Answer:
[tex](a)[/tex] [tex]P(M\ or\ P\ or\ C) = 1.307[/tex]
(b) See Explanation
Step-by-step explanation:
Given
[tex]P = 312[/tex] ---- Professionals,
[tex]M = 470[/tex] ----- Married persons,
[tex]C = 525[/tex] ---- College graduates,
[tex]PCG = 42[/tex] ----- Professional college graduates,
[tex]MCG = 147[/tex] ----- Married college graduates,
[tex]MP = 86[/tex] ---- Married professionals,
[tex]MPCG = 25[/tex] ---- Married professional college graduates
[tex]Total =1000[/tex]
Solving (a): P(M or P or C)
This is calculated as:
[tex]P(M\ or\ P\ or\ C) = P(M) + P(P) + P(C)[/tex]
[tex]P(M\ or\ P\ or\ C) = \frac{n(M) + n(P) + n(C)}{Total}[/tex]
[tex]P(M\ or\ P\ or\ C) = \frac{470 + 525 + 312}{1000}[/tex]
[tex]P(M\ or\ P\ or\ C) = \frac{1307}{1000}[/tex]
[tex]P(M\ or\ P\ or\ C) = 1.307[/tex]
(b) In probabilities, the probability of an event or collection of events must not exceed 1 and must not go below 0.
In (a) above, the calculated probability exceeds 1.
Because of this single reason, the collected data is incorrect