tests of a new light led to an estimated mean life of 1,321 hours and standard deviation of 106 hours. the manufacturer will advertise the lifetime of the bulb using the largest value for which it is expected that 90% of the will last at least that long. assuming bulb life is normally distributed,find that advertised value
tests of a new light led to an estimated mean life of 1,321 hours and standard...
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?
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.
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 775 hours. A random sample of 23 light bulbs has a mean life of 763 hours. Assume the population is normally distributed and the population standard deviation is 64 hours. At alpha equals 0.08, do you have enough evidence to reject the manufacturer's claim? Complete parts (b) through (d) (b) Identify the critical value(s). Use technology. (c) Identify the standardized test...
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?
A light bulb manufacturer wants to compare the mean lifetimes of two of its light bulbs, model A and model B. Independent random samples of the two models were taken. Analysis of 11 bulbs of model A showed a mean lifetime of 1345 hours and a standard deviation of 102 hours. Analysis of 15 bulbs of model B showed a mean lifetime of 1389 hours and a standard deviation of 82 hours. Assume that the populations of lifetimes for each...
A light bulb manufacturer claims that the mean life of a certain type of light bulb is 750 hours. If a random sample of 36 light bulbs has a mean life of 725 hours with a standard deviation of 60 hours. Use a=0.05a. State the null and alternative hypotheses.b. State the Type I and Type II errors.c. Find the critical value. Do you have enough evidence to reject the manufacturer’s claim?d. Find the p-value.e. Construct a 95% confidence interval for...
Light bulbs with a stated mean lifetime of 750 hours have been stored in a warehouse for years . A sample of 10 of these bulbs is selected at random and destructively tested . The results of this sample gave a mean of 720 hours with a standard deviation of 40 hours . You wish to test whether prolong storage has significantly reduced the life expectancy of these light bulbs . You can assume that bulb lifetime is normally distributed....
please answer neatly and correctly! light bulb manufacturer wants to compare the mean lifetimes of two of its light bulbs, model A and model B. Independent random samples of the two models were taken. Analysis of 9 bulbs of model A showed a mean lifetime of 1234 hours and a standard deviation of 81 hours. Analysis of 15 bulbs of model B showed a mean lifetime of 1391 hours and a standard deviation of 110 hours. Assume that the populations...
The lifetime of lightbulbs that are advertised to last for 6500 hours are normally distributed with a mean of 6700 hours and a standard deviation of 300 hours. What is the probability that a bulb lasts longer than the advertised figure? Probability =