The average gasoline price of one of the major oil companies has been hovering around $2.20 per gallon. Because of cost reduction measures, it is announced that there will be a significant reduction in the average price over the next month. In order to test this belief, we wait one month, then randomly select a sample of 36 of the company's gas stations. We find that the average price for the stations in the sample was $2.15. The standard deviation of the prices for the selected gas stations is $.10. Given that the test statistic for this sample is t = –3, determine the p-value.
(NOT USING EXCEL)
Solution :
= 2.20
=2.15
s =0.10
n = 36
This is the two tailed test .
The null and alternative hypothesis is ,
H0 : = 2.20
Ha : 2.20
Test statistic = t
= ( - ) / s / n
= (2.15 -2.20 ) / 0.10 / 36
= −3
Test statistic = t = −3
P-value =0.0049
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