In: Statistics and Probability
Use the table to answer the following question.
Male(M) | Female(F) | Total | |
Smoker(S) | 60 | 70 | |
Non-smoker(NS) | 40 | 50 | |
Total |
P(M) = P(S) =
P(M|S) = P(S|F) =
P(F or S) = P(F and NS) =
The table above summarizes the data on smokers and non-smokers and the proportion of them being either males or females.
We shall first total each row and each column. Doing so, we get:
Male (M) | Female (F) | TOTAL | |
Smokers (S) | 60 | 70 | 130 |
Non-smoker (NS) | 40 | 50 | 90 |
TOTAL | 100 | 120 | 220 |
P(M) refers to the proportion of the males in the total candidates and P(F) refers to the proportion of the females in the total candidates.
Hence, P(M) and P(F) becomes:
Next, we have to determine the probabilities P(M|S) and P(S|F). These are conditional probabilities.
A conditional probability P(A|B) is the probability of A and B divided by the probability of B.
Hence, the formula of P(A|B) is:
Now and refers to when both the events A and B are occurring. Therefore, we can now determine the desired probabilities. We get:
P(F or S) refers to the probability of either F or S occurring, This is depicted symbolically as:
Now these events are not independent. Hence, the probability of
this event can be determined using the formula as:
Substituting the values from the table, we get:
P(F and NS) refers to the event where both of these are occurring and hence refers to the cell that corresponds to both these events.
Therefore, the probability becomes: