A golf instructor is interested in determining if her new technique for improving players’ golf scores is effective.
She takes four new students and records their 18-hole scores
before learning the new technique and then after
having taken her class. She then conducts a hypothesis test at a
significance level of 5%.
The data are as follows.
Player 1 |
Player 2 |
Player 3 |
Player 4 |
|
Mean score before class |
83 |
78 |
93 |
87 |
Mean score after class |
80 |
80 |
86 |
86 |
What is the Null Hypotheses?
What is the Alternate Hypothesis?
What is the significance level of the test?
What is the appropriate distribution for performing this test?
What is the critical value?
What is the numerical value of the test statistic?
What is the Pvalue for this hypothesis test.
P-Value:
We can find p- value using R:-
>pt(t-value,n-1,lower.tail=F)
>pt(3.998,3,lower.tail=F)
[1]0.0140257
P-Value=0.0140
Hence, we reject H0
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