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Question 22-26: Use the following scenario to answer the questions that follow. On Airline A, 151 out of n = 700 airplanes arrive late. On Airline B, 87 out of m₂ = 500 airplanes arrive late. Does this provide enough evidence at a 1% significance level that the percent of late arrivals is different for the two airlines (i.e. that p₁ # P2)? 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 23. Calculate the test statistic. Write the formulas with the correct values inserted. 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 25. Make a decision. 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines?

Question 22-26: Use the following scenario to answer the questions that follow. On Airline A, 151 out of n = 700 airplanes arrive late. On Airline B, 87 out of m₂ = 500 airplanes arrive late. Does this provide enough evidence at a 1% significance level that the percent of late arrivals is different for the two airlines (i.e. that p₁ # P2)? 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 23. Calculate the test statistic. Write the formulas with the correct values inserted. 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 25. Make a decision. 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines?

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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Question 26
Alt Question 22-26: Use the following scenario to answer the questions that follow. On Airline A, 151 out of n₁ = 700 airplanes arrive late. On Airline B, 87 out of n2 = 500 airplanes arrive late. Does this provide enough evidence at a 1% significance level that the percent of late arrivals is different for the two airlines (i.e. that pi # P2)? 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 23. Calculate the test statistic. Write the formulas with the correct values inserted. 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 25. Make a decision. 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines?
Transcribed Image Text:Alt Question 22-26: Use the following scenario to answer the questions that follow. On Airline A, 151 out of n₁ = 700 airplanes arrive late. On Airline B, 87 out of n2 = 500 airplanes arrive late. Does this provide enough evidence at a 1% significance level that the percent of late arrivals is different for the two airlines (i.e. that pi # P2)? 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 23. Calculate the test statistic. Write the formulas with the correct values inserted. 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 25. Make a decision. 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines?
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