Two methods of measuring surface smoothness are used to evaluate a paper product. The measurements are recorded as deviations from the nominal surface smoothness in coded units. The joint probability distribution of the two measurements is a uniform distribution over the region 0 < x < 4,0 < y, and x – 1 < y < x+ 1. That is.fay (x, y) = c for x and y in the region. Determine the value for c such thatfay (x, y) is a joint probability density function. Round your answers to three decimal places (e.g. 98.765). Determine the following: c = i 0.133 (a) P(X < 0.6, Y < 0.7) = i (b) P(X < 0.6) = i
Two methods of measuring surface smoothness are used to evaluate a paper product. The measurements are recorded as deviations from the nominal surface smoothness in coded units. The joint probability distribution of the two measurements is a uniform distribution over the region 0 < x < 4,0 < y, and x – 1 < y < x+ 1. That is.fay (x, y) = c for x and y in the region. Determine the value for c such thatfay (x, y) is a joint probability density function. Round your answers to three decimal places (e.g. 98.765). Determine the following: c = i 0.133 (a) P(X < 0.6, Y < 0.7) = i (b) P(X < 0.6) = i
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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Transcribed Image Text:Two methods of measuring surface smoothness are used to evaluate a paper product. The measurements are recorded as deviations
from the nominal surface smoothness in coded units. The joint probability distribution of the two measurements is a uniform
distribution over the region 0 < x < 4,0 < y, and x – 1 < y < x+ 1. That is, fay (x, y) = c for x and y in the region. Determine the
value for c such that fay (x, y) is a joint probability density function.
Round your answers to three decimal places (e.g. 98.765).
Determine the following:
c =
i 0.133
(a) P(X < 0.6, Y < 0.7) = i
(b) P(X < 0.6) = i
(c) E(X) = i
(d) E(Y) =
(e) For 0 < x < 1 marginal probability distribution of X is
O 2
-for 0 <x < 1;for 1 <x < 4;Oelsewhere
15
13
45
O x+1
-for 0 < x < 1;- for 1 <x < 4;0 elsewhere
7.5
15
O x+1
-for 0 < x < 1;-n for 1 < x < 4;Oelsewhere
2
12
O x-1
16
-for 0 < x < 1;for 1 <x < 4;0Oelsewhere
7.5
45
o 4
-for 0 < x < 1;for 1 < x < 4; 0elsewhere
15
11
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