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19. A campaign team for a candidate running for local office uses a random survey. They are interested in using a hypothesis test to see if there is strong evidence that their candidate will obtain more than 50% of the vote and win the election. Which of the following descriptions would represent a Type I error? d) e) a) b) c) The campaign team rejects the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team fails to reject the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. The campaign team fails to reject the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team rejects the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. It is impossible to make a Type I error in this situation. (b 88

19. A campaign team for a candidate running for local office uses a random survey. They are interested in using a hypothesis test to see if there is strong evidence that their candidate will obtain more than 50% of the vote and win the election. Which of the following descriptions would represent a Type I error? d) e) a) b) c) The campaign team rejects the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team fails to reject the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. The campaign team fails to reject the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team rejects the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. It is impossible to make a Type I error in this situation. (b 88

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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19. A campaign team for a candidate running for local office uses a random survey. They are interested in using a hypothesis test to see if there is strong evidence that their candidate will obtain more than 50% of the vote and win the election. Which of the following descriptions would represent a Type I error? d) e) a) b) c) The campaign team rejects the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team fails to reject the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. The campaign team fails to reject the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team rejects the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. It is impossible to make a Type I error in this situation. (b 88<q H
Transcribed Image Text:19. A campaign team for a candidate running for local office uses a random survey. They are interested in using a hypothesis test to see if there is strong evidence that their candidate will obtain more than 50% of the vote and win the election. Which of the following descriptions would represent a Type I error? d) e) a) b) c) The campaign team rejects the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team fails to reject the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. The campaign team fails to reject the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team rejects the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. It is impossible to make a Type I error in this situation. (b 88<q H
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