O An electrical firm manufactures lightbulbs that have a length of life thatis normally distributted with meanequal to (800) hours and a standarddeviation of (40) hours. Find theprobabilitythat a bullb burnsbetween 778 and. 834 hours?

Name: O An electrical firm manufactures lightbulbs that have a length of li
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: O An electrical firm manufactures lightbulbs that have a length of life thatis normally distributted with meanequal to (800) hours and a standarddeviation of (40) hours. Find theprobabilitythat a bullb burnsbetween 778 and. 834 hours?

Given that, Mean, mu= 800 Standard deviation, sigma= 40 We know that, Z Score= (X-mu)/sigma

Math

Probability

O An electrical firm manufactures light bulbs that have a length of life tha is normally distributed with mean equal to (800) hours and a standard deviation of (40) hours. Find the probabilitythat a bulbo burns between-778 and 834 hours?

O An electrical firm manufactures light bulbs that have a length of life tha is normally distributed with mean equal to (800) hours and a standard deviation of (40) hours. Find the probabilitythat a bulbo burns between-778 and 834 hours?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

The time spent waiting in the line is approximately normally distributed. The mean waiting time is 55 minutes and the standard deviation of the waiting time is 22 minutes. Find the probability that a person will wait for less than 99 minutes. Round your answer to four decimal places.
Assume that adults have IQ scores that are normally distributed with a mean of 99.9 and a standard deviation of 24.5. find the probability that a randomly selected adult has an IQ greater than 134.1. (round to four decimal places as needed)
Assume that adults have IQ scores that are normally distributed with a mean of μ=100 and a standard deviation σ=15. Find the probability that a randomly selected adult has an IQ between 89 and 111.
Assume that adults have IQ scores that are normally distributed with a mean of 96.1 and a standard deviation of 18.1. Find the probability that a randomly selected adult has an IQ greater than 129.0. The probability that a randomly selected adult from this group has an IQ greater thanb 129.0 is (Round to four decimal places as needed.)
The average American man consumes 9.9 grams of sodium each day. Suppose that the sodium consumption of American men is normally distributed with a standard deviation of 0.8 grams. Suppose an American man is randomly chosen Let X-the amount of sodium consumed. Round all numeric answers to 4 decimal places where possible a What is the distribution of X? X N b. Find the probability that this American man consumes between 9.7 and 10.5 grams of sodium per day c. The middle 10% of American men consume between what two weights of sodium? Low High
Q2 It is known that the average mark in a first-year math course exam is normally distributed with a mean of 63 and a standard deviation of 10. Using this information, find 1. The probability that the average exam mark will exceed 75. 2. The probability that the average exam mark will be less than 50. 3. The probability that the average exam mark will lie between 75 and 90. Q3 It is known that the time to failure, in years, of an electronic component is exponentially distributed with λ = 0.2. 1. What is the average time to failure, in years, of this component? 2. Calculate the probability that the time to failure of this component is between 4 and 6 years. 3. What is the expected time to failure of this component if we know it has already lasted 5 years?
Assume that readings on thermometers are normally distributed with a mean of 0 and a standard deviation of 1. A thermometer is selected at random. Find the probability that the reading is less than -2.08
Q2: The life of a semiconductor laser at a constant power is normally distributed with a mean of 7500 hours and a standard deviation of 500 hours. a. What is the probability that a laser fails before 5500 hours? b. What is the probability that a laser lasts more than 8250 hours? c. What is the life in hours that 95% of the lasers exceed?
Assume that adults have IQ scores that are normally distributed with a mean of μ=105 and a standard deviation σ=20. Find the probability that a randomly selected adult has an IQ between 93 and 117.
The lifetime (Y) of a semiconductor laser has a lognormal distribution with a mean of 10 and a standard deviation of 5. a. Calculate the parameters of the lognormal distribution. b. Determine the probability that a lifetime exceeds 10,000 hours. c. Determine the lifetime that is exceeded by 90% of lasers.
Los Angeles workers have an average commute of 31 minutes. Suppose the LA commute time is normally distributed with a standard deviation of 13 minutes. Let X represent the commute time for a randomly selected LA worker. Round all answers to 4 decimal places where possible.a. Find the probability that a randomly selected LA worker has a commute that is longer than 27 minutes. b. Find the 70th percentile for the commute time of LA workers. minutes
The percent of fat calories that a person consumes each day is normally distributed with a mean of about 35 and a standard deviation of about ten. Suppose that 9 individuals are randomly chosen. Let X = average percent of fat calories. For the group of 9, find the probability that the average percent of fat calories consumed is more than six. (Round your answer to four decimal places.)