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
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 23PPS
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