First we have to calculate the sample mean and sample standarddeviation
VariableMeanStDev
life time 4.21(x-bar)4.49 (s)
The formulae for calculating the95% CI for expected (true average)lifetime is givenby
HEre tα/2= 2.145
Substitute the values we have
solve the above we get the answer
A random sample of n-15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0 1.5 6.0 1.9 5.4 0.4 1.0 5.3 15.6 0.9 4.8 0.9 12.3 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) be...
2. ㅢ5 points DevoreStat97 E.010 My Notes Ask Your Teacher + 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 5.3 0.4 1.0 5.3 15.8 0.7 4.80.9 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 95% CI for expected (true average) lifetime. (Round your answers to two decimal places.) years...
A random sample of heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0, 1.3, 6.0, 1.9, 5.1, .4, 1.0, 5.3, 15.7, .7, 4.8, .9, 12.2, 5.3, .6 a. Assume that the lifetime distribution is exponential and use an argument parallel to that of Example 7.5 to obtain a 95% CI for expected (true average) lifetime. b. How should the interval of part (a) be altered to achieve a confidence level of 99%? c. What...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years): 2.0 1.5 6.0 1.7 5.3 0.4 1.0 5.3 15.8 0.5 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 c) What is a 95%...
Construct a 95% confidence interval of the population proportion using the given information. x= 125, n = 250 Click here to view the table of critical values. The lower bound is The upper bound is (Round to three decimal places as needed.) i Table of critical values x Level of Confidence, (1 - «) - 100% CK Area in Each Tail, 2 Critical Value, 2 90% 0.05 1.645 95% 0.025 1.96 2.575 99% 0.005 Print Done
9.1.15 Construct a 99% confidence interval of the population proportion using the given information. x = 125, n = 250 Click here to view the table of critical values. The lower bound is The upper bound is (Round to three decimal places as needed.) Table of critical values -X Area in Each Tail, i Critical Value, Level of Confidence, (1 - a). 100% 90% 95% 99% 0.05 0.025 0.005 1645 1.96 2.575 Print Done Enter your answer in the edit...
In a 95% confidence interval. i 1-0.0s is called the confidence coefficient. A) True lB) False If a 95% confidence interval on the mean has a lower limit of 10 and an upper limit that 95% of the time the true value of the mean is between 10 and 15. ) True B) False For a fixed value of the standard deviation and a fixed sample size, a confidence inte population mean will get longer as the level of confidence...
True or False? The higher the confidence level, the narrower is the confidence interval for the mean. Select an answer The most efficient point estimator for the population mean ù is the sample median . Select an answer • To reduce the width of a confidence interval, we can increase the sample size n. Select an answer • As long as the population is normal with variance o’, the statistic (n-1) S2 has a Chi-squared 02 distribution with n degrees...
Use the given confidence level and sample data to find a confidence interval for the population standard deviation o. Assume that a simple random sample has been selected from a population that has a normal distribution. Salaries of college professors who took a statistics course in college 99% confidence; n=51, x = $71,400, s = $17,572 Click the icon to view the table of Chi-Square critical values (Round to the nearest dollar as needed.)
7. To create a confidence interval from a bootstrap distribution using percentiles, we keep the middle values and chop off a certain percentage from each tail. Indicate what percent of values must be chopped off from each tail for each confidence level. a. 95% b. 90% c. 99% d. 80%