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Expected Value Visualizations



Weighted Expected Value
Visualize expected value as a weighted average with interactive probability weights.
Discrete Expected Value
Calculate expected value for discrete random variables with probability mass functions.





Interactive Expected Value Tools

Explore expected value through interactive visualizations. See how probability weights combine with outcomes to produce the long-run average.



What is Expected Value?

Expected value is the long-run average value of a random variable over many repetitions. It represents the center or "expected" outcome, calculated as a probability-weighted average of all possible values.
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Types of Expected Value

Expected value calculations differ based on whether the random variable is discrete (countable outcomes) or continuous (infinite possible values in a range). Each requires different visualization approaches.
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Applications

Expected value is fundamental in decision theory, finance, insurance, game theory, and risk assessment. It helps quantify average outcomes when dealing with uncertainty.
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