The random variable X is distributed normally with mean µx and variance 6, and the random variable Y is normally distributed with mean 8 and variance of. 2X – 3Y is distributed normally with mean 12 and variance 42. Calculate the values of µx and oy respectively. Assume independence! O a. Hx = - 6 and oy=2 O b. Hx = 18 and oy=2 O C. Hx = 6 and oy=2 O d. Hx= 12 and oy=42
The random variable X is distributed normally with mean µx and variance 6, and the random variable Y is normally distributed with mean 8 and variance of. 2X – 3Y is distributed normally with mean 12 and variance 42. Calculate the values of µx and oy respectively. Assume independence! O a. Hx = - 6 and oy=2 O b. Hx = 18 and oy=2 O C. Hx = 6 and oy=2 O d. Hx= 12 and oy=42
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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![The problem statement is as follows:
"The random variable \( X \) is distributed normally with mean \( \mu_X \) and variance 6, and the random variable \( Y \) is normally distributed with mean 8 and variance \( \sigma_Y^2 \). \( 2X - 3Y \) is distributed normally with mean 12 and variance 42.
Calculate the values of \( \mu_X \) and \( \sigma_Y \) respectively. Assume independence!"
Options provided are:
- a. \( \mu_X = -6 \) and \( \sigma_Y = 2 \)
- b. \( \mu_X = 18 \) and \( \sigma_Y = \sqrt{2} \)
- c. \( \mu_X = -6 \) and \( \sigma_Y = \sqrt{2} \)
- d. \( \mu_X = 12 \) and \( \sigma_Y = \sqrt{42} \)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fae8ee7c4-79f3-4258-9a28-9911a1447d64%2F2aa0cd87-018b-4dcc-9da4-fd4b3f0b4363%2Fs6ecbg_processed.png&w=3840&q=75)
Transcribed Image Text:The problem statement is as follows:
"The random variable \( X \) is distributed normally with mean \( \mu_X \) and variance 6, and the random variable \( Y \) is normally distributed with mean 8 and variance \( \sigma_Y^2 \). \( 2X - 3Y \) is distributed normally with mean 12 and variance 42.
Calculate the values of \( \mu_X \) and \( \sigma_Y \) respectively. Assume independence!"
Options provided are:
- a. \( \mu_X = -6 \) and \( \sigma_Y = 2 \)
- b. \( \mu_X = 18 \) and \( \sigma_Y = \sqrt{2} \)
- c. \( \mu_X = -6 \) and \( \sigma_Y = \sqrt{2} \)
- d. \( \mu_X = 12 \) and \( \sigma_Y = \sqrt{42} \)
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