Exam Details
Subject | sampling theory | |
Paper | ||
Exam / Course | m.sc. (statistics) | |
Department | ||
Organization | acharya nagarjuna university-distance education | |
Position | ||
Exam Date | May, 2018 | |
City, State | new delhi, new delhi |
Question Paper
Total No. of Questions 10] [Total No. of Pages 01
M.Sc. DEGREE EXAMINATION, MAY 2018
First Year
STATISTICS
Sampling Theory
Time 3 Hours Maximum Marks :70
Answer any five questions.
All questions carry equal marks.
Q1) What is the difference between enumeration survey and sample survey?
Explain the features of sample survey.
What are sampling and non-sampling errors faced by the researcher? Explain
in brief.
Q2) What are the important aspects should be considered at planning sample
survey?
What are the responsibilities of central statistical organization?
Q3) How do you estimate population mean and proportion in SRS without
replacement?
Define simple random process. Explain its merits and drawbacks.
Q4) Why stratification is important in sample determination? Explain.
How do you determine sample by Neyman allocation method?
Q5) Define systematic sampling. Write its merits and drawbacks.
How do you estimate mean and variance with systematic sampling?
Q6) What is optimum cluster size? Explain.
What are the features of cluster sampling? Explain.
Q7) What is systematic sampling? Write its merits and drawbacks.
Explain the concept circular systematic sampling with an example.
Q8) Write the merits and draw backs of Multi-stage sampling.
Explain two examples where we can use multi-stage sampling.
Q9) What are the biases of ratio-estimator? Explain.
Explain ratio estimates in stratified sampling.
Q10)a) What is the differences between ratio estimate and regression estimate.
Explain the concept of regression estimates in stratified sampling.
M.Sc. DEGREE EXAMINATION, MAY 2018
First Year
STATISTICS
Sampling Theory
Time 3 Hours Maximum Marks :70
Answer any five questions.
All questions carry equal marks.
Q1) What is the difference between enumeration survey and sample survey?
Explain the features of sample survey.
What are sampling and non-sampling errors faced by the researcher? Explain
in brief.
Q2) What are the important aspects should be considered at planning sample
survey?
What are the responsibilities of central statistical organization?
Q3) How do you estimate population mean and proportion in SRS without
replacement?
Define simple random process. Explain its merits and drawbacks.
Q4) Why stratification is important in sample determination? Explain.
How do you determine sample by Neyman allocation method?
Q5) Define systematic sampling. Write its merits and drawbacks.
How do you estimate mean and variance with systematic sampling?
Q6) What is optimum cluster size? Explain.
What are the features of cluster sampling? Explain.
Q7) What is systematic sampling? Write its merits and drawbacks.
Explain the concept circular systematic sampling with an example.
Q8) Write the merits and draw backs of Multi-stage sampling.
Explain two examples where we can use multi-stage sampling.
Q9) What are the biases of ratio-estimator? Explain.
Explain ratio estimates in stratified sampling.
Q10)a) What is the differences between ratio estimate and regression estimate.
Explain the concept of regression estimates in stratified sampling.