Scores in the first and final rounds for a sample of 20 golfers who competed in tournaments are contained in the table below. Answer the following questions.
Player | First Round | Final Round |
Michael Letzig | 70 | 66 |
Scott Verplank | 67 | 77 |
D.A. Points | 71 | 65 |
Jerry Kelly | 73 | 72 |
Soren Hansen | 73 | 67 |
D.J. Trahan | 77 | 69 |
Bubba Watson | 77 | 72 |
Reteif Goosen | 67 | 68 |
Jeff Klauk | 66 | 65 |
Kenny Perry | 76 | 68 |
Aron Price | 68 | 66 |
Charles Howell | 72 | 69 |
Jason Dufner | 74 | 67 |
Mike Weir | 72 | 73 |
Carl Pettersson | 74 | 68 |
Bo Van Pelt | 77 | 69 |
Ernie Els | 77 | 69 |
Cameron Beckman | 69 | 74 |
Nick Watney | 69 | 65 |
Tommy Armour III | 75 | 68 |
Suppose you would like to determine if the mean score for the first round of an event is significantly different than the mean score for the final round. Does the pressure of playing in the final round cause scores to go up? Or does the increased player concentration cause scores to come down?
a. Use alpha=.10 to test for a statistically significantly difference between the population means for first- and final-round scores. What is the p-value?
p-value is (to 4 decimals)
b. What is the point estimate of the difference between the two population means?
(to 2 decimals)
c. What is the margin of error for a 90% confidence interval estimate for the difference between the population means?
(to 2 decimals)
The statistical software output for this problem is:
Hence,
a) p - Value = 0.0056
b) Point estimate = 3.35
c) Margin of error = (5.203 - 1.497)/2 = 1.85
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