Question

In: Statistics and Probability

The manager of a firm announced: “The lightbulbs produced by our firm have a mean lifetime...

The manager of a firm announced: “The lightbulbs produced by our firm have a mean lifetime of 2,500 hours, with a standard deviation of 250 hours; thus, it follows that approximately 95 percent of our lightbulbs last between 2000 and 3,000 hours.”

What was the manager assuming?

What if the assumption did not hold – what percentage of the lightbulbs could you expect would last between 2,000 and 3,000 hours?

Solutions

Expert Solution

Solution:

Given that,

= 2500

= 250

p ( 2000 < x  < 3000 )

= p( 2000 - 2500 / 250 ) ( x -  / ) < ( 3000 - 2500 / 250)

= p ( - 500 / 250 < z < 500 /250 )

= p ( - 2 < z < 2)

= p (z < 2 ) - p ( z < - .2 )

Using z table

= 0.9772 - 0.0228

= 0.9544

Probability = 0.9544 = 95.44%


Related Solutions

A sample of 81 60-watt lightbulbs produced by Dynamics, Inc. obtained a mean lifetime of 1347...
A sample of 81 60-watt lightbulbs produced by Dynamics, Inc. obtained a mean lifetime of 1347 hours with a variance of 729 hours. A sample of 50 60-watt lightbulbs produced by National Electronics Corporation obtained a mean lifetime of 1282 hours with a variance of 800 hours. a) Calculate a 99% confidence interval for μ1- μ2, the difference between the true mean lifetimes of the two type of lightbulbs. Answer to one decimal place, the lower bound and the upper...
A sample of 81 60-watt lightbulbs produced by Dynamics, Inc. obtained a mean lifetime of 1347...
A sample of 81 60-watt lightbulbs produced by Dynamics, Inc. obtained a mean lifetime of 1347 hours with a variance of 729 hours. A sample of 50 60-watt lightbulbs produced by National Electronics Corporation obtained a mean lifetime of 1282 hours with a variance of 800 hours. a) Calculate a 99% confidence interval for μ1- μ2, the difference between the true mean lifetimes of the two type of lightbulbs. Answer to one decimal place, the lower bound and the upper...
The lifetime of a certain brand of lightbulbs is normally distributed with the mean of 3800...
The lifetime of a certain brand of lightbulbs is normally distributed with the mean of 3800 hours and standard deviation of 250 hours. The probability that randomly selected lightbulb will have lifetime more than 3500 hours is ________ The percent of lightbulbs which have the lifetime between 3500 and 4200 hours is __________ What lifetime should the manufacturer advertise for these lightbulbs if he assumes that 10% of lightbulbs with the smallest lifetimes will burn out by that time? Advertised...
A light fixture contains five lightbulbs. The lifetime of each bulb is exponentially distributed with mean...
A light fixture contains five lightbulbs. The lifetime of each bulb is exponentially distributed with mean 196 hours. Whenever a bulb burns out, it is replaced. Let T be the time of the first bulb replacement. Let Xi, i = 1, . . . , 5, be the lifetimes of the five bulbs. Assume the lifetimes of the bulbs are independent. a. Find P(X1 > 100). b. Find P(X1 > 100 and X2 > 100 and • • • and...
A light fixture contains five lightbulbs. The lifetime of each bulb is exponentially distributed with mean...
A light fixture contains five lightbulbs. The lifetime of each bulb is exponentially distributed with mean 205 hours. Whenever a bulb burns out, it is replaced. Let T be the time of the first bulb replacement. Let XiXi , i = 1, . . . , 5, be the lifetimes of the five bulbs. Assume the lifetimes of the bulbs are independent. 1-Find P( X1X1  > 100). 2-Find P( X1X1 > 100 and   X2X2 > 100 and • • • and...
Transistors produced by one machine have a lifetime that is exponential distributed with mean 50 hours....
Transistors produced by one machine have a lifetime that is exponential distributed with mean 50 hours. Those produced by another machine have a lifetime that is exponential distributed with mean 100 hours. A package of transistors contains 3 produced by the first machine and 9 produced by the second machine. Let X be the lifetime of a transistor picked at random from this package. Find: (a) the cdf of X (b) P(X > 150) (c) the pdf of X (d)...
The lifetime of batteries produced are independent with an exponential distribution having a mean of 90...
The lifetime of batteries produced are independent with an exponential distribution having a mean of 90 days of continuous use. Consider a random selection of 250 batteries. (a) Find the exact probability that at least 50 of these batteries have a lifetime between 60 and 120 days using a binomial modeling approach. (b) Find the exact probability that at least 50 of these batteries have a lifetime between 60 and 120 days using a Poisson modeling approach. (c) Approximate your...
Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The...
Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The price of these bulbs is very favorable, so a potential customer has decided to move forward with a purchase agreement unless it can be demonstrated that the true average lifetime is smaller than what is advertised. A random sample of 50 lightbulbs was selected, the lifetime of each bulb determined, and the appropriate hypotheses were tested using computer software, which gave the following results....
Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The...
Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The price of these bulbs is very favorable, so a potential customer has decided to go ahead with a purchase arrangement unless it can be conclusively demonstrated that the true average lifetime is smaller than what is advertised. A random sample of 42 bulbs was selected, the lifetime of each bulb determined, and the appropriate hypotheses were tested using MINITAB, resulting in the accompanying output....
Grear Tire Company has produced a new tire with an estimated mean lifetime mileage of 36,500...
Grear Tire Company has produced a new tire with an estimated mean lifetime mileage of 36,500 miles. Management also believes that the standard deviation is 5000 miles and that tire mileage is normally distributed. To promote the new tire, Grear has offered to refund some money if the tire fails to reach 30,000 miles before the tire needs to be replaced. Specifically, for tires with a lifetime below 30,000 miles, Grear will refund a customer $1 per 100 miles short...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT