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 Standard Deviation 54.9 21.4 22.9 I write the following hypotheses that I wish to test: Ho=65 HA: 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. Problem 3b) The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 2 Section 2 has a mean closer to 55 than 65 The mean score for Section 2 is not 65 The mean score for Section 2 might be 65. The data do not support the claim that the mean score is not 65. 14 1 point Problem 3c) The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 1 The data support a claim that the mean score is 65. The mean score for Section 1 is greater than the mean score for Section 2 The data do not support either the null or alternative hypotheses. The data do not support a claim that the mean score is different than 65. 15 1 point Problem 3d) A 90% 2-sided confidence interval around the data for Section 1 is closest to which of the following. Use a normal distribution. 65.91.96 65.95.9 65.97.1 65.9 3.6 16 1 point Problem 3e) A 90% 1-sided upper limit confidence interval for the mean of Section 2 is closest to which of the following. Use the t-distribution 60.2 17 1 point 65.0 61.9 49.5 Problem 3f) The two sections seem to have different scores, perhaps suggesting there is indeed a difference between them. The standard t-test, as discussed in class, could have hypotheses written as: He - 0 HA: 14-0 These hypotheses suggest which of the following claims is being made That Section 1 scored higher than Section 2. That Section 2 scored lower than Section 1. OThat the means of the two sections are indeed different. That the means of the two sections are identical. 18 1 point Problem 3g) If a 0.01 significance is considered, the results of a t-test on the means of the two sections indicate: p>0.01, therefore the claim that the 2 sections have different means is supported. P<0.01, therefore the 2 sections likely have the same mean P<0.01, therefore the claim that the 2 sections have different means is supported. Op>0.01, therefore the claim that the 2 sections have different means is not supported.
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 Standard Deviation 54.9 21.4 22.9 I write the following hypotheses that I wish to test: Ho=65 HA: 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. Problem 3b) The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 2 Section 2 has a mean closer to 55 than 65 The mean score for Section 2 is not 65 The mean score for Section 2 might be 65. The data do not support the claim that the mean score is not 65. 14 1 point Problem 3c) The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 1 The data support a claim that the mean score is 65. The mean score for Section 1 is greater than the mean score for Section 2 The data do not support either the null or alternative hypotheses. The data do not support a claim that the mean score is different than 65. 15 1 point Problem 3d) A 90% 2-sided confidence interval around the data for Section 1 is closest to which of the following. Use a normal distribution. 65.91.96 65.95.9 65.97.1 65.9 3.6 16 1 point Problem 3e) A 90% 1-sided upper limit confidence interval for the mean of Section 2 is closest to which of the following. Use the t-distribution 60.2 17 1 point 65.0 61.9 49.5 Problem 3f) The two sections seem to have different scores, perhaps suggesting there is indeed a difference between them. The standard t-test, as discussed in class, could have hypotheses written as: He - 0 HA: 14-0 These hypotheses suggest which of the following claims is being made That Section 1 scored higher than Section 2. That Section 2 scored lower than Section 1. OThat the means of the two sections are indeed different. That the means of the two sections are identical. 18 1 point Problem 3g) If a 0.01 significance is considered, the results of a t-test on the means of the two sections indicate: p>0.01, therefore the claim that the 2 sections have different means is supported. P<0.01, therefore the 2 sections likely have the same mean P<0.01, therefore the claim that the 2 sections have different means is supported. Op>0.01, therefore the claim that the 2 sections have different means is not supported.
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
Please tell me if they are all correct if not, please answer them correctly. It's homework
![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
Standard Deviation
54.9
21.4
22.9
I write the following hypotheses that I wish to test:
Ho=65
HA: 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.
Problem 3b)
The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 2
Section 2 has a mean closer to 55 than 65
The mean score for Section 2 is not 65
The mean score for Section 2 might be 65.
The data do not support the claim that the mean score is not 65.
14 1 point
Problem 3c)
The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 1
The data support a claim that the mean score is 65.
The mean score for Section 1 is greater than the mean score for Section 2
The data do not support either the null or alternative hypotheses.
The data do not support a claim that the mean score is different than 65.
15 1 point
Problem 3d)
A 90% 2-sided confidence interval around the data for Section 1 is closest to which of the following. Use a normal distribution.
65.91.96
65.95.9
65.97.1
65.9 3.6
16 1 point
Problem 3e)
A 90% 1-sided upper limit confidence interval for the mean of Section 2 is closest to which of the following. Use the t-distribution
60.2
17 1 point
65.0
61.9
49.5
Problem 3f)
The two sections seem to have different scores, perhaps suggesting there is indeed a difference between them. The standard t-test, as discussed in class, could have hypotheses
written as:
He
- 0
HA: 14-0
These hypotheses suggest which of the following claims is being made
That Section 1 scored higher than Section 2.
That Section 2 scored lower than Section 1.
OThat the means of the two sections are indeed different.
That the means of the two sections are identical.
18
1 point
Problem 3g)
If a 0.01 significance is considered, the results of a t-test on the means of the two sections indicate:
p>0.01, therefore the claim that the 2 sections have different means is supported.
P<0.01, therefore the 2 sections likely have the same mean
P<0.01, therefore the claim that the 2 sections have different means is supported.
Op>0.01, therefore the claim that the 2 sections have different means is not supported.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb882f2c3-bae6-4903-9777-53de43c46be9%2Fe4c5a675-fa66-46d2-88b7-3a9d39c6891a%2Fcyeydcy_processed.jpeg&w=3840&q=75)
Transcribed Image Text: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
Standard Deviation
54.9
21.4
22.9
I write the following hypotheses that I wish to test:
Ho=65
HA: 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.
Problem 3b)
The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 2
Section 2 has a mean closer to 55 than 65
The mean score for Section 2 is not 65
The mean score for Section 2 might be 65.
The data do not support the claim that the mean score is not 65.
14 1 point
Problem 3c)
The long term average on this midterm is 65. Based on hypothesis testing, and a significance of 0.01, I can say which of the following about Section 1
The data support a claim that the mean score is 65.
The mean score for Section 1 is greater than the mean score for Section 2
The data do not support either the null or alternative hypotheses.
The data do not support a claim that the mean score is different than 65.
15 1 point
Problem 3d)
A 90% 2-sided confidence interval around the data for Section 1 is closest to which of the following. Use a normal distribution.
65.91.96
65.95.9
65.97.1
65.9 3.6
16 1 point
Problem 3e)
A 90% 1-sided upper limit confidence interval for the mean of Section 2 is closest to which of the following. Use the t-distribution
60.2
17 1 point
65.0
61.9
49.5
Problem 3f)
The two sections seem to have different scores, perhaps suggesting there is indeed a difference between them. The standard t-test, as discussed in class, could have hypotheses
written as:
He
- 0
HA: 14-0
These hypotheses suggest which of the following claims is being made
That Section 1 scored higher than Section 2.
That Section 2 scored lower than Section 1.
OThat the means of the two sections are indeed different.
That the means of the two sections are identical.
18
1 point
Problem 3g)
If a 0.01 significance is considered, the results of a t-test on the means of the two sections indicate:
p>0.01, therefore the claim that the 2 sections have different means is supported.
P<0.01, therefore the 2 sections likely have the same mean
P<0.01, therefore the claim that the 2 sections have different means is supported.
Op>0.01, therefore the claim that the 2 sections have different means is not supported.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 12 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman