A golf association requires that golf balls have a diameter that is 1.68 inches. To determine if golf balls conform to the standard, a random sample of golf balls was selected. Their diameters are shown in the accompanying data table. Do the golf balls conform to the standards? Use the alphaα equals=0.01 level of significance.
First determine the appropriate hypotheses.
Upper H0:
▼
sigmaσ
muμ
pp
▼
not equals≠
equals=
greater than>
less than<
nothing
Upper H1:
▼
muμ
sigmaσ
pp
▼
not equals≠
less than<
equals=
greater than>
nothing
It is given that the golf association requires that golf balls have a diameter that is 1.68 inches.
So,we can write population mean = = 1.68
Now, we have to check whether golf balls conform to the standard, i.e. whether it is equal to 1.68 inches or not.
So, it is clearly a two tailed hypothesis testing because we are interested in testing whether it is equal to 1.68 or not, means either less than or greater than 1.68.
For null hypothesis, we assume that the diameter of golf balls is equal to 1.68 inches and for alternate hypothesis, we assume that the diameter of golf balls is not equal to 1.68 inches
Mathematically, we can write these hypotheses as
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