et X denote the number of times a certain numerical control machine will malfunction: 1, 2, or 3 times n any given day. Let Y denote the number of times a technician is called on an emergency call. Their int probability distribution is given below: List the cumulative distribution function F(y). - Find the conditional distribution of f (xly), P(X=1 | Y = 3). Find the conditional distribution of f (xlx), P(X=3 | Y=3). Determine if the random variables are statistically independent considering f (2, 1). x f(x, y) 1 2 3 1 0.05 0.05 0.10 3 0.05 0.10 0.35 Y 5 0.00 0.20 0.10

Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter14: Counting And Probability
Section14.2: Probability
Problem 3E: The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the...
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Let X denote the number of times a certain numerical control machine will malfunction: 1, 2, or 3 times
on any given day. Let Y denote the number of times a technician is called on an emergency call. Their
joint probability distribution is given below:
a. List the cumulative distribution function F(y).
b. Find the conditional distribution of f (xly), P(x = 1 | Y = 3).
c. Find the conditional distribution of f (xlx), P(x = 3 | Y = 3).
d. Determine if the random variables are statistically independent considering f (2, 1).
X
f (x, y)
1
2
3
0.05
0.05
0.10
0.05
0.10
0.35
0.00
0.20
0.10
Y
1
3
5
Transcribed Image Text:Let X denote the number of times a certain numerical control machine will malfunction: 1, 2, or 3 times on any given day. Let Y denote the number of times a technician is called on an emergency call. Their joint probability distribution is given below: a. List the cumulative distribution function F(y). b. Find the conditional distribution of f (xly), P(x = 1 | Y = 3). c. Find the conditional distribution of f (xlx), P(x = 3 | Y = 3). d. Determine if the random variables are statistically independent considering f (2, 1). X f (x, y) 1 2 3 0.05 0.05 0.10 0.05 0.10 0.35 0.00 0.20 0.10 Y 1 3 5
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