Expected value calculator
Enter possible outcomes and matching probabilities or weights. The calculator normalizes them automatically.
Expected value components
| Row | Outcome x | Weight | p | x · p |
|---|---|---|---|---|
| Fill in the fields above — the result is computed on this page. | ||||
How to use this page
- Enter outcomes in the first field.
- Enter matching weights in the same order.
- Review the x·p table and total.
What this page does not do: The result requires a complete, accurate list of outcomes and weights. Unknown probabilities should not be guessed.
Further reading
Expected value is the model average over a very large number of repetitions, not a promise for one trial. Weights need not sum to 1 because the calculator divides each by their total.
A negative expected value means an average long-run loss; a positive value does not remove single-outcome risk.
Frequently asked questions
Must the weights sum to 1?
No. They are normalized automatically, but they cannot be negative and their total must be positive.
Is expected value the most likely result?
No. It may not even be one of the possible outcomes.
See also
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.
Adjusted R-squared calculator
Convert R² to adjusted R² using the number of observations and predictors in a regression model.
Beta distribution calculator
Calculate beta density, CDF, upper tail and quantile together with its mean and variance.