Lightbulb lifetimes follow an unknown distribution, with a mean length of 10780 hours and a standard deviation of 370 hours. Suppose that a sample of 61 lightbulbs is taken. What is the probability that the total lifetime of these lightbulbs is less than 656193 hours?
Select one:
a. 1.0000
b. 0.4800
c. We cannot answer this question with the information given.
d. 0.6844
e. 0.3156
The solution to this problem is given by
Lightbulb lifetimes follow an unknown distribution, with a mean length of 10780 hours and a standard...
Question 5: Lightbulb lifetimes follow an unknown distribution, with a mean length of 10780 hours and a standard deviation of 370 hours. Suppose that a sample of 61 lightbulbs is taken. What is the probability that the total lifetime of these lightbulbs is less than 656193 hours?
Lightbulb lifetimes follow an unknown distribution, with a mean length of 10702 hours and a standard deviation of 325 hours. Suppose that a sample of 72 lightbulbs is taken. What is the probability that the total lifetime of these lightbulbs is less than 768751 hours? Select one O a We cannot answer this question with the information given. O b.0.6500 c. 1.0000 od 0 7421 0.0.2579
Lifetimes of a certain brand of lightbulbs is known to follow a right-skewed distribution with mean 24 months and standard deviation 2 months. Suppose that a sample of 14 lightbulbs is taken. What is the probability that the average lifetime of these bulbs is less than 23.5 months? Select one: a. Not enough information has been given to answer the question. b. 0.1736 c. 0.0000 d. 0.0000 e. 0.8264 f. 0.3472
Lifetimes of a certain brand of lightbulbs is known to follow a right-skewed distribution with mean 24 months and standard deviation 2 months. Suppose that a sample of 41 lightbulbs is taken. What is the probability that the total lifetime of these bulbs is less than 975 months? Select one: a. 0.7580 b. Not enough information has been given to answer the question. c. 0.0000 d. 0.5160 e. 0.2420 f. 0.4840 Select one: a. 0.7580 b. Not enough information has...
Life expectancy in a country is known to follow a left-skewed distribution with a mean value of 78.26 years and a standard deviation of 4.29 years. Suppose we take a random sample of 8 members of this country, and calculate their average life expectancy. What is the probably that this sample has an average value of at most 78.52 years? Select one: a. 0.6844 b. 0.9127 c. 0.4800 d. 0.3156 e. We cannot answer this question with the information given.
Fluorescent lighbulbs have lifetimes that follow a normal distribution, with an average life of 1,725 days and a standard deviation of 1,462 hours. In the production process the manufacturer draws random samples of 215 lightbulbs and determines the mean lifetime of the sample. What would be the standard deviation, in hours, of the sampling distribution? Std. dev. of sample means (1 decimal place):
Suppose we model light bulb lifetimes as having normal distribution with mean and standard deviation 500 and 50 hours, respectively. Find the value of d such that 30% of all light bulbs have lifetime more than d.
answer a-f, clearly show the steps thanks 1. . The lifetimes of light bulbs produced by a particular manufacturer have mean 1,200 hours and standard deviation 400 hours, The population distribution is normal. Suppose that you purchase 16 bulbs, which can be regarded as a random sample from the' manufacturer's output. a)What is the mean of the sample mean lifetime? Explain. bWhat is the standard error of the sample mean? Explain. c)What is the probability that, on average, these 16...
Suppose completion times, in minutes, for new marketing ads have an unknown distribution with mean 296 and standard deviation 37 minutes. A sample of size n = 52 is randomly taken from the population and the mean is taken. Using the Central Limit Theorem for Means, what is the standard deviation for the sample mean distribution? Select the correct answer below: O 0.71 O4.10 05.13 06.16 7.70 O 3700
Suppose pages per book in a library have an unknown distribution with mean 297 and standard deviation 25 pages. A sample of size n = 75 is randomly taken from the population and the sum of the values is taken. Using the Central Limit Theorem for Sums, what is the standard deviation for the sample sum distribution? Select the correct answer below O 2.89 O 216.51 O 270.63 O 324.76 O 368.0 ○ 1875.00