Sample selection bias A. is only important for finite sample results. B. results in the OLS estimator being biased, although it is still consistent. C. occurs when a selection process influences the availability of data and that process is related to the dependent variable. D. is more important for nonlinear least squares estimation than for OLS.

your answer is 228

step-by-step explanation:

add the top and bottom bases together, then divide them by 2, then multiply by the height.

in problems involving proportions, we can use cross products to test whether two ratios are equal and form a proportion. to find the cross products of a proportion, we multiply the outer terms, called the extremes, and the middle terms, called the means.

hope it

e^-kt = n/n0 = 0.79  

-kt = ln 0.79  

t = - ln 0.79/0.0001  

= 2357 years

step-by-step explanation: