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 ​% of the vote in the​ sample, that candidate will be forecast as the winner of the election. You select a random sample of voters. Complete parts​ (a) through​ (c) below. Question content area bottom Part 1 a. What is the probability that a candidate will be forecast as the winner when the population percentage of her vote is ​%? The probability is    0.2177 that a candidate will be forecast as the winner when the population percentage of her vote is ​%. ​(Round to four decimal places as​ needed.) Part 2 b. What is the probability that a candidate will be forecast as the winner when the population percentage of her vote is ​%? The probability is    enter your response here that a candidate will be forecast as the winner when the population percentage of her vote is ​%. ​(Round to four decimal places as​ needed.)

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 54%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. 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 isthat a candidate will be forecast as the winner when the popuio percentage of her vote is50.1%. Choose the correct answer below. A. Increasing the sample size by a factor of 4 increases the standard error by a factor of 2. Changing the standard error doubles the magnitude of the standardized​ Z-value. B. Increasing the sample size by a factor of 4 decreases the standard error by a factor of 2. Changing the standard error doubles the magnitude of the standardized​ Z-value. C. Increasing the sample size by a factor of 4 increases the standard error by a factor of 2. Changing the standard error decreases the standardized​ Z-value to half of its original value. D. Increasing the sample size by a factor of 4 decreases the standard error by a factor of 2. Changing the standard error decreases the standardized​ Z-value to half of its original value.

In a recent school election at a large school we know that 45% of the students supported candidate X and the other 55% supported candidate Y. Assume everyone has a strong opinion about one candidate or the other.If we select 2 students at random, what is the probability that they both support candidate X? 0 0.2025 0.6975 0.90

A political polling agency wants to take a random sample of registered voters and ask whether or not they will vote for a certain candidate. One plan is to select 400 voters, another plan is select 1,600 voters.Which of the following is true regarding the sample proportion p̂ of "yes" responses? The sample proportion from the sample of 400 is more likely to be close to the true population proportion, p. The sample proportion from sample of 1,600 is more likely to be close to the true population proportion, p. The sample proportion in either proposal is equally likely to be close to the true population proportion, p, since the sampling is random.

In an election between two candidates, the winning candidate got 70% of the valid votes and won by a majority of 9000 votes. If out of total votes polled 90% votes are valid, then what is the total number of votes polled?22000250001800020000Add Attachments

The following is a table showing the results of a poll taken on campus. Will You Vote in the Upcoming Election?Male FemaleYes 30304444No 26262424Not decided 28283636 What is the probability that a randomly selected student from this poll is malemale or has not decided whether tohas not decided whether to vote in the upcoming election? Express your answer as a fraction in lowest terms or a decimal rounded to the nearest millionth.