According to an exit poll for an election, 54.3% of the sample size of 812 reported voting for a specific candidate. Is this enough evidence to predict who won? Test that the population proportion who voted for this candidate was 0.50 against the alternative that it differed from 0.50. Complete parts a through d below. a. Identify the variable and parameter, and define notation. hat is the variable? O A. The variable is whether or not any given person voted for the candidate. O B. The variable is the number of voters that voted for the candidate. O C. The variable is the sample proportion of votes for the candidate. O D. The variable is the population proportion of votes for the candidate. What is the parameter? O A. The parameter is the population proportion of votes for the candidate. O B. The parameter is whether or not any given person voted for the candidate. O C. The parameter is the number of voters that voted for the candidate O D. The parameter is the sample proportion of votes for the candidate. Define the notation for the parameter. O A. p = the number of voters that voted for the candidate O B. p= population proportion of voters that voted for the candidate O C. p= sample proportion of votes for the candidate O D. p = the number of voters that did not vote for the candidateb. State the hypotheses and check the assumptions for a largesample test. Choose the correct answer below 0 A. \"03 p= 0.5!]; Ha: p 0.50 The assumptions for a largesample test are not met 0 B. \"0- p: 0.5!]; Ha; p 0.50 The assumptions for a largesample test are met. c. Report the test statistic and Pwralue and interpret the latter. 2 = [Round to two decimal places as needed.) Pvalue= {Round to three decimal places as needed.) Interpret the 3value. Choose the correct answer below. 0 A. Assuming that p = 50%, the probability of obtaining a sample proportion where either more than 54.3% or less than 451% of the voters voted for the candidate is equal to the P-value. O B. Assuming that p = 50%, the probability of obtaining a sample proportion where more than 54.3% of the voters voted for the candidate is equal to the Pevalue. O C. Assuming that p = 50%, the probability of obtaining a sample proportion where less than 451% of the voters voted for the candidate is equal to the Pvalue. O D. Assuming that p = 50%, the probability of obtaining a sample proportion where less than 54.3% of the voters voted for the candidate is equal to the Pvalue. d. Explain how to make a decision for the signicance level of 0.05. Is the proportion voting for the specic candidate signicantly different from 50%? O A. Since the Pvalue S 0.05, we can reject the null hypothesis. There is not sufcient evidence to conclude that the proportion voting for this candidate is different from 50%. O B. Since the Pvalue S 0.05, we cannot reject the null hypothesis. There is not sufcient evidence to conclude that the proportion voting for this candidate is different from 50%. O C. Since the Pvalue S 0.05, we can reject the null hypothesis. There is sufcient evidence to conclude that the proportion voting for this candidate is different from 50%. O D. Since the Pvalue > 0.05, we cannot reject the null hypothesis. There is sufcient evidence to conclude that the proportion voting for this candidate is dierent from 50%