In a model based on a weakly dependent time series with serial correlation and strictly exogenous explanatory variables, . a. the feasible generalized least square estimates are BLUE b. the feasible generalized least square estimates are asymptotically more efficient than OLS estimates c. the feasible generalized least square estimates are unbiased d. the feasible generalized least square estimates are asymptotically less efficient than OLS estimat

step-by-step explanation:

you can add the two numbers and divide the result by 2. or you can find the gap between the two numbers and add half of this to the smaller number.

what is the question?

step-by-step explanation:

85.560%

step-by-step explanation:

conditional probability is defined as:

p(a|b) = p(a∩b) / p(b)

in other words, the probability that a occurs, given that b has occurred = the probability that both a and b occur / the probability that b occurs.

in this example:

p(turns 64 | turns 44) = p(turns 64 & turns 44) / p(turns 44).

if someone turns 64, they must have already turned 44, so:

p(turns 64 | turns 44) = p(turns 64) / p(turns 44)

on page 42, we see that of the original 100,000, 94944 turn 44, and 81234 turn 64.   therefore:

p(turns 64 | turns 44) = 81234 / 94944

p(turns 64 | turns 44) = 0.85560