Statistical Inference and Hypothesis Testing (ISS Statistics Paper II (New 2016 MCQ Pattern)): Questions 42  46 of 222
Get 1 year subscription: Access detailed explanations (illustrated with images and videos) to 246 questions. Access all new questions we will add tracking exampattern and syllabus changes. View Sample Explanation or View Features.
Rs. 200.00 or
Question number: 42
» Statistical Inference and Hypothesis Testing » Minimum Variance Unbiased Estimators
Question
If
Where is any other unbiased estimator of . Then the statistic is known as
Choices
Choice (4)  Response  

a.  Minimum Variance Unbiased Estimator (MVUE) 

b.  Sufficient Estimator 

c.  Efficient Estimator 

d.  Consistent Estimator 

Question number: 43
» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood
Question
In a random sampling from Normal population the likelihood estimators of mean and variance are
Choices
Choice (4)  Response  

a.  Variance is Unbiased 

b.  Mean is biased 

c.  Both a. and b. are correct 

d.  Question does not provide sufficient data or is vague 

Question number: 44
» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood
Question
MLE’s are always consistent and unbiased estimators. This statement is
Choices
Choice (4)  Response  

a.  False 

b.  True 

c.  Always Unbiased estimators 

d.  Question does not provide sufficient data or is vague 

Question number: 45
» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood
Question
In a random sampling from Normal population the Maximum Likelihood estimator for is
Choices
Choice (4)  Response  

a. 


b. 


c. 


d. 


Question number: 46
» Statistical Inference and Hypothesis Testing » Estimation Methods of Maximum Likelihood
Question
The estimate of the of a population having density function
is
Choices
Choice (4)  Response  

a.  Not an Unbiased estimate of 

b.  Unbiased estimate of 

c.  Unbiased estimate of 

d.  Question does not provide sufficient data or is vague 
