UGC NET Sampling distributions Previous Year Questions
JRFSmart holds 9 previous-year questions on Sampling distributions from UGC NET Commerce (Paper 2), filed under Unit 5: Business Statistics and Research Methods, drawn from 7 of the 22 exam papers in the bank (2020–2025). Each question can be practised with a full explanation and shows how often NTA has returned to the same idea.
What is asked in Sampling distributions
The questions in this topic fall under these subtopics, ordered by how many previous-year questions each has.
| Subtopic | Questions |
|---|---|
| Standard error and sample size | 2 |
| Standard error | 1 |
| Properties of estimators - consistency | 1 |
| Standard error and z-probability | 1 |
| Order of symmetry of distributions | 1 |
| Properties of a point estimator | 1 |
| Standard error without replacement | 1 |
NTA repeat analysis
Sampling distributions appears in 7 of 22 papers (32%), which JRFSmart rates as high frequency.
2 questions in this topic have been verified as repeated in more than one paper.
Sample previous-year questions
Properties of a good point estimator includes which of the following? A. Stationarity B. Efficiency C. Consistency D. Neutrality E. Unbiasedness Choose the correct answer from the options given below:
For a very large population, the ratio between SE X̄ and σ is 8:40. The sample size n will be:
Standard Deviation of Sampling Distribution is called:
A point estimator is said to be consistent when:
A population has a mean of 200 and a standard deviation of 50. Suppose a simple random sample of size 100 is selected then the probability that the sample mean will be ±5 of the population mean is:
The following statistical distribution and tests in the increasing order of symmetry: A. Z-distribution B. Chi-square distribution C. T-distribution D. F-distribution E. Uniform distribution Choose the correct answer from the options given below:
For a very large sample size, the ratio between SE X̄ and σ is 8:40. Determine the sample size n:
When sampling is done without replacement, the standard error of mean is:
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Practise Sampling distributions
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