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A local zoo imported seven rare birds from a South American country. Suppose that among the seven, three have a fatal disease. As usual, a customs officer must inspect and so he randomly selects three birds and sends them for testing. If we let X denote the number of diseased birds, it can be shown that the probability mass function of X is: if z = 0, 1, 2, 3, px (r) = () otherwise. What is P(1 < X< 2)? O 0.3429 O 0.5143 O 0.6531 O 0.7716 O 0.8571

A local zoo imported seven rare birds from a South American country. Suppose that among the seven, three have a fatal disease. As usual, a customs officer must inspect and so he randomly selects three birds and sends them for testing. If we let X denote the number of diseased birds, it can be shown that the probability mass function of X is: if z = 0, 1, 2, 3, px (r) = () otherwise. What is P(1 < X< 2)? O 0.3429 O 0.5143 O 0.6531 O 0.7716 O 0.8571

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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A local zoo imported seven rare birds from a South American country. Suppose that among the seven, three have a fatal disease. As usual, a customs officer must inspect and so he randomnly selects three birds and sends them for testing. If we let X denote the number of diseased birds, it can be shown that the probability mass function of X is: if r = 0, 1, 2, 3, px (r) = () 0. otherwise. What is P(1 < X < 2)? O 0.3429 O 0.5143 O 0.6531 O 0.7716 O 0.8571
Transcribed Image Text:A local zoo imported seven rare birds from a South American country. Suppose that among the seven, three have a fatal disease. As usual, a customs officer must inspect and so he randomnly selects three birds and sends them for testing. If we let X denote the number of diseased birds, it can be shown that the probability mass function of X is: if r = 0, 1, 2, 3, px (r) = () 0. otherwise. What is P(1 < X < 2)? O 0.3429 O 0.5143 O 0.6531 O 0.7716 O 0.8571
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