Point Estimate Calculator
Choose between sample mean and sample proportion estimators, input your data, and obtain the point estimate used in confidence intervals and hypothesis testing.
Sample mean (x̄): 18.0000
How to Use This Calculator
- Select the estimator type: sample mean or sample proportion.
- Enter your sample observations or success and trial counts.
- Review the computed point estimate to use as the center of confidence intervals.
- Combine the estimate with standard error calculations for inference.
Formula
Sample mean: x̄ = Σxi / n
Sample proportion: p̂ = x / n, where x = successes, n = trials
Full Description
A point estimate summarizes information from sample data with a single number. The sample mean estimates the population mean, and the sample proportion estimates the population proportion. These estimates form the basis for interval estimates and hypothesis tests.
Frequently Asked Questions
How does point estimation relate to interval estimation?
The point estimate is the center of a confidence interval. Combine it with a margin of error to communicate uncertainty.
What if I have weighted data?
This calculator assumes simple random samples. For weighted data, use weighted means or proportions.
Can I estimate rates or ratios?
Yes, but the formulas differ. Adapt the input and calculation to the parameter of interest.
What sample size is required?
Point estimates exist for any sample size, but precision improves with larger samples.