ISS Statistics Paper II (New 2016 MCQ Pattern): Questions 29  34 of 246
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: 29
» 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 unbised estimator of
Choices
Choice (4)  Response  

a. 


b. 


c. 


d. 


Question number: 30
» 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: 31
» 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: 32
» 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: 33
» 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: 34
» 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 
