A new gasoline additive is supposed to make gas burn more cleanly and increase gas mileage in the process. Consumer Protection Anonymous conducted a mileage test to confirm this. They took a sample of their cars, filled it with regular gas, and drove it on l-94 until it was empty. They repeated the process using the same cars, but using the gas additive. Using the data they found, they performed a paired t-test with data calculated as (with additive - without additive) with the following hypotheses: Null Hypothesis: Hp s 0, Alternative Hypothesis: Hp > 0. If they calculate a p-value of 0.7755 in the paired samples t-test, what is the appropriate conclusion? 1) The average difference in gas mileage is less than or equal to 0. 2) We did not find enough evidence to say there was a significantly negative average difference in gas mileage. The additive does not appear be effective. The average difference in gas mileage is significantly larger than 0. The average gas mileage was higher with the additive. 4) We did not find enough evidence to say the average difference in gas mileage was not 0. The additive does not appear to have been effective. We did not find enough evidence to say there was a significantly positive 5)

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A new gasoline additive is supposed to make gas burn more cleanly and increase gas
mileage in the process. Consumer Protection Anonymous conducted a mileage test
to confirm this. They took a sample of their cars, filled it with regular gas, and drove
it on l-94 until it was empty. They repeated the process using the same cars, but
using the gas additive. Using the data they found, they performed a paired t-test
with data calculated as (with additive - without additive) with the following
hypotheses: Null Hypothesis: Hp s 0, Alternative Hypothesis: HD > 0. If they
calculate a p-value of 0.7755 in the paired samples t-test, what is the appropriate
conclusion?
1) The average difference in gas mileage is less than or equal to 0.
2) We did not find enough evidence to say there was a significantly negative
average difference in gas mileage. The additive does not appear be effective.
3)
The average difference in gas mileage is significantly larger than 0. The
average gas mileage was higher with the additive.
4)
We did not find enough evidence to say the average difference in gas mileage
was not 0. The additive does not appear to have been effective.
We did not find enough evidence to say there was a significantly positive
5)
average difference in gas mileage. The additive does not appear to be
effective.
Transcribed Image Text:A new gasoline additive is supposed to make gas burn more cleanly and increase gas mileage in the process. Consumer Protection Anonymous conducted a mileage test to confirm this. They took a sample of their cars, filled it with regular gas, and drove it on l-94 until it was empty. They repeated the process using the same cars, but using the gas additive. Using the data they found, they performed a paired t-test with data calculated as (with additive - without additive) with the following hypotheses: Null Hypothesis: Hp s 0, Alternative Hypothesis: HD > 0. If they calculate a p-value of 0.7755 in the paired samples t-test, what is the appropriate conclusion? 1) The average difference in gas mileage is less than or equal to 0. 2) We did not find enough evidence to say there was a significantly negative average difference in gas mileage. The additive does not appear be effective. 3) The average difference in gas mileage is significantly larger than 0. The average gas mileage was higher with the additive. 4) We did not find enough evidence to say the average difference in gas mileage was not 0. The additive does not appear to have been effective. We did not find enough evidence to say there was a significantly positive 5) average difference in gas mileage. The additive does not appear to be effective.
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