Suppose a study reports that the average price for a gallon of self-serve regular unleaded gasoline is $3.16. You believe that the figure is higher in your area of the country. You decide to test this claim for your part of the United States by randomly calling gasoline stations. Your random survey of 25 stations produces the following prices (all in dollars). Assume gasoline prices for a region are normally distributed. Did the data you obtained provide enough evidence to reject the claim?
Use a 1% level of significance.
Make sure you clearly state both the null and the alternative hypotheses in full sentences. Following your calculations, clearly state the conclusion in the same manner (do not simply say “accept/reject null”) and explain how you arrived at this conclusion (based on which metrics).
3.27
3.3
3.16
3.15
3.11
3.05
3.54
3.25
3.05
3.11
3.13
3.15
3.27
3.14
3.14
3.2
3.3
3.09
3.05
3.07
3.37
3.34
3.35
3.35
3.1
Ans: H0: Mean cost of a gallon of self-serve regular unleaded gasoline = $3.16. Ha: Mean cost of a gallon of self-serve regular unleaded gasoline ? $3.16. Sample mean of data = 3.1852 Sample standard deviation = 0.10251504 t = sample mean - average expected / s / SQRT(sample size) = 3.1852 - 3.16 / (0.10251504/ sqrt (25)) = 1.2291 p-value = (24 degrees of freedom, two tailed test, 0.01 level of confidence) = .8845 p-value is not < than .01, do not reject the null hypothesis => This data does not show that the average of a gallon of self-serve regular unleaded gasoline is statistically different than $3.16.
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A.
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