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The difference between the value of the sample statistic and the value of the corresponding population parameter is called the _____. a. standard error b. statistical error c. sampling error d. proportion error

Respuesta :

JeanaShupp

Answer: c. sampling error

Step-by-step explanation:

  • A population parameter is a number that is evaluated to describe the whole population . For example : Population mean , Population standard deviation etc.
  • A sample statistic gives the estimate value of the population parameter. For example : Sample mean , sample proportion.

Since, the sample is a subset of population , so there are chances for unavoidable variation in sample mean from the population mean that varies from sample to sample .

This variation is known as sampling error.

∴ The difference between the value of the sample statistic and the value of the corresponding population parameter is called the sampling error .

Hence,the correct answer is c. sampling error .

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