The fact that a sample statistic may not equal the value of its corresponding population parameter is said to be the result of:
A)sampling error
B)systematic error
C)random error
D)parametric error

Question

Quizplus · Accepted Answer

This is because sampling error refers to the discrepancy between a sample statistic and its corresponding population parameter due to chance variation in the sample selection process. Systematic error refers to errors that arise due to consistent biases in the data collection or measurement process, random error refers to errors that arise due to unpredictable variations in the data collection or measurement process, and parametric error is not a commonly used term in statistics.

The Fact That a Sample Statistic May Not Equal the Value