Question

3. What do you mean by Random Sampling? Discuss its merits and demerits.4 marks ​

Answer 1

Explanation:

Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population. ... An unbiased random sample is important for drawing conclusions.

Random samples are the best method of selecting your sample from the population of interest. The advantages are that your sample should represent the target population and eliminate sampling bias, but the disadvantage is that it is very difficult to achieve (i.e. time, effort and money).

Answer 2

Answer:

Random sampling is a part of the sampling technique in which each sample has an equal probability of being chosen. A sample chosen randomly is meant to be an unbiased representation of the total population. If for some reasons, the sample does not represent the population, the variation is called a sampling error.

Following are the merits of random sampling :

1. There are no chances for personal prejudice.

2. It is economical and saves time, money and labour.

3. This method is based on the law of statistical Regularity and law of Inertia. Due to this reason the selected sample contains quality of the whole population.

4. It is an easy method.

5. Sample collected through this method can be tested by comparison with other samples also.

Following are the demerits of random sampling :

1. If some special units are to be included in the sample due to their importance then this method is not suitable.

2. If the population size is small or the heterogeniety is high, then the samples taken by this method cannot fully represent the population. 3. This method is suitable only when all units of the population are independent

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