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Eduncle posted an MCQ
October 19, 2019 • 19:54 pm 0 points
  • UGC NET
  • Education

The difference between a sample statistic and the corresponding parameter is known as

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    Eduncle Best Answer

    In statistics, sampling error is the error caused by observing a sample instead of the whole population. The sampling error is the difference between a sample statistic used to estimate a population parameter and the actual but unknown value of the parameter. The difference between a sample statistic and the corresponding parameter is known as Sampling error.

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