Question

In random sampling:

a) Each element has equal chance of being selected

b) Sample is always full of bias

c) Cost involved is very high

d) All of the above

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Answer 1

Answer:

a) each element has equal chance of being selected

Answer 2

In random sampling, each element has an equal chance of being selected

• When random sampling is employed, there is a uniform share that every element of the population will be selected for the sample.
• This indicates that there is no bias in the selection process and that every member of the population has a fair chance of being chosen.
• The goal of a randomly chosen sample is to provide an accurate representation of the complete population.
• The sample is not skewed, despite the fact that random sampling is meant to decrease bias in the sampling process.
• According to the size and features of the population being sampled, random sampling can be a cost-effective sampling technique, thus the associated costs are also not excessive.
• Therefore, only option A is correct.

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