* 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.
* 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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa7721344-0d13-44e5-9275-02f68f2c1c1a%2Ff3ebf8ad-31b8-4ffe-8c5c-7d0ea3742d6e%2Fcwmljmi_processed.jpeg&w=3840&q=75)
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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