`"E(X)" = ( n +1)/2`

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The Discrete Uniform Expected Value calculator computes the expected value based on the sample size (n).

INSTRUCTIONS: Enter the following:

• (n) This is the sample size.

Expected Value: The calculator returns the expected value.

Related Calculators:

• Pascal Distribution Expected Value
• Geometric Expected Value
• Binomial Distribution Expected Value
• Bernoulli Distribution Expected Value
• Geometric Distribution Expected Value
• Discrete Uniform Expected Value
• Hyper-geometric Distribution Expected Value

The Math / Science

In probability theory, the expected value (often noted as E(x)) refers to the expected average value of a random variable one would expect to find if one could repeat the random variable process a large number of time. In other words, the expected value is a weighted average of all possible values in the experiment.

Discrete uniform distributions is when a set amount of values are known and are equally likely to occur(that is they the same probability).

The expected value of a discrete uniform distribution is equal to half of the sample size plus one. 

Variables:

• `n` = sample size

Equations: 

`E(x) = (n + 1)/2`