Sample data cannot be expected to predict population parameters with perfect accuracy due to
A) interval error.
B) statistical error.
C) quantitative error.
D) sampling error.

Question

Quizplus · Accepted Answer

Sampling error is the difference between the sample statistic and the population parameter. It occurs because we are only able to measure a subset of the population instead of the entire population. This means that the sample data cannot perfectly predict the population parameters. Other types of errors mentioned in the options such as interval error, statistical error, and quantitative error are not directly related to the accuracy of the data in predicting population parameters.

Sample Data Cannot Be Expected to Predict Population Parameters with Perfect