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.
Warm-Up: Distributions and Weighted Means
These problems review probability distributions and the weighted-average idea you already know.
A random variable has the probability distribution below.
| 0 | 1 | 2 | |
|---|---|---|---|
| 1/4 | 1/2 | 1/4 |
Which expression correctly sets up the expected value ?
For a probability distribution, the mean of the distribution, written , is the same quantity as which of the following?
Fluency Practice
Compute each expected value as an explicit weighted sum. Write each term as value times its probability before adding.
A spinner has three regions with the distribution below.
| 5 | 8 | 20 | |
|---|---|---|---|
| 1/2 | 1/4 | 1/4 |
Which computation gives the correct expected value ?
A spinner is divided so that the value 1 has probability and the value 10 has probability .
| 1 | 10 | |
|---|---|---|
| 3/4 | 1/4 |
Compute the expected value .
The number of pets owned by a randomly chosen student has the distribution below.
| 0 | 1 | 2 | 3 | |
|---|---|---|---|---|
| 0.4 | 0.3 | 0.2 | 0.1 |
Compute the mean of the distribution, .
A carnival game pays out an amount per play according to the distribution below.
| (dollars) | 0 | 2 | 5 |
|---|---|---|---|
| 0.6 | 0.3 | 0.1 |
If a player plays this game many, many times, what is the long-run average payout per play (in dollars)? Compute .
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