[5](18) In a presidential election, 308 out of 611 voters surveyed said that they voted for the candidate who won (based on data from ICR Survey Research Group). Using a 0.01 significance level, we want to test the claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43%%, which is the actual percentage of voters for the winning candidate. a) What are the null hypothesis and alternative hypothesis? Ho: H1: b) Select the distribution (Z-distribution or /-distribution) to use. Explain briefly why you selected it. c) Determine the rejection and non-rejection regions based on your hypotheses in (a). State the critical value(s). Critical value(s) =d) Calculate the value of the test statistic. e) Based on the results of (c) and (d), what do they suggest about claim that among all voters, the percentage who believe that they voted for the winning candidate is equal to 43%? Explain your conclusion in words. f) Based on these results, does it appear that accurate voting results can be obtained by asking voters how they voted