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.

25% is the answer

the number of possible outcomes that do not show a 1 on the first spinner and show the number 4 on the second spinner is 2.

spinner 1 spinner 2

1                     1

1                     2

1                     3

1                     4

2                   1

2                   2

2                   3

2                   4   = not 1, and 4

3                   1

3                   2

3                   3

3                   4 = not 1, and 4

only 2 outcomes have passed the given condition.

step-by-step explanation:

step-by-step explanation:

because it just is