Back to Exercise: Calculate the expected value of a random variable

Exercises: Calculate the Expected Value of a Random Variable

Work through each section in order. Compute expected value with $E(X) = \sum x \cdot P(X = x)$: multiply each value by its probability, then add. Show each term as "value times its probability" before summing. For payoff problems, write losses as negative values. Remember that $E(X)$ is the mean of the distribution and need NOT be a value the variable can actually take.

Grade 11·22 problems·~35 min·Common Core Math - HS Statistics and Probability·group·hss-md-a-2
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A

Warm-Up: Distributions and Weighted Means

These problems review probability distributions and the weighted-average idea you already know.

1.

A random variable XX has the probability distribution below.

xx012
P(X=x)P(X=x)1/41/21/4

Which expression correctly sets up the expected value E(X)E(X)?

2.

For a probability distribution, the mean of the distribution, written μ\mu, is the same quantity as which of the following?

3.

A fair four-sided die shows the values 1,2,3,41, 2, 3, 4, each with probability 14\tfrac{1}{4}. Because all outcomes are equally likely, E(X)E(X) is just the plain average of the values. Compute E(X)E(X).

B

Fluency Practice

Compute each expected value as an explicit weighted sum. Write each term as value times its probability before adding.

1.

A spinner has three regions with the distribution below.

xx5820
P(X=x)P(X=x)1/21/41/4

Which computation gives the correct expected value E(X)E(X)?

2.

A spinner is divided so that the value 1 has probability 34\tfrac{3}{4} and the value 10 has probability 14\tfrac{1}{4}.

xx110
P(X=x)P(X=x)3/41/4

Compute the expected value E(X)E(X).

3.

The number of pets XX owned by a randomly chosen student has the distribution below.

xx0123
P(X=x)P(X=x)0.40.30.20.1

Compute the mean of the distribution, μ=E(X)\mu = E(X).

4.

A carnival game pays out an amount XX per play according to the distribution below.

xx (dollars)025
P(X=x)P(X=x)0.60.30.1

If a player plays this game many, many times, what is the long-run average payout per play (in dollars)? Compute E(X)E(X).

5.

In a game the net result XX is +4+4 dollars with probability 14\tfrac{1}{4} and 2-2 dollars (a loss) with probability 34\tfrac{3}{4}.

xx (dollars)+4-2
P(X=x)P(X=x)1/43/4

Compute the expected net result E(X)E(X), in dollars. Keep the sign.

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