Job Male Female Total
Faculty 110 10 120
Salaried staff 30 50 80
Hourly staff 60 40 100
Total 200 100 300
(A) P(Male) = 200/300 = 0.6667
(B) P(Male & Salaried) = 30/300 = 0.1
(C) P(Female/Salaried) = P(Female & Salaried)/P(Salaried) = 50/80 = 0.625
(D) P(Female OR Faculty) = P(Female) + P(Faculty) - P(Female & Faculty)
= 100/300 + 120/300 - 10/300
= 0.3333 + 0.4 - 0.0333
= 0.7
(E) P(Female OR Hourly staff) = P(Female) + P(Hourly staff) - P(Female & Hourly staff)
= 100/300 + 100/300 - 40/300
= 0.3333 + 0.3333 - 0.0.1333
= 0.53333
(F) P(Hourly staff/Female) = P(Hourly staff & Female)?P(Female) = 40/100 = 0.4
(G) P(Faculty) = 120/300 = 0.4
(H) Gender & Type of job:
P(Male) = 200/300 = 0.6667
P(Faculty) = 120/300 = 0.4
So,
P(Male) X P(Faculty) = 0.6667 X 0.4 = 0.2667
But, P(Male & Faculty) = 110/300 = 0.3667
So, Gender & Type of job are dependent.
FIRST 4 QUESTIONS ARE ANSWERED AS PER DIRETIONS FOR ANSWERING.
7. Employees of a local university have been classified according to gender and job type as shown below Sex Job Facult...
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