* 23. Calculate the test statistic. Write the formulas with the correct values inserted. P1-P2 P= 151 x' -.2157 700 2= √₁ (1-P) ( = 1 + 1/2) P₂ = x2 n₂ .2157 - 0.174 10.1983 (1-0.1983) (-700 +500) 87 500- 0.174 0.0417 x¹ + x2 ni+na 251 +8 700 + p-238 1200 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value.

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Chapter1: Starting With Matlab
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Can you help with 23 and 24. My professor is getting a z score of 1.81 and the people on here are getting 2.58 my professor is also getting a p value of 0.09 and I need help understanding please
mead.
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)?
·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.
pr
151
P1-P2
-.2157
√ ₁ (1-P) ( = 1 + 1/2) P₂ = x2
2=
.2157 - 0.174
V0.1993 (1-0.1983) (+500 +500)
25. Make a decision.
Accept null
100
-2.58
87
500 - 0.174
0.0417
x¹ + x2
ni+na
24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find
the p-value.
-2.58
12.58
951+87
700 +500
p=238 -0.1983
1200
26. Based on your decision, can you conclude the percent of late arrivals is different for the
two airlines?
Transcribed Image Text:mead. 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)? ·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. pr 151 P1-P2 -.2157 √ ₁ (1-P) ( = 1 + 1/2) P₂ = x2 2= .2157 - 0.174 V0.1993 (1-0.1983) (+500 +500) 25. Make a decision. Accept null 100 -2.58 87 500 - 0.174 0.0417 x¹ + x2 ni+na 24. Sketch the bell curve showing the test statistic and the tail(s) it cuts off. Use this to find the p-value. -2.58 12.58 951+87 700 +500 p=238 -0.1983 1200 26. Based on your decision, can you conclude the percent of late arrivals is different for the two airlines?
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