Suppose X₁, X2, and X3 are independent random variables where X₁~ N(μ₁ = 1,0²= 1²) X₂~ N(₂=2,0²2 =2²) X3 ~ N(μ3 = 3,0² = 3²) (a) Let W = X₁ X2. What is the distribution of W? Be sure to state all parameters. Show your work using clear notation

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
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Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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1. Suppose X₁, X2, and X3 are independent random variables where
=
X₁~ N(μ₁ 1,0² = 1²)
X₂ ~ N(₂=2,02 = 2²)
X3 ~ N(μ3 = 3,0²3 = 3²)
(a) Let W = X₁ X2. What is the distribution of W? Be sure to state all parameters. Show your work using
clear notation.
(b) Using your answer in (la), find P(X₁ > X₂). Show your work using clear notation.
(c) Let W = X₁ - 6X2+2X3. What is the distribution of W? Be sure to state all parameters. Show your work
using clear notation.
(d) Using your answer in (1c), find P(X₁ − 6X2 > 5 – 2X3). Show your work using clear notation.
2. An artist makes pottery. There are two major steps: wheel throwing and firing. The time (in minutes) for wheel
throwing can be modeled by a X₁~ N(μ = 40, o² = 22) distribution and the time for firing can be modeled by a
X₂ ~ N(μ = 60,0² = 32) distribution. Assume independence.
(a) Determine the probability that a piece of pottery will be completed in less than 95 minutes.
(b) Determine the probability that a piece of pottery will take longer than 110 minutes.
(c) Determine the probability that 2X₁ > 1.5X₂.
(d) Determine the probability that 2X₁ > X₂ + 15.
(e) Suppose 10 pieces of pottery are randomly selected. Determine the probability that the mean firing time X is
between 58 and 61 minutes.
(f) Suppose 10 pieces of pottery are randomly selected. Let X denote the sample mean firing time. Determine the
10th percentile of X.
(g) Determine the probability that 2 pieces of pottery will take less than 210 minutes using a linear combination.
Think carefully when doing this problem. Note that we can not simply find P(2X₁ +2X₂ < 210). Hint: Let Y₁
denote the completion time for the first piece, and let Y₂ denote the completion time for the second piece.
3. Suppose X₁, X2, and X3 are independent random variables where
X₁ ~ N(μ₁ = μ₁0 = 1²)
X₂ ~ N(μ₂ = μ,0²2 =2²)
X3 ~ N(μ3μ,03 = 3²)
=
If 0.9 = P(5X₁ + 2X2 − 4X3 > 10), find μ.
Transcribed Image Text:1. Suppose X₁, X2, and X3 are independent random variables where = X₁~ N(μ₁ 1,0² = 1²) X₂ ~ N(₂=2,02 = 2²) X3 ~ N(μ3 = 3,0²3 = 3²) (a) Let W = X₁ X2. What is the distribution of W? Be sure to state all parameters. Show your work using clear notation. (b) Using your answer in (la), find P(X₁ > X₂). Show your work using clear notation. (c) Let W = X₁ - 6X2+2X3. What is the distribution of W? Be sure to state all parameters. Show your work using clear notation. (d) Using your answer in (1c), find P(X₁ − 6X2 > 5 – 2X3). Show your work using clear notation. 2. An artist makes pottery. There are two major steps: wheel throwing and firing. The time (in minutes) for wheel throwing can be modeled by a X₁~ N(μ = 40, o² = 22) distribution and the time for firing can be modeled by a X₂ ~ N(μ = 60,0² = 32) distribution. Assume independence. (a) Determine the probability that a piece of pottery will be completed in less than 95 minutes. (b) Determine the probability that a piece of pottery will take longer than 110 minutes. (c) Determine the probability that 2X₁ > 1.5X₂. (d) Determine the probability that 2X₁ > X₂ + 15. (e) Suppose 10 pieces of pottery are randomly selected. Determine the probability that the mean firing time X is between 58 and 61 minutes. (f) Suppose 10 pieces of pottery are randomly selected. Let X denote the sample mean firing time. Determine the 10th percentile of X. (g) Determine the probability that 2 pieces of pottery will take less than 210 minutes using a linear combination. Think carefully when doing this problem. Note that we can not simply find P(2X₁ +2X₂ < 210). Hint: Let Y₁ denote the completion time for the first piece, and let Y₂ denote the completion time for the second piece. 3. Suppose X₁, X2, and X3 are independent random variables where X₁ ~ N(μ₁ = μ₁0 = 1²) X₂ ~ N(μ₂ = μ,0²2 =2²) X3 ~ N(μ3μ,03 = 3²) = If 0.9 = P(5X₁ + 2X2 − 4X3 > 10), find μ.
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