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Probability & statistics / English

How To Calculate Expected Value

The Organic Chemistry Tutor · YouTube · 6:59

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Calculate expected value from explicit outcome tables and scale an expectation across repeated units.

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Chapters

0:00Create the outcome table1:30A two-outcome calculation6:00Expected profit is not a guarantee

Learning script

Generated from the video's visuals and explanation; not verbatim speech.

List mutually exclusive outcomes, assign their stated gains or losses, and ensure the probabilities sum to one. Define monetary values consistently, including any costs that apply.

For the stated outcome values 500 and −100 with probabilities 0.2 and 0.8, the weighted mean is 500(0.2)−100(0.8)=20500(0.2)-100(0.8)=20. This conclusion uses those specified outcome values.

The laptop example gives 40 with probability 0.97 and −500 with probability 0.03, so the mean is 23.8 per unit. Summing expectations gives 2380 for 100 such units, rather than a guaranteed realized profit.

Knowledge cards

01

Create the outcome table

List mutually exclusive outcomes, assign their stated gains or losses, and ensure the probabilities sum to one. Define monetary values consistently, including any costs that apply.

02

A two-outcome calculation

For the stated outcome values 500 and −100 with probabilities 0.2 and 0.8, the weighted mean is 500(0.2)−100(0.8)=20500(0.2)-100(0.8)=20. This conclusion uses those specified outcome values.

03

Expected profit is not a guarantee

The laptop example gives 40 with probability 0.97 and −500 with probability 0.03, so the mean is 23.8 per unit. Summing expectations gives 2380 for 100 such units, rather than a guaranteed realized profit.

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  • Expectation ExplanationAt 0:00
    Why this connection?

    List mutually exclusive outcomes, assign their stated gains or losses, and ensure the probabilities sum to one. Define monetary values consistently, including any costs that apply. For the stated outcome values 500 and −100 with probabilities 0.2 and 0.8, the weighted mean is 500(0.2)−100(0.8)=20500(0.2)-100(0.8)=20. This conclusion uses those specified outcome values. The laptop example gives 40 with probability 0.97 and −500 with probability 0.03, so the mean is 23.8 per unit. Summing expectations gives 2380 for 100 such units, rather than a guaranteed realized profit.