The error of estimation is affected by
A)sample size.
B)population size.
C)the variance of the data.
D)all of these answers are correct.

Question

Quizplus · Accepted Answer

The error of estimation is influenced by the sample size (larger samples generally produce smaller errors), the population size (especially in relation to the sample size, though its effect is less pronounced than that of sample size), and the variance of the data (higher variance can lead to larger errors). Therefore, all of these factors affect the error of estimation.

The Error of Estimation Is Affected by