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Expected value calculator

Compute the expected value from a list of outcomes and their probabilities.

Enter Outcomes (comma-separated), Probabilities, adding up to 1 and the Expected value calculator works out Expected value straight away. For instance, with Outcomes (comma-separated) = 10, 20, -5 and Probabilities, adding up to 1 = 0.5, 0.3, 0.2 it returns Expected value = 10.

How to use it

  1. Enter your values: Outcomes (comma-separated), Probabilities, adding up to 1.
  2. Read the result instantly: Expected value.

Frequently asked questions

What does the Expected value calculator actually compute?

It takes Outcomes (comma-separated) and Probabilities, adding up to 1 and derives Expected value from them. The calculation is live as you type, so the result updates on every change.

What information do I need to provide?

2 values: Outcomes (comma-separated) and Probabilities, adding up to 1. Nothing else is required — no account, no file upload.

Can you show a worked example?

With Outcomes (comma-separated) = 10, 20, -5 and Probabilities, adding up to 1 = 0.5, 0.3, 0.2, the calculator returns Expected value = 10. Those figures come from running this exact tool, so you can reproduce them by entering the same values.

When would I actually use this?

Summarising a dataset before drawing conclusions from it, checking whether a difference between two groups is real, and putting an interval around an estimate.

What is the most common mistake?

Reading a p-value as the probability that the hypothesis is wrong. It is the probability of seeing data at least this extreme if the null were true — a different statement, and a much weaker one.

What is the difference between the Expected value calculator and the p-Value Calculator?

This one returns Expected value; the p-Value Calculator returns Result. That is the whole difference — open the one whose figure you need.

Is there a tool for the next step?

Coefficient of variation calculator is the closest one after this: Compute the coefficient of variation (CV) of a dataset — its relative variability.

What else is worth having open alongside it?

Correlation coefficient calculator and Geometric mean calculator — they come up in the same task often enough to be worth a second tab.

Where do the figures come from, and how current are they?

Distributions and test statistics are computed from their standard definitions, not from a lookup table, so results carry more digits than a printed table would. The assumptions each test makes are stated with it.

Further reading

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