Back to Develop an empirical probability distribution — Problem 4 · Task Set 30

Exercises: Develop an Empirical Probability Distribution and Find Its Expected Value

Work through each section in order. To turn a frequency table into a probability distribution, estimate each probability as a RELATIVE FREQUENCY: count divided by total (or percent divided by 100). Every probability must be between 0 and 1, and they should sum to about 1. Compute the expected value as $E(X) = \sum x \cdot P(X = x)$, and scale to a population total with $n \cdot E(X)$. State any modeling choice you make for an open-ended category. Round as directed.

Grade 11·23 problems·~38 min·Common Core Math - HS Statistics and Probability·group·hss-md-a-4
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Fluency Practice

Build distributions, check the sum, and compute expected values.

1.

A distribution for the number of TVs per household has an open-ended top category "4 or more" with probability 0.12. To compute E(X)E(X), the class decides to treat "4 or more" as the representative value 4. Using that decision, what is the contribution of the "4 or more" category to E(X)E(X) (that is, the value times its probability)?