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The cumulative distribution function (CDF) of a continuous random variable Y is as follows: y < 2 2 ≤ y < 5 F(y) = 0 (y-2)² 18 1 - 1 (8-y)² 18 5 ≤ y ≤ 8 y ≥ 8 Use the CDF to compute for the following probabilities:

The cumulative distribution function (CDF) of a continuous random variable Y is as follows: y < 2 2 ≤ y < 5 F(y) = 0 (y-2)² 18 1 - 1 (8-y)² 18 5 ≤ y ≤ 8 y ≥ 8 Use the CDF to compute for the following probabilities:

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please answer the last items only (20, 21 and 22)
The cumulative distribution function (CDF) of a continuous random variable Y is as follows: y < 2 2 ≤ y < 5 F(y) = 0 (y-2)² 18 1 - 1 (8-y)² 18 5 ≤ y ≤ 8 y ≥ 8 Use the CDF to compute for the following probabilities:
Transcribed Image Text:The cumulative distribution function (CDF) of a continuous random variable Y is as follows: y < 2 2 ≤ y < 5 F(y) = 0 (y-2)² 18 1 - 1 (8-y)² 18 5 ≤ y ≤ 8 y ≥ 8 Use the CDF to compute for the following probabilities:
Use the CDF to compute for the following probabilities: 18. P(YS -1.6) 192(X>0.75)--- 20. P(Y > 2.3) 21. P(-0.5 ≤Y < 14) 22. P(1.5 <Y ≤ 15.2)
Transcribed Image Text:Use the CDF to compute for the following probabilities: 18. P(YS -1.6) 192(X>0.75)--- 20. P(Y > 2.3) 21. P(-0.5 ≤Y < 14) 22. P(1.5 <Y ≤ 15.2)
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