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

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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