Apolice officer claims the proportion of drivers using cell phones while driving 35%. to test this claim, a random sample of drivers are monitored and checked if are using a cell phone while driving assume that the test statistic for this hypothesis test is −2.48. since this is a two tailed hypothesis test, assume that the critical values for this hypothesis test are −2.576 and 2.576. come to a decision for the hypothesis test and interpret your results with respect to the original claim

Let p be the population proportion of the drivers using cell phones while driving.

Given : A police officer claims the proportion of drivers using cell phones while driving 35%.

i.e.

To test this claim, a random sample of drivers are monitored and checked if are using a cell phone while driving.

Then, the appropriate hypothesis would be :-

∵ Alternative hypothesis is two-tailed , so the test is a two-tailed test.

Also, it is given that  the test statistic for this hypothesis test is −2.48.

Since this is a two tailed hypothesis test, assume that the critical values for this hypothesis test are −2.576 and 2.576.

Here, -2.576< -2.48< 2.576

So we failed to reject the null hypothesis .

Interpretation: We have sufficient evidence to support the claim that  proportion of drivers using cell phones while driving 35%.

it could be 1,3 and more others to create a cylinder.

step-by-step explanation: