A political pollster is conducting an analysis of sample results in order to make predictions on election night. Assuming a two-candidate election, if a specific candidate receives at least 55% of the vote in the sample, that candidate will be forecast as the winner of the election. You select a random sample of 100 voters. Complete parts (a) through (c) below. a. that a candidate will be forecast as the winner when the population percentage of her vote is 50.1%. (Round to four decimal places as needed.) What is the probability that a candidate will be forecast as the winner when the population percentage of her vote is 50.1%? The probability is b. that a candidate will be forecast as the winner when the population percentage of her vote is 60%. (Round to four decimal places as needed.) What is the probability that a candidate will be forecast as the winner when the population percentage of her vote is 60%? The probability is C. What is the probability that a candidate will be forecast as the winner when the population percentage of her vote is 49% (and she will actually lose the election)? The probability is (Round to four decimal places as needed.) d. that a candidate will be forecast as the winner when the population percentage of her vote is 49%. Suppose that the sample size was increased to 400. Repeat process (a) through (c), using this new sample size. Comment on the difference. The probability is that a candidate will be forecast as the winner when the population percentage of her vote is 50.1%. (Round to four decimal places as needed.) The probability is that a candidate will be forecast as the winner when the population percentage of her vote is 60%. (Round to four decimal places as needed.) The probability is that a candidate will be forecast as the winner when the population percentage of her vote is 49%. (Round to four decimal places as needed.)