Point Estimates

Statistics · Axiom Academy

Using Sample Statistics to Estimate Population Parameters 2 Sample Mean as Point Estimate for μ 3 Sample Proportion as Point Estimate for p 5 Properties of Good Estimators Unbiasedness: The expected value of the estimator equals the parameter (no systematic error) Consistency: As sample size increases, the estimator converges to the true parameter Efficiency: Among unbiased estimators, it has the smallest variance (most precise) Sufficiency: The estimator uses all relevant information in the sample You've learned about point estimates, unbiased estimators, and the properties that make estimators reliable for statistical inference.

This is the written version of the interactive lesson above. See the full Statistics course.