Statistical Inference and Hypothesis TestingCharacteristics of Good Estimator (ISS Statistics Paper II (New 2016 MCQ Pattern)): Questions 25  28 of 54
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Question number: 25
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
If is the variance of a random sample from an infinite population with mean μ and finite variance . Then is 
Choices
Choice (4)  Response  

a.  Biased estimator of 

b. 


c.  Unbiased estimator of 

d.  Question does not provide sufficient data or is vague 

Question number: 26
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Let be a random sample of size n from a large population with mean μ and variance . Which of the following statement is correct?
Choices
Choice (4)  Response  

a. 


b. 


c. 


d.  All of the above 

Question number: 27
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
If , _is a random sample of size n, from , a statistic
is an unbiased estimator of if
Choices
Choice (4)  Response  

a.  If 

b.  If 

c.  If 

d.  If 

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 
