Statistical Inference and Hypothesis TestingCharacteristics of Good Estimator (ISS (Statistical Services) Statistics Paper II (New 2016 MCQ Pattern)): Questions 28  32 of 54
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Question number: 28
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
If an estimator of parameter , converges in probability to the true value of , then the estimator is called as
Choices
Choice (4)  Response  

a.  Consistent estimator 

b.  Biased Estimator 

c.  Unbiased estimator 

d.  All of the above 

Question number: 29
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
The difference between the expected value of an estimator and the value of the corresponding parameter is called:
Choices
Choice (4)  Response  

a.  Error of estimation 

b.  Sampling error 

c.  Standard error 

d.  Bias 

Question number: 30
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Let be a random sample of size n = 3 from a distribution with mean and variance. Then is a unbiased estimator of
Choices
Choice (4)  Response  

a. 


b. 


c. 


d. 


Question number: 31
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
A biased estimator is consistent if
Choices
Choice (4)  Response  

a. 


b. 


c. 


d.  None of the above 

Question number: 32
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
A random sample of size 5 is drawn from a normal population with unknown mean . Then is a unbiased estimator of
Choices
Choice (4)  Response  

a. 


b. 


c. 


d. 

