An economist studying fuel costs had a suspicion that the median price of gasoline in his state was more than $ 3 per gallon on any given day. On that day, he sampled 40 gas stations to test Ho: µ = $ 3 against H: µ> $ 3, where u is the mean price per gallon of gasoline that day in his state. The sample data had a mean of = $ 3.04 and a standard deviation of 8 = $ 0.39. These results produced a t-test statistic of 0.65 and a p-value of approximately 0.260. Assuming the conditions for the inference were met, what is an appropriate conclusion at the a = 0.01 level of significance?

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An economist studying fuel costs had a suspicion that the median price of gasoline in his state was more than $ 3 per gallon on any given day. On that day, he sampled 40 gas stations to test Ho: µ = $ 3 against H: µ> $ 3, where u is the mean price per gallon of gasoline that day in his state. The sample data had a mean of = $ 3.04 and a standard deviation of 8 = $ 0.39. These results produced a t-test statistic of 0.65 and a p-value of approximately 0.260. Assuming the conditions for the inference were met, what is an appropriate conclusion at the a = 0.01 level of significance?
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