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)
List-I(Economic Concepts) | List-II(Description) | ||
---|---|---|---|
A | Kuznets Curve | I | Describes the relationship be tween currency depreciation and current account balance |
B | Fisher Effect | II | Describes the relationship between autonomous investment and output |
C | J Curve Effect | III | Describes the relationship between income and inequality |
D | Multiplier Effect | IV | Describes the relationship between expected inflation rate and interest rate |