5. Suppose it is known that the life X of a particular compressor, in hours, has the density function f (2) = {300 0, -z/900 x > 0, elsewhere. a. Find the mean life of the compressor. b. Find E(X²). c. Find the variance and standard deviation of the random variable X.

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...
icon
Related questions
Question

Please answer number 5.

OUM
College of Arts and Sciences Education
General Education - Mathematics
2nd Floor, DPT Building, Matina Campus, Davao City
Phone No.: (082)j300-5456/305-0647 Local 134
The University of Mindanao
Let's Check
Answer the following completely.
1. Suppose that the probabilities are 0.4, 0.3, 0.2, and 0.1, respectively, that 0, 1, 2, or 3
power failures will strike a certain subdivision in any given year. Find the mean and
variance of the random variable X representing the number of power failures striking
this subdivision.
2. Let X be a random variable with the following probability distribution:
-3
6
9.
1/2 1/3
Find o?
gx) for the function g(X) = 3X²+ 4.
3. The random variable X, representing the number of errors per 100 lines of software
code, has the following probability distribution:
3 4
5
6.
0.01
0.25
0.4
0.3
0.04
Find the variance of X.
4. For a laboratory assignment, if the equipment is working, the density function of the
observed outcome X is
S2(1 – x), 0 < x < 1,
10,
f(x)
otherwise.
Find the variance and standard deviation of X.
OUM
College of Arts and Sciences Education
General Education - Mathematics
2nd Floor, DPT Building, Matina Campus, Davao City
Phone No.: (082)300-5456/305-0647 Local 134
The University of Mindanao
5. Suppose it is known that the life X of a particular compressor, in hours, has the density
function
-z/900
x > 0,
elsewhere.
e
f (x) = { 90
a. Find the mean life of the compressor.
b. Find E(X²).
c. Find the variance and standard deviation of the random variable X.
- End -
Transcribed Image Text:OUM College of Arts and Sciences Education General Education - Mathematics 2nd Floor, DPT Building, Matina Campus, Davao City Phone No.: (082)j300-5456/305-0647 Local 134 The University of Mindanao Let's Check Answer the following completely. 1. Suppose that the probabilities are 0.4, 0.3, 0.2, and 0.1, respectively, that 0, 1, 2, or 3 power failures will strike a certain subdivision in any given year. Find the mean and variance of the random variable X representing the number of power failures striking this subdivision. 2. Let X be a random variable with the following probability distribution: -3 6 9. 1/2 1/3 Find o? gx) for the function g(X) = 3X²+ 4. 3. The random variable X, representing the number of errors per 100 lines of software code, has the following probability distribution: 3 4 5 6. 0.01 0.25 0.4 0.3 0.04 Find the variance of X. 4. For a laboratory assignment, if the equipment is working, the density function of the observed outcome X is S2(1 – x), 0 < x < 1, 10, f(x) otherwise. Find the variance and standard deviation of X. OUM College of Arts and Sciences Education General Education - Mathematics 2nd Floor, DPT Building, Matina Campus, Davao City Phone No.: (082)300-5456/305-0647 Local 134 The University of Mindanao 5. Suppose it is known that the life X of a particular compressor, in hours, has the density function -z/900 x > 0, elsewhere. e f (x) = { 90 a. Find the mean life of the compressor. b. Find E(X²). c. Find the variance and standard deviation of the random variable X. - End -
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 5 images

Blurred answer
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON