The life expectancy of a particular brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. What is the probability that a bulb will last between 1500 and 1650 hours?
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The life expectancy of a particular brand of light bulbs is normally distributed with a mean of 1500 hours and a standard deviation of 75 hours. What is the probability that a bulb will last between 1500 and 1650 hours?
The mean life of a particular brand of light bulb is 1200 hours and the standard deviation is 75 hours. Tests show that the life of the bulb is approximately normally distributed. What is the range of hours that approximately 68% of the bulbs will last?
Suppose a brand of light bulbs is normally distributed, with a mean life of 1700 hr and a standard deviation of 150 hr. Find the probability that a light bulb of that brand lasts between 1415 hr and 1910 hr.
16. In order to determine the life expectancy of a particular type of light bulb manufactured by a lighting company, the corporate quality control officer randomly selected 10 bulbs from the pre-packaging section of the company's production line. The bulbs were subsequently tested in the quality control lab and the following data was recorded. Bulb Life (Hours). 3900 s ildedorg eris al terw.o 4200 weelido motus 4100 3800 4000 4300 3600 cools to Tenwo erTAL Tennib jot emotaus a. Calculate...
The life of light bulbs is distributed normally. The standard deviation of the lifetime is 15 hours and the mean lifetime of a bulb is 580 hours. Find the probability of a bulb lasting for at least 590 hours. Round your answer to four decimal places.
.The life of light bulbs is distributed normally. The standard deviation of the lifetime is 20 hours and the mean lifetime of a bulb is 570 hours. Find the probability of a bulb lasting for at least 597 hours. Round your answer to four decimal places.
Suppose that the life expectancy of a certain brand of non defective light bulbs is normally distributed, with a mean life of 1300 hr and a standard deviationof 150 hr. If 30,000 of these bulbs are produced, how many can be expected to last at least 1300 hr? light bulbs?
Suppose that the lifetimes of light bulbs are approximately normally distributed, with a mean of 57 hours and a standard deviation of 3.5 hours. With this information, answer the following questions. (a) What proportion of light bulbs will last more than 61 hours? (b) What proportion of light bulbs will last 52 hours or less? (c) What proportion of light bulbs will last between 57 and 61 hours? (d) What is the probability that a randomly selected light bulb lasts...
The life in hours of a 75-watt light bulb is known to be normally distributed with = 23 hours. A random sample of 20 bulbs has a mean life of X= 1011 hours. Suppose that we wanted the margin of error in estimating the mean life from the two-sided confidence interval to be five hours at 95% confidence. What sample size should be used? Round up the answer to the nearest integer. Statistical Tables and Charts
The life in hours of a 75-watt light bulb is known to be normally distributed with σ = 27 hours. A random sample of 20 bulbs has a mean life of x Overscript bar EndScripts = 1015 hours. Suppose that we wanted the total width of the two-sided confidence interval on mean life to be six hours at 95% confidence. What sample size should be used? Round up the answer to the nearest integer.
The lifetime of a particular type of light bulb are approximately normally distributed with a mean of 1200 hours and a standard deviation of 140 hours. At what number of hours should the warranty lifetime be set so that only 2% of bulbs must be replaced under warranty?