A golf club manufacturer claims that golfers can lower their scores by using the manufacturer's newly designed golf clubs. Eight golfers are randomly selected and each is asked to give his or her most recent score. After using the new clubs for one month, the golfers are asked again to give their most recent score. The scores for each golfer are given in the table below. Is there enough evidence to support the manufacturer's claim? Let d=(golf score after using the newly designed golf clubs)−(golf score before using the newly designed golf clubs)
A golf club manufacturer claims that golfers can lower their scores by using the manufacturer's newly designed golf clubs. Eight golfers are randomly selected and each is asked to give his or her most recent score. After using the new clubs for one month, the golfers are asked again to give their most recent score. The scores for each golfer are given in the table below. Is there enough evidence to support the manufacturer's claim?
Let d=(golf score after using the newly designed golf clubs)−(golf score before using the newly designed golf clubs). Use a significance level of α=0.05 for the test. Assume that the scores are
![A golf club manufacturer claims that golfers can lower their scores by using the manufacturer's newly designed golf clubs. Eight golfers
are randomly selected and each is asked to give his or her most recent score. After using the new clubs for one month, the golfers are
asked again to give their most recent score. The scores for each golfer are given in the table below. Is there enough evidence to support
the manufacturer's claim?
Let d = (golf score after using the newly designed golf clubs)-(golf score before using the newly designed golf clubs). Use a
significance level of a = 0.05 for the test. Assume that the scores are normally distributed for the population of golfers both before and
after using the newly designed clubs.
Golfer
Score (old design) 87 81 79 87 82 89 92 95
Score (new design) 81 83 72 85
84 83 91 92
Step 1 of 5: State the null and alternative hypotheses for the test.
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