1- Discussion about Population Parameter on the basis of Sample Observations is called as: ?
(A) Statistical Inference (B) Inferential Statistics
Option (A) is correct.
2- The Estimator is defined as: ?
(A) Formula (B) Value
Option (A) is correct.
Note: But, Estimate is a Value.
3- An Estimator would be Consistent If Variance of this Estimator becomes _ as n approaches infinity: ?
(A) Nine (B) Zero
Option (B) is correct.
4- If Efficiency > 1, then T is _ efficient: ?
(A) More (B) Less
Option (A) is correct.
5- T1 will be more efficient than T2 If: ?
(A) Var (T1) > Var(T2) (B) Var(T1) < Var(T2)
Option (B) is correct.
6- BLUE is abbreviated as: ?
(A) Best Linear Unbiased Estimator (B) Blue Light Union Enter
Option (A) is correct.
7- In BLUE, Variance is always: ?
(A) Least (B) at most
Option (A) is correct.
8- Level of Confidence is: ?
(A) alpha (B) 1 - alpha
Option (B) is correct.
9- Confidence Coefficient is always: ?
(A) ( 1 - alpha ) 100 % (B) 1 - alpha
Option (A) is correct.
10- Is an Estimator a Random Variable: ?
(A) No (B) Yes
Option (B) is correct.
Note: Yes, Estimator is a random variable because Estimator has different Probability Distributions.
11- For Checking the Unbiasedness of Estimators T1 and T2, we should take: ?
(A) Expectation (B) Variance
Option (A) is correct.
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