Expected Value Practice

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•
Mathematics
•
University
•
Hard
+2
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the expected value in probability?
Back
The expected value is a measure of the center of a probability distribution, calculated as the sum of all possible values, each multiplied by its probability.
Tags
CCSS.HSS.MD.A.2
2.
FLASHCARD QUESTION
Front
How do you calculate the expected value of a discrete random variable?
Back
To calculate the expected value (E(X)), use the formula: E(X) = Σ [x * P(x)], where x is a value and P(x) is its probability.
Tags
CCSS.HSS.MD.A.2
3.
FLASHCARD QUESTION
Front
What does it mean if the expected value is greater than the average of the outcomes?
Back
It indicates that the outcomes are skewed towards higher values, suggesting a higher likelihood of obtaining larger results.
Tags
CCSS.HSS.MD.A.2
4.
FLASHCARD QUESTION
Front
What is a probability distribution?
Back
A probability distribution describes how the probabilities are distributed over the values of a random variable.
Tags
CCSS.HSS.MD.A.3
CCSS.HSS.MD.A.4
5.
FLASHCARD QUESTION
Front
What is the difference between a probability distribution and a cumulative distribution function (CDF)?
Back
A probability distribution gives the probability of each outcome, while a CDF gives the probability that a random variable is less than or equal to a certain value.
6.
FLASHCARD QUESTION
Front
What is a valid probability distribution?
Back
A valid probability distribution must satisfy two conditions: all probabilities must be between 0 and 1, and the sum of all probabilities must equal 1.
Tags
CCSS.HSS.MD.A.3
CCSS.HSS.MD.A.4
7.
FLASHCARD QUESTION
Front
If a random variable has outcomes 1, 2, and 3 with probabilities 0.2, 0.5, and 0.3 respectively, what is the expected value?
Back
E(X) = (1*0.2) + (2*0.5) + (3*0.3) = 0.2 + 1.0 + 0.9 = 2.1.
Tags
CCSS.HSS.MD.A.2
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