L is 75, or 125? or is it about the same for BOUI! J. A teaching assistant gives a quiz with 10 questions and no part credit. After grading the papers, the TA writes down for each student the number of ques. tions the student got right and the number wrong. The average number of right answers is 6.4 with an SD of 2.0; the average number of wrong answers is 3.6 with the same SD of 2.0. The correlation between the number of right answers and the number of wrongs is -0.50 +0.50 -1 +1 can't tell without the data Explain. Figure for exercise 12 ...
L is 75, or 125? or is it about the same for BOUI! J. A teaching assistant gives a quiz with 10 questions and no part credit. After grading the papers, the TA writes down for each student the number of ques. tions the student got right and the number wrong. The average number of right answers is 6.4 with an SD of 2.0; the average number of wrong answers is 3.6 with the same SD of 2.0. The correlation between the number of right answers and the number of wrongs is -0.50 +0.50 -1 +1 can't tell without the data Explain. Figure for exercise 12 ...
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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Transcribed Image Text:### Quiz Scores Analysis
A teaching assistant gives a quiz consisting of 10 questions with no partial credit. After grading, the results are evaluated:
- **Right Answers:** The average number of right answers is 6.4 with a standard deviation (SD) of 2.0.
- **Wrong Answers:** The average number of wrong answers is 3.6 with an SD of 2.0.
The task is to determine the correlation between the number of right answers and the number wrong, choosing from the following options:
- \(-1\)
- \(-0.50\)
- \(+0.50\)
- \(+1\)
- \("can't tell without the data"\)
#### Scatter Plot Analysis
A scatter plot is provided (Figure for exercise 12). Each dot represents a student's performance, with right answers plotted against wrong answers.
Upon examination, one can analyze the dispersion and clustering of the data points to infer the nature of the correlation between right and wrong answers.
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