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ANSWER QUESTION 3.8.2 using cdf below 3.4.1 Discrete random variable Y has the CDF F_(Y)(y) as shown: F_(Y)(y) y Use the CDF to find the following probabilities: (a) P[Y]<[1] and P[Y]<=[1] (b) P[Y]>[2] and P[Y]>=[2] (c) P[Y]=[3] and P[Y]>[3] (d) P_(Y)(y) 3.8.2 Find the variance of the random variable Y in Problem 3.4.1.

Name: answer question 382 using cdf below 341 discrete random variable y has the cdf fyy as shown fyy y use the cdf to find the following probabilities a py1 and py1 b py2 and py2 c py3 and py3 92222
Uploaded: 2023-04-21T07:09:45-08:00
Duration: 2 min 42 s
Channel: Madhur L
Description: answer question 382 using cdf below 341 discrete random variable y has the cdf fyy as shown fyy y use the cdf to find the following probabilities a py1 and py1 b py2 and py2 c py3 and py3 92222

          ANSWER QUESTION 3.8.2 using cdf below
3.4.1 Discrete random variable Y has the CDF F_(Y)(y) as shown:
F_(Y)(y)
y
Use the CDF to find the following probabilities:
(a) P[Y]<[1] and P[Y]<=[1]
(b) P[Y]>[2] and P[Y]>=[2]
(c) P[Y]=[3] and P[Y]>[3]
(d) P_(Y)(y)
3.8.2 Find the variance of the random variable Y in Problem 3.4.1.

Added by Kelly W.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Madhur L

04/21/2023

Step 1

Step 1: Recall that the variance of a discrete random variable Y is calculated using the formula Var(Y) = E(Y^2) - [E(Y)]^2, where E(Y) is the expected value of Y. Show more…

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ANSWER QUESTION 3.8.2 using cdf below 3.4.1 Discrete random variable Y has the CDF F_(Y)(y) as shown: F_(Y)(y) y Use the CDF to find the following probabilities: (a) P[Y]<[1] and P[Y]<=[1] (b) P[Y]>[2] and P[Y]>=[2] (c) P[Y]=[3] and P[Y]>[3] (d) P_(Y)(y) 3.8.2 Find the variance of the random variable Y in Problem 3.4.1.