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the mayor of a town has proposed a plan for the annexation of a new community. a political study took a sample of 800 voters in the town and found that 63% of the residents favored annexation. using the data, a political strategist wants to test the claim that the percentage of residents who favor annexation is more than 60%. testing at the 0.02 level, is there enough evidence to support the strategist's claim? step 4 of 7 : determine the p-value of the test statistic. round your answer to four decimal places.

Sagot :

As per the concept of hypothesis testing, the p-value of the test static is  0.0837

Hypothesis testing:

In statistics, when the alternative hypothesis is of the "greater than or greater than or equal to" type, the p-value can be calculated by calculating the probability of the z statistic being greater than the test statistic value.

Given,

Here we have the mayor of a town has proposed a plan for the annexation of a new community. and the political study took a sample of 800 voters in the town and found that 63% of the residents favored annexation. using the data, a political strategist wants to test the claim that the percentage of residents who favor annexation is more than 60%. testing at the 0.02 level.

Here we need to find the p-value of the test statistic.

While we looking into the given question we have identified the following hypothesis,

=> H0 : p <=0.6

=> H1: p > 0.6

And the value of alpha=0.02 p{reject H0 | H0 true} test statistic is a z from a 1 way 1 proportion test

So, the z value is z> 7.1286

Then the z value is calculated as,

=> 0.03/sqrt(0.6*0.63/800)

=> z = 1.3801

Therefore, the reject H0, the true proportion is greater than 60% and the p-value is 0.0837

To know more about hypothesis testing here.

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