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Aside from looking at how high or how low the class standings are, Prof. Juan is also inte knowing if student performance varies significantly. This is not necessarily a bad indicator variation in student performance may reflect the discriminatory ability of course assessment past (face-to-face set-up), it is common to encounter some extreme class standings and disp the scores. Prof. Juan thinks this is not the case now and that the variance of class standing than the usual, 100 squared points. Below is the R Commander output to help clarify Pro hypothesis. R COMMANDE R OUTRUT

Aside from looking at how high or how low the class standings are, Prof. Juan is also inte knowing if student performance varies significantly. This is not necessarily a bad indicator variation in student performance may reflect the discriminatory ability of course assessment past (face-to-face set-up), it is common to encounter some extreme class standings and disp the scores. Prof. Juan thinks this is not the case now and that the variance of class standing than the usual, 100 squared points. Below is the R Commander output to help clarify Pro hypothesis. R COMMANDE R OUTRUT

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 30PPS
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Aside from looking at how high or how low the class standings are, Prof. Juan is also interested in knowing if student performance varies significantly. This is not necessarily a bad indicator. In fact, variation in student performance may reflect the discriminatory ability of course assessments. In the past (face-to-face set-up), it is common to encounter some extreme class standings and disparities in the scores. Prof. Juan thinks this is not the case now and that the variance of class standings is less than the usual, 100 squared points. Below is the R Commander output to help clarify Prof. Juan's hypothesis. R COMMANDER OUTPUT One sample Chi-squared test for variance data: CLASS STDG X-squared = alternative hypothesis: true variance is less than 100 7.7585, df = 49, p-value = 2.095e-12
Transcribed Image Text:Aside from looking at how high or how low the class standings are, Prof. Juan is also interested in knowing if student performance varies significantly. This is not necessarily a bad indicator. In fact, variation in student performance may reflect the discriminatory ability of course assessments. In the past (face-to-face set-up), it is common to encounter some extreme class standings and disparities in the scores. Prof. Juan thinks this is not the case now and that the variance of class standings is less than the usual, 100 squared points. Below is the R Commander output to help clarify Prof. Juan's hypothesis. R COMMANDER OUTPUT One sample Chi-squared test for variance data: CLASS STDG X-squared = alternative hypothesis: true variance is less than 100 7.7585, df = 49, p-value = 2.095e-12
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