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Math Help - Bernoulli Random variable and population problems - i need it for an exam

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    Bernoulli Random variable and population problems - i need it for an exam

    Let Ya and Yb denote Bernoulli random variables from 2 different populations, denoted a and b. suppose that E (Ya)= Pa and E (Yb) = Pb. A random sample of size na is chosen from population a, with sample average denoted P^a and a random sample of size nb is chosen from the population b, with sample average denoted p^b Sample from population a is independent from sample from population b.
    Show that E (P^a) = Pa and var (P^a)= Pa(1- Pa)/ na.
    Show that E(P^b) = Pb and var (P^b)= Pb(1- Pb)/ nb.

    Show that var (P^a - P^b)= Pa(1- Pa)/ na + Pb(1- Pb)/ nb

    Suppose that na and nb are large. Show that a 95% confidence interval for Pa - Pb is given by (P^a - P^b) plus and minus 1.96 sqrt P^a(1- P^a)/ na + P^b(1- P^b)/ nb.

    How would you construct a 90% confidence interval for Pa - Pb?

    I have missed the class when prof. taught these....
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    Re: Bernoulli Random variable and population problems - i need it for an exam

    Quote Originally Posted by homalina View Post
    Let Ya and Yb denote Bernoulli random variables from 2 different populations, denoted a and b. suppose that E (Ya)= Pa and E (Yb) = Pb. A random sample of size na is chosen from population a, with sample average denoted P^a and a random sample of size nb is chosen from the population b, with sample average denoted p^b Sample from population a is independent from sample from population b.
    Show that E (P^a) = Pa and var (P^a)= Pa(1- Pa)/ na.
    Show that E(P^b) = Pb and var (P^b)= Pb(1- Pb)/ nb.

    Show that var (P^a - P^b)= Pa(1- Pa)/ na + Pb(1- Pb)/ nb

    Suppose that na and nb are large. Show that a 95% confidence interval for Pa - Pb is given by (P^a - P^b) plus and minus 1.96 sqrt P^a(1- P^a)/ na + P^b(1- P^b)/ nb.

    How would you construct a 90% confidence interval for Pa - Pb?

    I have missed the class when prof. taught these....
    I have given you hints on finding the expected value and variance of sample average in one of your previous problems..use the same concept here
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