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m₂ SE=√√0.215 SE= 0.2157(1-0.2157) + 274(1--17400 700 500 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value.

m₂ SE=√√0.215 SE= 0.2157(1-0.2157) + 274(1--17400 700 500 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value.

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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How would I find the p value for question 24
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 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)? .005 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 2 tailed test * Ho: P₁ P₂ = 0 Ha: P₁ - P₂ = 0 23. Calculate the test statistic. Write the formulas with the correct values inserted. -2= 0.0417- 151 2157 x¹ + x2 nitra 2= (P₁-P₂-¹6) SE 2=(2157-174-01 0.023 SE=√P₁1-₁) + P₂(1+P₂) Oni 5E₁-62-6²²—²) =1-91 25. Make a decision. Accepi - X rull P= ni P₂ = x2 700 87 500 - 0.174 -1.79 951+87 SE= U.2157(1-0.2151) + 47+(1--174100 700 500 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 700 +500 p-238 1200 =0.1983 142 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines? Ay
Transcribed Image Text: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 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)? .005 22. State the hypotheses. Use the correction notation. Indicate whether the test will be a left-tail, right-tail, or two-tail test. 2 tailed test * Ho: P₁ P₂ = 0 Ha: P₁ - P₂ = 0 23. Calculate the test statistic. Write the formulas with the correct values inserted. -2= 0.0417- 151 2157 x¹ + x2 nitra 2= (P₁-P₂-¹6) SE 2=(2157-174-01 0.023 SE=√P₁1-₁) + P₂(1+P₂) Oni 5E₁-62-6²²—²) =1-91 25. Make a decision. Accepi - X rull P= ni P₂ = x2 700 87 500 - 0.174 -1.79 951+87 SE= U.2157(1-0.2151) + 47+(1--174100 700 500 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. 700 +500 p-238 1200 =0.1983 142 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines? Ay
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