A manufacturing company has developed a machine for cleaning carpet that is fuel-efficient because it delivers carpet cleaner so rapidly. Of interest is a random variable Y, the amount in gallons per minute delivered. It is known that the density function is given to the right. Complete parts (a) and (b) below. 2sys6, 4' f(y) = 0, elsewhere (a) Sketch the density function. Choose the correct graph below. A. В. D. Af(y) 1.2- Af(y) 1.2- Af(y) 1.2- Af(y) 12- 0.9- 0.6- 0.9- 0.9- 9- 0.6- 0.6- 6- 0.3- 0.3 0.3 3-

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.6: Quadratic Functions
Problem 37E
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A manufacturing company has developed a machine for
cleaning carpet that is fuel-efficient because it delivers carpet
cleaner so rapidly. Of interest is a random variable Y, the
amount in gallons per minute delivered. It is known that the
density function is given to the right. Complete parts (a) and
(b) below.
2sys6,
f(y)
0, elsewhere
(a) Sketch the density function.
Choose the correct graph below.
O A.
В.
C.
D.
f(y)
1.2-
Af(y)
1.2-
Af(y)
1.2-
Q
Af(y)
12-
0.9-
0.6-
0.9-
0.6-
0.9
9-
0.6-
6-
0.3-
0.3-
0.3-
3-
y
y
y
y
0
0 3
0+
3
04
0.4 0.8 1.2
0+
6
9 12
6.
12
9 12
(b) Give E(Y), E(Y), and Var(Y).
E(Y) =
(Simplify your answer.)
Transcribed Image Text:A manufacturing company has developed a machine for cleaning carpet that is fuel-efficient because it delivers carpet cleaner so rapidly. Of interest is a random variable Y, the amount in gallons per minute delivered. It is known that the density function is given to the right. Complete parts (a) and (b) below. 2sys6, f(y) 0, elsewhere (a) Sketch the density function. Choose the correct graph below. O A. В. C. D. f(y) 1.2- Af(y) 1.2- Af(y) 1.2- Q Af(y) 12- 0.9- 0.6- 0.9- 0.6- 0.9 9- 0.6- 6- 0.3- 0.3- 0.3- 3- y y y y 0 0 3 0+ 3 04 0.4 0.8 1.2 0+ 6 9 12 6. 12 9 12 (b) Give E(Y), E(Y), and Var(Y). E(Y) = (Simplify your answer.)
Expert Solution
Step 1

Probability density also called as distribution function which represents the density of a continuous random variable lying between some values.

The density function is defined for continuous value and the mass function is defined for discrete values.

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