Homework Help is Here – Start Your Trial Now!
Math
Statistics
Teaching Assistant #1 Teaching Assistant #2 Professor Teaching Assistant #1 0.32 1 0.40 ased on the correlation table, the professor should arrive at which of the following conclusions? The professor and TA #2 are well calibrated, but TA #1 is off. The professor and both of his TAS are well calibrated. O The two TAs are well calibrated with each other but not with the professor. O The professor and TA #1 are well calibrated, but TA #2 is off. he professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to cores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scores the correlation between the professor's scores and TA #1's and TA #2's scores. ill

Teaching Assistant #1 Teaching Assistant #2 Professor Teaching Assistant #1 0.32 1 0.40 ased on the correlation table, the professor should arrive at which of the following conclusions? The professor and TA #2 are well calibrated, but TA #1 is off. The professor and both of his TAS are well calibrated. O The two TAs are well calibrated with each other but not with the professor. O The professor and TA #1 are well calibrated, but TA #2 is off. he professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to cores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scores the correlation between the professor's scores and TA #1's and TA #2's scores. ill

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
The professor constructed a table of correlation coefficients between his scores and those of his TAS. Select the correct missing correlation. Teaching Assistant #1 Teaching Assistant #2 Professor Teaching Assistant #1 0.32 1 0.40 Based on the correlation table, the professor should arrive at which of the following conclusions? The professor and TA #2 are well calibrated, but TA #1 is off. The professor and both of his TAs are well calibrated. The two TAs are well calibrated with each other but not with the professor. The professor and TA #1 are well calibrated, but TA #2 is off. The professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to z- scores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scores will the correlation between the professor's scores and TA #1's and TA #2's scores.
Transcribed Image Text:The professor constructed a table of correlation coefficients between his scores and those of his TAS. Select the correct missing correlation. Teaching Assistant #1 Teaching Assistant #2 Professor Teaching Assistant #1 0.32 1 0.40 Based on the correlation table, the professor should arrive at which of the following conclusions? The professor and TA #2 are well calibrated, but TA #1 is off. The professor and both of his TAs are well calibrated. The two TAs are well calibrated with each other but not with the professor. The professor and TA #1 are well calibrated, but TA #2 is off. The professor thinks he tends to be a harsh grader and decides to multiply the grades he gave each student by 1.05 before converting the scores to z- scores and computing the Pearson correlation coefficient between his grades and the two teaching assistants'. This change in the professor's scores will the correlation between the professor's scores and TA #1's and TA #2's scores.
Imagine that a professor of anthropology has two teaching assistants (TAS) who will help him grade assignments for the duration of the semester. The professor wants to make sure that he and the TAs are well calibrated with one another, so he has all three of them grade the first assignment independently. Because the professor grades every assignment on a curve, he first converts the students' scores to z-scores for each grader. The following table shows the z-scores for a population of 10 students in his class for each grader. Student 1 Student 2 Student 3 Student 4 Student 5 Student 6 Student 7 Student 8 Student 9 Student 10 Professor 1.27 -1.63 -0.12 0.88 -1.03 0.32 -1.46 1.14 0.58 0.06 Teaching Assistant #1 Teaching Assistant #2 1.27 -0.60 0.38 0.78 -1.27 0.11 -2.17 0.83 0.47 0.20 0.63 0.85 -0.94 2.20 -0.51 0.45 -0.99 0.02 -0.51 -1.21 The professor is going to use the z-scores to calculate the correlation coefficient between his scores and those of his TAS. To calculate the correlation coefficient, he sums the products of the z-scores. The professor should divide this sum by
Transcribed Image Text:Imagine that a professor of anthropology has two teaching assistants (TAS) who will help him grade assignments for the duration of the semester. The professor wants to make sure that he and the TAs are well calibrated with one another, so he has all three of them grade the first assignment independently. Because the professor grades every assignment on a curve, he first converts the students' scores to z-scores for each grader. The following table shows the z-scores for a population of 10 students in his class for each grader. Student 1 Student 2 Student 3 Student 4 Student 5 Student 6 Student 7 Student 8 Student 9 Student 10 Professor 1.27 -1.63 -0.12 0.88 -1.03 0.32 -1.46 1.14 0.58 0.06 Teaching Assistant #1 Teaching Assistant #2 1.27 -0.60 0.38 0.78 -1.27 0.11 -2.17 0.83 0.47 0.20 0.63 0.85 -0.94 2.20 -0.51 0.45 -0.99 0.02 -0.51 -1.21 The professor is going to use the z-scores to calculate the correlation coefficient between his scores and those of his TAS. To calculate the correlation coefficient, he sums the products of the z-scores. The professor should divide this sum by
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 2 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS