Question

In: Statistics and Probability

The “spring-like effect” in a golf club could be determined by measuring the coefficient of restitution...

The “spring-like effect” in a golf club could be determined by measuring the coefficient of restitution (the ratio of the outbound velocity to the inbound velocity of a golf ball fired at the club head). Twelve randomly selected drivers produced by two club makers are tested and the coefficient of restitution measured. The data follow:

Club 1: 0.8406, 0.8104, 0.8234, 0.8198, 0.8235, 0.8562, 0.8123, 0.7976, 0.8184, 0.8265, 0.7773, 0.7871

Club 2: 0.8305, 0.7905, 0.8352, 0.8380, 0.8145, 0.8465, 0.8244, 0.8014, 0.8309, 0.8405, 0.8256, 0.8476

Does this two Clubs produces the same “Spring like effect” Use alpha=0.10 to show you analysis.

Solutions

Expert Solution

Solution:-

State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.

Null hypothesis: u1 = u 2
Alternative hypothesis: u1 u 2

Note that these hypotheses constitute a two-tailed test. The null hypothesis will be rejected if the difference between sample means is too big or if it is too small.

Formulate an analysis plan. For this analysis, the significance level is 0.10. Using sample data, we will conduct a two-sample t-test of the null hypothesis.

Analyze sample data. Using sample data, we compute the standard error (SE), degrees of freedom (DF), and the t statistic test statistic (t).

SE = sqrt[(s12/n1) + (s22/n2)]
SE = 0.00804
DF = 22
t = [ (x1 - x2) - d ] / SE

t = - 1.37

where s1 is the standard deviation of sample 1, s2 is the standard deviation of sample 2, n1 is the size of sample 1, n2 is the size of sample 2, x1 is the mean of sample 1, x2 is the mean of sample 2, d is the hypothesized difference between the population means, and SE is the standard error.

Since we have a two-tailed test, the P-value is the probability that a t statistic having 22 degrees of freedom is more extreme than -1.37; that is, less than -1.37 or greater than 1.37.

Thus, the P-value = 0.185

Interpret results. Since the P-value (0.185) is greater than the significance level (0.10), we have to accept the null hypothesis.

From the above test we have sufficient evidence in the favor of the claim that two Clubs produces the same “Spring like effect”.


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