Statistical Inference and Hypothesis TestingCharacteristics of Good Estimator (ISS (Statistical Services) Statistics Paper II (New 2016 MCQ Pattern)): Questions 6  11 of 54
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Question number: 6
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Let be a random sample from Bernoulli population with parameter , . If ,
Choices
Choice (4)  Response  

a.  Is not sufficient for 

b.  Is Sufficient for 

c.  The conditional distribution does not depend on 

d.  Both b. and c. are correct 

Question number: 7
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
If T is an unbiased estimator for , then is
Choices
Choice (4)  Response  

a.  Biased estimator of 

b.  Unbiased estimator 

c.  None of the above 

d.  Question does not provide sufficient data or is vague 

Question number: 8
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
A formula or rule used for estimating the parameter is called:
Choices
Choice (4)  Response  

a.  Estimate 

b.  Statistic 

c.  Estimation 

d.  Estimator 

Question number: 9
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
In sampling from a population, the sample mean is a consistent estimator of
Choices
Choice (4)  Response  

a. 


b.  +1 

c. 


d.  All of the above 

Question number: 10
» Statistical Inference and Hypothesis Testing » Characteristics of Good Estimator
Question
Let be random sample from a population with mean. Then is
Choices
Choice (4)  Response  

a.  Unbiased estimator of 

b.  Biased estimator of 

c.  Unbiased estimator of 

d.  All of the above 

Question number: 11
» 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. If , and . Which one is the best estimator in terms of variance?
Choices
Choice (4)  Response  

a. 


b. 


c. 


d.  Question does not provide sufficient data or is vague 
