4. At a college, 60 percent of the students are female and 35 percent of the students receive a grade of C. About 40 percent of the students are female and “not C” students. Use this contingency table.
Gender\Grade |
C |
Not C or C bar |
|
Female (F) |
0.40 |
0.60 |
|
Male (M) |
|||
0.35 |
If a randomly selected student is a “not C” student, what is the probability the student is a male student?
5. A and B are independent events. Moreover, P(A) = 0.8 and P(B) = 0.6. Determine P(A B), that is, P(A or B)
(4)
From the given data, the following Table iscalculated.
C | Not C | Total | |
Female (F) | 0.20 | 0.40 | 0.60 |
Male (M) | 0.15 | 0.25 | 0.40 |
Total | 0.35 | 0.65 | 1.00 |
P(Male/ Not C) = P (Male AND Not C)/ P(Not C)
= 0.25/0.65 = 0.3846
So,
Answer is:
0.3846
(5)
P(A or B) = P(A) + P(B) - P(A) P(B)
Substituting values, we get:
P(A or B) = 0.8 + 0.6 - (0.8 X 0.6)
= 0.92
So,
Answer is:
0.92
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