2. The blood groups of 200 people are distributed as follows: 40 have type A blood, 75 have type B blood, 60 have type O blood, and 25 have type AB blood. If a person from any of the group is selected at random, what is the probability that this person has an O blood type? How about the AB blood type? 3. The number of accidents in a production facility has a Poisson distribution with a mean of 2.7 per month. For a given month, what is the probability that there will be more than three (3) accidents?
2. The blood groups of 200 people are distributed as follows: 40 have type A blood, 75 have type B blood, 60 have type O blood, and 25 have type AB blood. If a person from any of the group is selected at random, what is the probability that this person has an O blood type? How about the AB blood type? 3. The number of accidents in a production facility has a Poisson distribution with a mean of 2.7 per month. For a given month, what is the probability that there will be more than three (3) accidents?
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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pls answer 2-3 on paper
Transcribed Image Text:1. The weight of goats at a farm is normally distributed with a mean of 60 kg and a standard
deviation of 10 kg. A truck used to transport goats can only accommodate not more than 650
kg. If 10 goats are selected at random from the population, what is the probability that the
total weight exceeds the maximum weight?
2. The blood groups of 200 people are distributed as follows: 40 have type A blood, 75 have type
B blood, 60 have type O blood, and 25 have type AB blood. If a person from any of the group is
selected at random, what is the probability that this person has an O blood type? How about
the AB blood type?
3. The number of accidents in a production facility has a Poisson distribution with a mean of 2.7
per month. For a given month, what is the probability that there will be more than three (3)
accidents?
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