6) A certain kind of light bulb lasts 1 year on average. What is the probability that a given light bulb will fail in less than a year?

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.CR: Chapter 12 Review
Problem 15CR
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For each problem:

a) Identify whether the best distribution to solve the problem is Binomial, Poisson, or Exponential.

b) Identify the correct value of all associated parameters.

c) Find the indicated probability to 4 decimal places.
Transcribed Image Text:For each problem: a) Identify whether the best distribution to solve the problem is Binomial, Poisson, or Exponential. b) Identify the correct value of all associated parameters. c) Find the indicated probability to 4 decimal places.
### Probability Problems:

**Problem 6:**

"A certain kind of light bulb lasts 1 year on average. What is the probability that a given light bulb will fail in less than a year?"

**Problem 7:**

"Suppose that the expected number of customers at a convenience store is 5 every 20 minutes. In a given 20-minute time period, find the probability of having more than 3 customers."

**Problem 8:**

"Find the probability that an investor makes a profit on 6 of her next 12 investments, assuming independence and a 0.6 chance of making a profit each time."

These problems involve calculating probabilities involving certain events, such as the failure of light bulbs, customer arrival at a store, and investment profits. Understanding these problems requires knowledge of probability theory and statistical distributions.
Transcribed Image Text:### Probability Problems: **Problem 6:** "A certain kind of light bulb lasts 1 year on average. What is the probability that a given light bulb will fail in less than a year?" **Problem 7:** "Suppose that the expected number of customers at a convenience store is 5 every 20 minutes. In a given 20-minute time period, find the probability of having more than 3 customers." **Problem 8:** "Find the probability that an investor makes a profit on 6 of her next 12 investments, assuming independence and a 0.6 chance of making a profit each time." These problems involve calculating probabilities involving certain events, such as the failure of light bulbs, customer arrival at a store, and investment profits. Understanding these problems requires knowledge of probability theory and statistical distributions.
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