The difference between statistics and parameter is called:______________?

Correct answer: C. Sampling error

  • A. Bias
  • B. Standard
  • C. Sampling error
  • D. both (a) and (b)

Explanation

Sampling error is the difference between a sample statistic and the corresponding population parameter. Bias is a systematic tendency of an estimator to miss the parameter, not the general difference itself.

Written and checked by , MS Computer ScienceLast updated
Report an error

The more specific you are, the faster it gets fixed. A source beats an opinion.

Prefer email? [email protected]

Practise Sampling and Sampling Distributions

32 free Sampling and Sampling Distributions MCQs from Statistics, each with the correct answer and an explanation. Unlimited attempts, no account needed.

Discussion

Stuck on an option, or know a faster way to get there? Ask or explain it here.

No comments yet. Be the first to explain this one.

Exams that ask Statistics questions like this

Statistics is on this paper prepared for on TestUstad, and all of them draw the same bank, so this question is worth knowing for it.

More Sampling and Sampling Distributions questions