Q4. The probability density function of the RV X is f(x) = 5e-kx for x 20. Find 2) bslubsriba ni Hit (di a) the value of k. tions: b) the probability that x>1. 0.95 c) If Y~N(2,2). X and Y are independent, then find the P(0.25 ≤ x ≤ 0.5 and 0.1 ≤ y ≤ 0). ods art ni iau bulev 19 (otsv 15/4 apolov Isisini novi faci prli vino be
Q4. The probability density function of the RV X is f(x) = 5e-kx for x 20. Find 2) bslubsriba ni Hit (di a) the value of k. tions: b) the probability that x>1. 0.95 c) If Y~N(2,2). X and Y are independent, then find the P(0.25 ≤ x ≤ 0.5 and 0.1 ≤ y ≤ 0). ods art ni iau bulev 19 (otsv 15/4 apolov Isisini novi faci prli vino be
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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![### Probability and Statistics Problem Set
**Problem Q4:**
The probability density function (PDF) of the random variable (RV) \( X \) is given by:
\[ f(x) = 5e^{-kx} \text{ for } x \geq 0. \]
Tasks:
a) Determine the value of \( k \).
b) Calculate the probability that \( X > 1 \).
c) Given \( Y \sim N(2, 2) \) and \( X \) and \( Y \) are independent, find the probability:
\[ P(0.25 \leq X \leq 0.5 \text{ and } 0.1 \leq Y \leq 0). \]
**Notes:**
- Utilize integration to solve part (a) for \( k \) to ensure the total area under the PDF is equal to 1.
- For part (b), use the cumulative distribution function (CDF) or direct integration.
- To solve part (c), calculate the probabilities separately for independent events, using properties of the normal distribution for \( Y \).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3af11e6a-2a61-4302-a4ee-f3c4efdfe331%2F56607e77-211d-4b12-9c6e-a4fc2f6c8fd8%2Fev5652_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Probability and Statistics Problem Set
**Problem Q4:**
The probability density function (PDF) of the random variable (RV) \( X \) is given by:
\[ f(x) = 5e^{-kx} \text{ for } x \geq 0. \]
Tasks:
a) Determine the value of \( k \).
b) Calculate the probability that \( X > 1 \).
c) Given \( Y \sim N(2, 2) \) and \( X \) and \( Y \) are independent, find the probability:
\[ P(0.25 \leq X \leq 0.5 \text{ and } 0.1 \leq Y \leq 0). \]
**Notes:**
- Utilize integration to solve part (a) for \( k \) to ensure the total area under the PDF is equal to 1.
- For part (b), use the cumulative distribution function (CDF) or direct integration.
- To solve part (c), calculate the probabilities separately for independent events, using properties of the normal distribution for \( Y \).
Expert Solution
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Step 1
The pdf of X is .
Step by step
Solved in 6 steps with 2 images
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