Match the LIST-I with LIST-II, LIST-I, LIST-II, A., The measurable characteristic of a population is called, I. Statistic, B., The measurable characteristic of a sample is called, II. Confidence level, C., The percentage of all possible samples that can be expected to include the true population parameter is called, III. Confidence interval, D., A range that could be expected to contain the population parameter of interest is, IV. Parameter, Choose the correct answer from the options given below:

Question

Match the LIST-I with LIST-II | LIST-I | | LIST-II | |---|---|---| | A. | The measurable characteristic of a population is called | I. Statistic | | B. | The measurable characteristic of a sample is called | II. Confidence level | | C. | The percentage of all possible samples that can be expected to include the true population parameter is called | III. Confidence interval | | D. | A range that could be expected to contain the population parameter of interest is | IV. Parameter | Choose the correct answer from the options given below:

Accepted Answer

A - IV, B - I, C - II, D - III

Answer

A - II, B - IV, C - I, D - III

Answer

A - III, B - I, C - IV, D - II

Answer

A - I, B - III, C - II, D - IV

	List - I		List - II
(A)	Left tailed test	(I)	$H_0 : \mu = 50$
(B)	Two tailed test	(II)	$H_1 : \mu > 50$
(C)	Null hypothesis	(III)	$H_1 : \mu < 50$
(D)	Right tailed test	(IV)	$H_1 : \mu \neq 50$

LIST-I (Term)		LIST-II (Definition)
A. Confidence level		I. In a confidence interval, the range of values, above and below the sample statistic.
B. Margin of error		II. It is the probability of making Type-I error, when null hypothesis is true as an equality.
C. Level of significance		III. It involves the use of sample data to calculate a single value of an unknown population parameter.
D. Point estimation		IV. It describes the uncertainty of a sampling method.

	Size	Mean	Variance
Sample 1	5	40	101
Sample 2	7	30	60

LIST-I		LIST-II
A.	The measurable characteristic of a population is called	I. Statistic
B.	The measurable characteristic of a sample is called	II. Confidence level
C.	The percentage of all possible samples that can be expected to include the true population parameter is called	III. Confidence interval
D.	A range that could be expected to contain the population parameter of interest is	IV. Parameter

Solution

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