Math Problem Statement
If π X is a random variable with probability density function π ( π₯ ) f(x), then the expected value of π 3 X 3 is given by:
A. πΈ ( π 3 )
β« π₯ 3 / 2 π ( π₯ ) π π₯ E(X 3 )=β«x 3/2 f(x)dx B. πΈ ( π 3 )
β« π₯ 3 π ( π₯ ) π π₯ E(X 3 )=β«x 3 f(x)dx C. πΈ ( π 3 )
β« π₯ 6 π ( π₯ ) π π₯ E(X 3 )=β«x 6 f(x)dx D. πΈ ( π 3 )
β« π₯ 4 π ( π₯ ) π π₯ E(X 3 )=β«x 4 f(x)dx
Solution
The expected value of for a random variable with probability density function is calculated using the definition of expected value:
This means we multiply the function by the probability density function , and integrate over the range where is defined.
Thus, the correct answer is:
B.
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5 Related Questions:
- What is the general formula for the expected value of for any ?
- How does the concept of expected value extend to discrete random variables?
- Can the expected value of be negative? Under what conditions?
- What is the difference between the expected value and the variance of a random variable?
- How do we calculate the expected value if the probability density function is piecewise?
Tip:
Always check that the probability density function satisfies the properties of being non-negative and integrates to 1 over its domain.
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Math Problem Analysis
Mathematical Concepts
Expected Value
Probability Density Function
Integration
Formulas
E(X^n) = β«x^n f(x) dx
Theorems
Definition of Expected Value for Continuous Random Variables
Suitable Grade Level
Undergraduate - Probability and Statistics
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