10 11 1 point Problem 2d) A different claim is made that the average traffic flow past the school is less 9000 cars/day. Based on this claim, what is the calculated p-value, using the normal distribution. 0.977 0.186 0.814 0.0228 1 point Problem 2e) Based on the results of the hypothesis test from 2d, and given a significance of 0.05, we should fail to reject the null. The data do not support the claim that the average traffic flow is less than 9000 cars/day. reject the null in favor of the alternative. The average traffic flow is less than 9000 cars/day. 12 1 point Problem 3. Looking at the midterm grades for one of my courses, I have the following data for 2 separate sections: Section Section 1 Section 2 Problem 3a) Students Enrolled 35 31 Average Grade 65.9 54.9 Standard Deviation 21.4 22.9 I write the following hypotheses that I wish to test: Họ : A = 65 Η : μ # 65 Which of the following best describes what these hypotheses indicate? I wish to test the claim that the average grade on the exam is usually 65 and these results indicate otherwise. I wish to test the claim that the average grade on this exam is not 65 because usually it is. I wish to test the claim that the average grade on this exam is 65 because usually it is some other value. I wish to test the claim that section 2 scored worse on the exam than section 1.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Question
10
11
1 point
Problem 2d)
A different claim is made that the average traffic flow past the school is less 9000 cars/day. Based on this claim, what is the calculated p-value, using the normal distribution.
0.977
0.186
0.814
0.0228
1 point
Problem 2e)
Based on the results of the hypothesis test from 2d, and given a significance of 0.05, we should
fail to reject the null. The data do not support the claim that the average traffic flow is less than 9000 cars/day.
reject the null in favor of the alternative. The average traffic flow is less than 9000 cars/day.
12 1 point
Problem 3.
Looking at the midterm grades for one of my courses, I have the following data for 2 separate sections:
Section
Section 1
Section 2
Problem 3a)
Students Enrolled
35
31
Average Grade
65.9
54.9
Standard Deviation
21.4
22.9
I write the following hypotheses that I wish to test:
Họ : A = 65
Η : μ # 65
Which of the following best describes what these hypotheses indicate?
I wish to test the claim that the average grade on the exam is usually 65 and these results indicate otherwise.
I wish to test the claim that the average grade on this exam is not 65 because usually it is.
I wish to test the claim that the average grade on this exam is 65 because usually it is some other value.
I wish to test the claim that section 2 scored worse on the exam than section 1.
Transcribed Image Text:10 11 1 point Problem 2d) A different claim is made that the average traffic flow past the school is less 9000 cars/day. Based on this claim, what is the calculated p-value, using the normal distribution. 0.977 0.186 0.814 0.0228 1 point Problem 2e) Based on the results of the hypothesis test from 2d, and given a significance of 0.05, we should fail to reject the null. The data do not support the claim that the average traffic flow is less than 9000 cars/day. reject the null in favor of the alternative. The average traffic flow is less than 9000 cars/day. 12 1 point Problem 3. Looking at the midterm grades for one of my courses, I have the following data for 2 separate sections: Section Section 1 Section 2 Problem 3a) Students Enrolled 35 31 Average Grade 65.9 54.9 Standard Deviation 21.4 22.9 I write the following hypotheses that I wish to test: Họ : A = 65 Η : μ # 65 Which of the following best describes what these hypotheses indicate? I wish to test the claim that the average grade on the exam is usually 65 and these results indicate otherwise. I wish to test the claim that the average grade on this exam is not 65 because usually it is. I wish to test the claim that the average grade on this exam is 65 because usually it is some other value. I wish to test the claim that section 2 scored worse on the exam than section 1.
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