Question

a researcher uses a sample variance to estimate a population variance and is dissatisfied with the accuracy of the estimate. what can the researcher do to make their estimate more accurate?

instead of measuring the sample variance, use another sample measure

select a greater sample size

select a smaller sample size

Explanation:

The formula for sample variance \(s^{2}=\frac{\sum(X - M)^{2}}{n - 1}\). Larger sample sizes (\(n\)) reduce sampling error. A greater \(n\) makes the sample more representative of the population, thus improving the accuracy of the variance estimate. Using another sample measure doesn't directly address variance - estimate accuracy. A smaller \(n\) increases sampling error.

Answer:

select a greater sample size