(0) If the researcher decides to test this hypothesis at the a = 0.05 level of significance, will the researcher reject the null hypothesis? O No O Yes
(0) If the researcher decides to test this hypothesis at the a = 0.05 level of significance, will the researcher reject the null hypothesis? O No O Yes
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 3
Answer Part E only!!
![To test \( H_0: \mu = 107 \) versus \( H_1: \mu \neq 107 \) a simple random sample of size \( n = 35 \) is obtained. Complete parts a through e below.
*Click here to view the t-Distribution Area in Right Tail.*
---
**(c) Draw a t-distribution with the area that represents the P-value shaded. Choose the correct graph below.**
There are three graphs of t-distributions:
1. The first graph shows a left tail shaded in red.
2. The second graph shows a right tail shaded in red.
3. The third graph shows both tails shaded in red.
The correct graph is the third one, which illustrates a two-tailed test.
---
**(d) Approximate the P-value. Choose the correct answer below.**
A. \( 0.005 < P\text{-value} < 0.01 \)
B. \( 0.01 < P\text{-value} < 0.02 \)
C. \( 0.002 < P\text{-value} < 0.005 \)
D. \( 0.001 < P\text{-value} < 0.002 \)
---
**Interpret the P-value. Choose the correct answer below.**
A. If 1000 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 103.8 \).
B. If 1000 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
C. If 100 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
D. If 1000 random samples of size \( n = 35 \) are obtained, about 10 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
---
**(e) If the researcher decides to test this hypothesis at the \( \alpha = 0.05 \) level of significance, will the researcher](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1c1e1001-e949-4573-be36-b00de430b7d7%2Fac4e68e6-a968-4293-8d34-44ad582c1e31%2Fy8ks37j_processed.png&w=3840&q=75)
Transcribed Image Text:To test \( H_0: \mu = 107 \) versus \( H_1: \mu \neq 107 \) a simple random sample of size \( n = 35 \) is obtained. Complete parts a through e below.
*Click here to view the t-Distribution Area in Right Tail.*
---
**(c) Draw a t-distribution with the area that represents the P-value shaded. Choose the correct graph below.**
There are three graphs of t-distributions:
1. The first graph shows a left tail shaded in red.
2. The second graph shows a right tail shaded in red.
3. The third graph shows both tails shaded in red.
The correct graph is the third one, which illustrates a two-tailed test.
---
**(d) Approximate the P-value. Choose the correct answer below.**
A. \( 0.005 < P\text{-value} < 0.01 \)
B. \( 0.01 < P\text{-value} < 0.02 \)
C. \( 0.002 < P\text{-value} < 0.005 \)
D. \( 0.001 < P\text{-value} < 0.002 \)
---
**Interpret the P-value. Choose the correct answer below.**
A. If 1000 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 103.8 \).
B. If 1000 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
C. If 100 random samples of size \( n = 35 \) are obtained, about 3 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
D. If 1000 random samples of size \( n = 35 \) are obtained, about 10 samples are expected to result in a mean as extreme or more extreme than the one observed if \( \mu = 107 \).
---
**(e) If the researcher decides to test this hypothesis at the \( \alpha = 0.05 \) level of significance, will the researcher
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