1. 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 52 lightbulbs is taken. What is the probability that the average lifetime of these bulbs is greater than 24.32 months? Answer is 0.1251
5. fill amounts of jars of peanuts from a certain factors are known to follow a Normal distribution with mean 454g and standard deviation 15g. Suppose that a random sample of 8 jars is taken. What is the probability that the average weight of this sample is between 451g and 456g? Answer is 0.3637
A certain statistical test is designed so that it fails 2% of the time. Suppose that 700 of these tests are randomly selected, and we wish to calculate the proportion of these tests that result in a failure. What is the probability that less than 2.5% of these tests end in failure? Answer is 0.8264
Consider the answers you gave in questions 1, 5, and 7. Were these answers exact, or approximate?
Select one:
a. Exact, Approximate, Exact.
b. Exact, Approximate, Approximate.
c. Approximate, Approximate, Approximate.
d. Approximate, Exact, Exact.
e. Approximate, Approximate, Exact.
f. Approximate, Exact, Approximate.
g. Exact, Exact, Approximate.
h. Exact, Exact, Exact.
1)since 1st distribution is not normal it is an approximation
5) it is normally distributed therefore exact
it is normal approximation of binomial distribution, therefore approximation
correct option is :
f. Approximate, Exact, Approximate.
1. Lifetimes of a certain brand of lightbulbs is known to follow a right-skewed distribution with...
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...
Question 4 (2 points) The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,500 hours and a standard deviation of 400 hours. A random sample of 64 of these light bulbs is taken. The probability is 0.15 that the sample mean lifetime is more than how many hours? 1) 1670 2) 1548 3) 1552 4) 1652
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 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
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
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):
The lifetime of a certain brand of industrial light bulb, Y, is assumed to follow gamma(a = 3,8 = 6). A random sample Yı,...,Yn of n = 25 light bulbs will be taken. Approximate the probability that the sample mean Y will be larger than 21.
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...
Chest circumferences of adult males are known to follow a Normal distribution with mean 40 inches and standard deviation 2.1 inches. Suppose we collect a random sample of 66 adult males. What is the probability that the average chest circumference of this group will be exactly 39.97 inches? Select one: a. We cannot answer this question with the information given. b. 0.9400 c. 0.8264 d. 0.1736 e. 0.0000