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The expected value of a probability distribution on the TI-84 calculator refers to the average outcome that is expected to occur over a large number of trials. It is calculated by multiplying each possible outcome by its corresponding probability and then summing these products. This feature on the TI-84 calculator is useful for analyzing and predicting the outcomes of random events. Additionally, it can assist in decision-making and risk assessment by providing a numerical representation of the most likely outcome.
TI-84: Find Expected Value of a Probability Distribution
A probability distribution tells us the probability that a takes on certain values.
For example, the following probability distribution tells us the probability that a certain soccer team scores a certain number of goals in a given game:
To find the expected value of a probability distribution, we can use the following formula:
μ = Σx * P(x)
where:
- x: Data value
- P(x): Probability of value
For example, the expected number of goals for the soccer team would be calculated as:
μ = 0*0.18 + 1*0.34 + 2*0.35 + 3*0.11 + 4*0.02 = 1.45 goals.
The following step-by-step example shows how to calculate the expected value of a probability distribution on a TI-84 calculator.
Step 1: Enter the Data
First, we will enter the data.
Press Stat, then press EDIT. Then enter the data values in column L1 and their probabilities in L2:
Step 2: Multiply the Two Columns
Next, we will multiply columns L1 and L2.
Highlight the top of column L3 and type in the following formula: L1 * L2
Use these steps to enter this formula:
- Press Stat, then press 1.
- Press the multiplication x button.
- Press Stat, then press 2.
Once you press Enter, the following values will appear in column L3:
Step 3: Find the Expected Value
Lastly, use the following steps to find the expected value of the probability distribution:
- Press 2nd and then press MODE to return to the home screen.
- Press 2nd and then press STAT. Scroll over to “MATH” and then press 5.
- Press 2nd and then press 3.
- Press the ) button.
Once you press Enter, the expected value will be displayed:
The expected value turns out to be 1.45.
Notice that this matches the expected value that we calculated by hand at the beginning of the article.