.76, 1

.02

Female n (%)

34 (64.2%)

19 (35.8%)

53

Total

58

53

111

The most appropriate interpretation of these results is:

1.

Fitness levels were similar in men and women. There is no siginficant association between gender and fitness.

2.

A significantly higher proportion of females is fit compared to males.   There is a signficant association between gender and fitness.

3.

Fitness levels were similar in men and women. There is a siginficant association between gender and fitness.

4.

A significantly higher proportion of females is fit compared to males. There is no association between gender and fitness.

4.00000 points   

QUESTION 25

A study of an intervention program for low back pain uses the Visual Analogue Scale (VAS) for Pain as an outcome.   Pain is assessed before the intervention and then again, in each subject, during a follow-up visit. Results are summarized below. Assume, for this study that there was evidence of skew and that the VAS can be treated as ORDINAL.

Outcomes

Baseline

Follow-Up

Pain (Median VAS ± IQR)

8 ± 3

3 ± 3

Which of the following statistical tests would be most appropriate to see if there was a significant change in VAS from baseline to follow-up?

Sign Rank Test

Paired t test

Independent samples t test

Mann Whitney U

Homework Answers

Answer #1

Answer 24

Since the p value is less than 0.05 significance level, so we are confident that the p value is significant and there must be a significant association.

So, we can reject option 1 and 4 as these options suggesting no association

We are testing for the difference in fitness level between female and male, so the we can say that the p value is significant and thus, we can conclude that there is a significant difference or high proportion of females is fit compared to males

So, option 2 is correct answer

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