8. In a certain city, the number of power outages per year is a random variable, having a distribution with mean 11.6 and standard deviation 3.3. If this distribution is normal, what is the probability that: a) There will be at least 15 outages in any year? P(x >= 15) = 1- P(x = 15) = 1 – ø(1.03) = 1-0.8485= 0.1515 b) There will be between 12 and 15 outages in any year? P(12< X <15) = P(X = 15) – P(X = 12) = $(15-11.6)-$(12-11.6) 3.3 = 0.8485-0.5478 = 0.3007 3.3
8. In a certain city, the number of power outages per year is a random variable, having a distribution with mean 11.6 and standard deviation 3.3. If this distribution is normal, what is the probability that: a) There will be at least 15 outages in any year? P(x >= 15) = 1- P(x = 15) = 1 – ø(1.03) = 1-0.8485= 0.1515 b) There will be between 12 and 15 outages in any year? P(12< X <15) = P(X = 15) – P(X = 12) = $(15-11.6)-$(12-11.6) 3.3 = 0.8485-0.5478 = 0.3007 3.3
A First Course in Probability (10th Edition)
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![8. In a certain city, the number of power outages per year is a random variable, having a distribution
with mean 11.6 and standard deviation 3.3. If this distribution is normal, what is the probability that:
a) There will be at least 15 outages in any year?
P(x >= 15)=1- P(x = 15) = 1− ¢(1.03) = 1-0.8485 = 0.1515
b) There will be between 12 and 15 outages in any year?
P(12< X <15) = P(X = 15) – P(X=12)
= $(¹5–11.6)-$(¹2-11.6,
3.3
= 0.8485-0.5478
= 0.3007
3.3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fece3d40f-e8f0-464a-aada-c18e494e1994%2F4f9ceb0a-f30b-49f5-a231-cf0974a8151c%2F1llt6xo_processed.png&w=3840&q=75)
Transcribed Image Text:8. In a certain city, the number of power outages per year is a random variable, having a distribution
with mean 11.6 and standard deviation 3.3. If this distribution is normal, what is the probability that:
a) There will be at least 15 outages in any year?
P(x >= 15)=1- P(x = 15) = 1− ¢(1.03) = 1-0.8485 = 0.1515
b) There will be between 12 and 15 outages in any year?
P(12< X <15) = P(X = 15) – P(X=12)
= $(¹5–11.6)-$(¹2-11.6,
3.3
= 0.8485-0.5478
= 0.3007
3.3
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