Answer:
See explanation below
Step-by-step explanation:
An Estimator is unbiased if E(X) = p where E(X) is the expected value of X.
Remember that the Expected value of X is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values.
In this case, we have that:
E(X1) = n1p1 (since we have n1 male smokers with each of them with probability p1 of smoking)
E(X2) = n2p2 (since we have n2 female smokers with each of them with probability p2 of smoking)
So we have to prove that (X1/n1) - (X2/n2) is an unbiased estimator for p1 - p2.
This means that we have to prove (by definition) that
E(x1/n1)- E(x2/n2) = p1 - p2
[tex]E(x)= E(\frac{x1}{n1}) - E(\frac{x2}{n2})\\ =\frac{1}{n1}E(x1) -\frac{1}{n2}E(x2)[/tex]
But we know that E(X1) = n1p1 and E(X2)=n2p2
[tex]\frac{1}{n1}E(x1) -\frac{1}{n2}E(x2)\\=\frac{1}{n1}(n1)(p1) -\frac{1}{n2} (n2)(p2)\\=p1 - p2[/tex]
Therefore E(x1/n1)- E(x2/n2) = p1 - p2
and ∴ (X1/n1) − (X2/n2) is an unbiased estimator for p1 − p2.