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Which of the following are true statements about sampling?I. Careful analysis of a given sample will indicate whether it is random.II. Sampling error implies an error, possibly very small but still an error, on the part of the surveyor.III. Data obtained while conducting a census are always more accurate than data obtained from a sample, no matter how careful the design of the sample.A. I onlyB. II onlyC. III onlyD. I, II and IIIE. None of these statements is true.



Answer :

The correct option None of these statements is true; for the given statements about sampling.

Explain the term sampling?

Sampling is the process of choosing the group from which you will physically collect data for your study.

For instance, you could interview a sample comprising 100 students if you were examining the viewpoints of students at your university.

  • I. A thorough examination of a sample will reveal whether or not it was random.
  1. – False. To determine whether or not the sampling process was randomised, you must look at it.
  2. If you simply hand me a collection of surveys, I won't know if the respondents were chosen at random based solely on the data.

  • II. Sampling error suggests that the surveyor made a mistake, even if it was extremely tiny.
  1. - False. The inherent variation that exists between various samples is referred to as sampling error.

  • No matter how carefully the sample was designed, data gathered during a census will always be more accurate than those received from a sample.
  1. – False. Even though a census will provide much more precise data than a sample, the entire exercise is worthless if the sample poll was biassed.
  2. When making such categorical claims, use caution (the use of the term "always" is a warning sign).

Thus, none of the given statements are true for the samplings.

To know more about the sampling, here

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