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 |
Term-definition correspondences are:
(A) Power of a test is (IV), the probability of rejecting a false null hypothesis.
(B) Multicollinearity is (III), the correlation among explanatory variables in a regression.
(C) A biased estimator is (I), where the sample mean differs from the population mean.
(D) White noise error is (II), errors characterized by zero mean and constant standard deviation.
Therefore, the correct answer is (b)