Question

In: Statistics and Probability

A simple random sample of 12 e-readers of a certain type had the following minutes of...

A simple random sample of 12 e-readers of a certain type had the following minutes of battery life. 287, 311, 262, 392, 313, 304, 346, 316, 286, 274, 278, 291 Assume that it is reasonable to believe that the population is approximately normal and the population standard deviation is 63. What is the upper bound of the 95% confidence interval for the battery life for all e-readers of this type? Round your answer to one decimal places (for example: 319.4). Write only a number as your answer. Do not write any units.

Solutions

Expert Solution


Related Solutions

A simple random sample of 12 e-readers of a certain type had the following minutes of...
A simple random sample of 12 e-readers of a certain type had the following minutes of battery life. 287, 311, 262, 392, 313, 260, 320, 316, 286, 256, 303, 291 Assume that it is reasonable to believe that the population is approximately normal and the population standard deviation is 76. What is the upper bound of the 95% confidence interval for the battery life for all e-readers of this type? Round your answer to one decimal places (for example: 319.4)....
Question 12 A simple random sample of 12 e-readers of a certain type had the following...
Question 12 A simple random sample of 12 e-readers of a certain type had the following minutes of battery life. 287, 311, 262, 392, 313, 263, 293, 316, 286, 301, 287, 291 Assume that it is reasonable to believe that the population is approximately normal and the population standard deviation is 62. What is the upper bound of the 95% confidence interval for the battery life for all e-readers of this type? Round your answer to one decimal places (for...
A random sample of n = 15 heat pumps of a certain type yielded the following...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0     1.4     6.0     1.9 5.2 0.4     1.0     5.3 15.6 0.9 4.8 0.9     12.4     5.3 0.6 (a) Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.)   , years (b) How should the interval of part...
A random sample of n = 15 heat pumps of a certain type yielded the following...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0     1.4     6.0     1.6 5.1 0.4     1.0     5.3 15.7 0.7 4.8 0.9     12.3     5.3 0.6 Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.) ( ,    ) years What is a 95% CI...
A random sample of n = 15 heat pumps of a certain type yielded the following...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0 1.2 6.0 1.9 5.1 0.4 1.0 5.3 15.6 0.9 4.8 0.9 12.2 5.3 0.6 a.) Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 96% CI for expected (true average) lifetime (round answer to two decimal places) (________, _________) years c.) What is a 95% CI for...
A random sample of n = 15 heat pumps of a certain type yielded the following...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0     1.4     6.0     1.8 5.3 0.4     1.0     5.3 15.9 0.8 4.8 0.9     12.1     5.3 0.6 (a) Assume that the lifetime distribution is exponential and use an argument parallel to that of this example to obtain a 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.)   , years (b) How should the interval of part...
Given below is simple random sample data for wait times, in minutes, for a call center....
Given below is simple random sample data for wait times, in minutes, for a call center. At the 98% confidence level, calculate the confidence interval estimate for the variance in wait time for the population of all calls at the call center. Assume the population is normally distributed. 12.1 11.5 13.4 16.2 11.3 12.2 11.3
A random sample of 13 DVD movies had a mean length of 111.6 minutes, with a...
A random sample of 13 DVD movies had a mean length of 111.6 minutes, with a standard deviation of 66.9 minutes . Find the lower bound of the 90% confidence interval for the true mean length of all Hollywood movies . Assume movie lengths to be approximately normally distributed . Round to one decimal place (for example : answer . Do not write any units . 3.1) . Write only a number as your
In a simple random sample of 70 automobiles registered in a certain state, 26 of them...
In a simple random sample of 70 automobiles registered in a certain state, 26 of them were found to have emission levels that exceed a state standard. Can it be concluded that less than half of the automobiles in the state have pollution levels that exceed the standard? Find the P-value and state a conclusion. Round the answer to four decimal places. - The P-value is : _____ - We can conclude that less than half of the automobiles in...
5) In a simple random sample of 59 electronic components produced by a certain method, the...
5) In a simple random sample of 59 electronic components produced by a certain method, the mean lifetime was 1,114 hours. Assume the component lifetimes are normally distributed with population standard deviation 55 hours. What is the upper bound of the 95% confidence interval for the mean lifetime of the components? Round to nearest integer. 6) Efficiency experts study the processes used to manufacture items in order to make them as efficient as possible. One of the steps used to...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT