In: Statistics and Probability
There are 2 different questions, and the data table is below each question. Please answers them all
Uses Drug |
Does not Use Drug |
Total |
|
Test + |
198 |
196 |
394 |
Test - |
2 |
9604 |
9606 |
Total |
200 |
9800 |
10000 |
2. Refer to the table below “Undergraduate Grade Record by Student Characteristic” to answer this question
Student characteristic |
C's and D's or lower |
B's and C's |
Mostly B's |
A's and B's |
Mostly A's |
||
Gender |
Men |
38.8% |
16.6% |
22.6% |
9.6% |
12.4% |
|
Women |
29.4% |
16.2% |
26.2% |
12.0% |
16.2% |
||
Class Level |
Graduating Senior |
15.8% |
21.9% |
34.5% |
14.7% |
13.0% |
|
All othe class levels |
35.4% |
15.8% |
23.6% |
10.5% |
14.7% |
||
Age |
18 or younger |
42.6% |
14.7% |
23.4% |
9.4% |
10.0% |
|
19-23 |
38.1% |
19.0% |
25.1% |
9.4% |
8.3% |
||
24-29 |
33.3% |
16.9% |
24.7% |
10.3% |
14.9% |
||
30-39 |
23.1% |
13.2% |
25.9% |
14.8% |
23.0% |
||
40 and older |
20.1% |
10.1% |
22.0% |
14.8% |
33.0% |
1.
(a)
Specificity of the test is given by
Sensitivity of the test is given by
PPV of the test is given by
NPV of the test is given by
(b)
Prevalence of drug is given by
(c)
Positive predictive value is only 0.5025381 which means 50.25% of the positive results shown by this test are actually positive. So, we cannot trust a positive result for this test.
(d)
Negative predictive value is only 0.9997918 which means 99.98% of the negative results shown by this test are actually negative. So, we can trust a negative result for this test.
(e)
Only those with a negative test were allowed. Specificity of the test is 98% i.e. higher enough. So, in this procedure 98% of people who do not use the drug are allowed for positions after screening. Thus this is fair enough.