SYSTEMATIC RANDOM SAMPLING:
In systematic random sampling method, the units of a population are first listed and the sample is selected as per a well-defined system. The sample is drawn by selecting every nth item is the sampling frame, “n” is determined on the basis of the desired size of the sample A number is drawn at random, usually a number between 1 and 10 is selected For example, we have 50,000 items in the universe and a sample size is decided as 5,000 items In our case ‘n’ is equal to 10 Naturally, we have to select every 10th item from the universe However, the first item is selected at random e.g. let us take 3. Such numbers are like 3, 13, 23, 33, 43, etc
Advantages of Systematic Random Sampling
(a) It is a simple and unbiased sampling method.
(b) It ensures speedy selection of sample.
(c) It is more efficient statistically than simple random sampling.
(d) It ensures more representative sample.
Disadvantages of Systematic Random Sampling
(a) It is time consuming and costly.
(b) It can go wrong if every sample is assumed to be similar
(c) It can create more confusion if the selection of sample is reckless.
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