1. Within the context of screening test evaluation: į. Pr(X= + | Y = +) and Pr(X= -|Y = -) are the sensitivity and specificity, respectively. ii. Pr(Y = +|X= +) and Pr(Y= -|X= -) are called the positive predictivity and negative predictivity. Given the data set below, compute the following. Tuberculosis (Y) Х-гау (X) No (-) Yes (+) Total Negative (-) 2,350 20 2,370 Positive (+) 120 55 175 Total 2,470 75 2,545 a. Sensitivity b. Specificity c. Positive predictivity

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1. Within the context of screening test evaluation:
į. Pr(X = + | Y = +) and Pr(X = - |Y = -) are the sensitivity and specificity,
respectively.
ii. Pr(Y = +|X= +) and Pr(Y = -|X = -) are called the positive predictivity and
negative predictivity.
Given the data set below, compute the following.
Tuberculosis (Y)
Х-гаy (X)
No (-)
Yes (+)
Total
Negative (-)
2,350
20
2,370
Positive (+)
120
55
175
Total
2,470
75
2,545
a. Sensitivity
b. Specificity
.c. Positive predictivity
d. Negative predictivity
Transcribed Image Text:1. Within the context of screening test evaluation: į. Pr(X = + | Y = +) and Pr(X = - |Y = -) are the sensitivity and specificity, respectively. ii. Pr(Y = +|X= +) and Pr(Y = -|X = -) are called the positive predictivity and negative predictivity. Given the data set below, compute the following. Tuberculosis (Y) Х-гаy (X) No (-) Yes (+) Total Negative (-) 2,350 20 2,370 Positive (+) 120 55 175 Total 2,470 75 2,545 a. Sensitivity b. Specificity .c. Positive predictivity d. Negative predictivity
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