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MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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How would I find the p value for question 24

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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