Value is obtained from standard normal table
8. A manufacturing company of light bulb claims that an average light bulb lasts 500 days....
(Sec. 4.3) An average light bulb manufactured at The Lightbulb Company lasts and average of 300 days, with a standard deviation of 50 days. Suppose the lifespan of a light bulb from this company is normally distributed. (a) What is the probability that a light bulb from this company lasts less than 210 days? More than 330 days? (b) What is the probability that a light bulb from this company lasts between 280 and 380 days? (c) How would you...
On average a light bulb can last for 500 days. Suppose the life of a light bulb follows an exponential distribution. What is the probability that the light bulb can last for another 400 days given that it has been lasted for 100 days? 0.5501 0.3679 0.0000 0.4493
A manufacturer of LCD projector light bulbs is testing a new light bulb manufacturing process. They want to improve the longevity of these light bulbs they produce. However, due to the high cost associates with switching over to the new manufacturing process, they can only do so if there is clear evidence that the new production method is superior to their current production method, in terms of longer lasting LCD light bulbs To test this, they randomly pick a sample...
Professor Sun’s home uses two light bulbs. On average, a light bulb lasts for 22 days (exponentially distributed). When a light bulb burns out, it takes an average of 2 days (exponentially distributed) before he replaces the bulb. (a) Formulate a three-state birth-death model of this situation. (b) Determine the fraction of the time that both light bulbs are working. (c) Determine the fraction of the time that no light bulbs are working.
Suppose the manufacturer claims that the mean lifetime of a light bulb is more than 10,000 hours. In a sample of 30 light bulbs, it was found that they only last 9,900 hours on average. Assume the population standard deviation is 120 hours. At 0.05 significance level, can we reject the claim by the manufacturer? Select one: a. We reject the claim b. We accept the claim
An electrical firm manufactures a certain type of LED light bulb and claims that the average bulb lifetime is at least 800 hours. To test this, a random sample of 60 bulbs is taken. The average life of the sample is found to be 788 hours with a standard deviation of 40 hours.(a) At a level of 0.05 significance, is there compelling evidence to doubt the comp any's claim? Be sure to state the appropriate hypotheses, and specify the rejection...
If a light bulb manufacturing company wants to estimate, with 99% confidence, the mean life of compact fluorescent light bulbs to within plus/minus 150 hours and also assumes that the population standard deviation is 1100 hours, how many compact fluorescent light bulbs need to be selected? Stats and probability
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 51 hours or less? (c) What proportion of light bulbs will last between 59 and 61 hours? (d) What is the probability that a randomly selected light bulb lasts...
A manufacturer of light bulbs advertises that, on average, its long-life bulb will last more than 5500hours. To test this claim, a statistician took a random sample of 90 bulbs and measured the amount of time until each bulb burned out. The mean lifetime of the sample of bulbs is 5551 hours and has a standard deviation of 420 hours. Can we conclude with 99% confidence that the claim is true? Fill in the requested information below. (a) The value...
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 62 hours? (b) What proportion of light bulbs will last 50 hours or less? (c) What proportion of light bulbs will last between 58 and 62 hours? (d) What is the probability that a randomly selected light bulb lasts...