STAT 250 Project IV Test for association between two categorical variables
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STAT 250 Project IV
Name:
The study on genetics and fast-twitch muscles includes a sample of elite sprinters, a sample of elite endurance athletes, and a control group of non-athletes.
Yang, N, et al., “ACTN3 genotype is associated with human elite athletic performance,” American Journal of Human Genetics, 2003; 73:627-631.
Is there an association between genetic allele classification (
R
or X
) and group (sprinter, endurance, control)?
Given computer output for the chi-square test (in each cell, the top number is the observed count, the middle number is the expected count, and the bottom number is the contribution to the chi-square statistic), answer the following questions.
R
X
Total
Control
244
251.42
0.219
192
184.58
0.299
436
Sprint
77
61.70
3.792
30
45.30
5.166
107
Endurance
104
111.87
0.554
90
82.13
0.755
194
Total
425
312
737
Chi-Sq = 10.785, DF = 2, P-Value = 0.005
1.
(2 pts) How many endurance athletes were included in the study?
2.
What is the expected count for sprinters with R allele? (2 pts) For this cell, what is the contribution to this chi-square statistic? (2 pts) Verify both values by computing them yourself (6
pts).
3.
What are the degrees of freedom for the test? (2 pts) Verify this value by computing it yourself. (4 pts)
4.
What is the chi-square test statistic? (2 pts) Verify this value by computing yourself. (10 pts) What is the p-value? (2 pts) Verify this value by using the online calculator, https://stattrek.com/online-calculator/chi-square
, and including the screenshot in your report. (3 pts) What is the conclusion of the test (explain your conclusion by providing the null and the alternative hypotheses)? (6 pts)
5.
Which cell contributes the most to the chi-square statistic? (3 pts) For this cell, is the observed count greater than or less than the expected count? (3 pts)
6.
Which allele is most over-represented in endurance athletes? (3 pts)
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