Math Problem Statement
Find a constant C such that p is a probability density function on the given interval, and compute the probability indicated. p(x) = Cx(4 − x) on [0, 4]; P (3 ≤ X ≤ 4)
Solution
We are given a probability density function (PDF) on the interval , and the task is to find the constant such that is a valid PDF, and then compute the probability .
Step 1: Find the constant
For to be a valid probability density function, the integral of over the given interval must equal 1. This is the normalization condition:
Substituting :
First, expand the expression inside the integral:
Now, integrate term by term:
Compute the individual integrals:
Now substitute these values back into the equation:
Simplify the expression inside the parentheses:
Thus, we have:
Solve for :
Step 2: Compute
Now that we have found , we can compute the probability :
First, expand :
Thus, the integral becomes:
Now, integrate term by term:
Substitute these values back into the integral:
Simplify the expression inside the parentheses:
Thus, the probability becomes:
Final Answer:
The constant is , and the probability .
Would you like further details or have any questions about this process?
Related Questions:
- How do you verify if a given function is a valid probability density function?
- What is the significance of normalization in probability density functions?
- How do you calculate the expected value of a probability density function?
- What happens if the integral of a PDF does not equal 1?
- How would you compute a probability for a continuous distribution with a different interval?
Tip: Always ensure that the total probability for a PDF over its entire range sums to 1. If it doesn't, the function isn't valid as a PDF.
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Math Problem Analysis
Mathematical Concepts
Probability Density Function
Integration
Normalization
Definite Integral
Formulas
∫ p(x) dx = 1 (Normalization condition)
P(a ≤ X ≤ b) = ∫[a,b] p(x) dx
Theorems
Normalization of probability density functions
Properties of definite integrals
Suitable Grade Level
Grades 11-12
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