Match List-I with List-II
| List-I | List-II | ||
| (A). | The probability of making wrong decision when the null hypothesis is true in a hypothesis test. | (I). | Confidence interval |
| (B). | A range that could be expected to contain the population parameter of interest. | (II). | Standard error |
| (C). | The percentage of all possible samples that can be expected to include the true Population Parameter. | (III). | Significance level |
| (D). | The standard deviation of the sampling distribution of a statistic. | (IV). | Confidence level |
Choose the correct answer from the options given below:
Answer & explanation
Correct answer: option 4
The correct answer is Option (4) → (A) - (III), (B) - (I), (C) - (IV), (D) - (II)
(A) The probability of a wrong decision when the null hypothesis is true
This matches (III) Significance level.
The probability of wrongly rejecting a true null hypothesis is the significance level.
(B) A range expected to contain the population parameter
This matches (I) Confidence interval.
An interval of values within which the parameter is expected to lie is a confidence interval.
(C) The percentage of samples expected to include the true parameter
This matches (IV) Confidence level.
The percentage of samples whose interval includes the true parameter is the confidence level.
(D) The standard deviation of the sampling distribution of a statistic
This matches (II) Standard error.
This spread of a statistic from sample to sample is called its standard error.
So the matching is (A)-(III), (B)-(I), (C)-(IV), (D)-(II).