Question
By applying systematic random sampling if a researcher is required to draw 234 samples from a total population of 5,382. What will be the sampling interval ?
The correct answer is
23
To determine the sampling interval in systematic random sampling, we use the formula:
\(k = \frac{N}{n}\)
where:
- \(N\) is the total population size.
- \(n\) is the number of samples required.
- \(k\) is the sampling interval.
Given in the question:
- Total population size, \(N = 5382\)
- Number of samples required, \(n = 234\)
Using the formula:
\(k = \frac{5382}{234} \approx 23\)
Therefore, the sampling interval \(k\) is approximately 23. This means that in systematic random sampling, every 23rd individual from the population should be chosen to form the sample.
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Important Questions from Sampling Techniques - Teaching
Homogenous subsets in the sampling are called
Match the LIST-I with LIST-II
LIST-I
Sampling frame
(Circles denotes unit selected)LIST-II
Sampling ProcedureA.
I. Systematic Sampling B.
II. Cluster Sampling C.
III. Simple Random Sampling D.
IV. Stratified Random Sampling
Choose the correct answer from the options given below:- To select an unbiased sample in statistical sense we need to make sure each unit has an ______ and ______ chance of selection.
- Theoretical sampling is used when.
A. Extension of the basic population is not known in advance
B. Features of the basic population are not known in advance
C. Sample Size is not defined in advance
D. Repeated drawing of sampling elements with criteria to be defined again in each step
E. Sampling is finished when the whole sample has been studied
Choose the correct answer from the options given below: - Which of the following is not a non-probability method of selecting samples from a population?
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