List-I(Statistical Concepts) | List-II(Description) | ||
---|---|---|---|
A | Power of a test | I | 1- probability of making type II error |
B | Multicollinearity | II | Where the sample mean differs from the population mean |
C | Biased estimator | III | Correlation between explanatory variables in a regres sion |
D | White noise error | IV | Errors with zero mean and constant standard deviation |
The matching of terms with definitions is:
(A) Power of a test corresponds to (IV), the probability of rejecting a false null hypothesis.
(B) Multicollinearity corresponds to (III), the correlation between explanatory variables in a regression.
(C) Biased estimator corresponds to (I), where the sample mean differs from the population mean.
(D) White noise error corresponds to (II), errors with zero mean and constant standard devia tion.
Thus, the correct answer is (b)