1 Developing the null and alternative hypotheses Type I and

1. Developing the null and alternative hypotheses, Type I and II errors, interpreting p Aa Aa values Campaign officials for a presidential candidate claim that their candidate has the support of a majority of the electorat To test this, the Quinnipiac Polling Institute formulates the alternative hypothesis as: O The proportion of the electorate that supports the candidate is greater than o.5 O The proportion of the electorate that supports the candidate is equal to o.s O The proportion of the electorate that supports the candidate is less than 0.5. O The proportion of the electorate that supports the candidate is greater than or equal to o.5. The Quinnipiac Polling Institute commits a Type II error if it concludes that: O The campaign\'s claim is supported when it is actually incorrect. The campaign\'s claim is incorrect when it is actually correct. Suppose that the Quinnipiac Polling Institute conducts the hypothesis test and uses the value of the test statistic to compute a p-value for the test. The p-value is 0.12. Using the guidelines suggested by statisticians for Interpreting small p-values, the sample data provide evidence against the null hypothesis. Grade It Now

Solution

Alternative hypothesis H1: support of electorate<0.5.

Therefore the third option is correct.

So the sample data provide no evidence against the null hypothesis.