2. ㅢ5 points DevoreStat97 E.010 My Notes Ask Your Teacher + A random sample of n-15...
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...
A random sample of n = 15 heat pumps of a certain type yielded the following observations on lifetime (in years):2.0 1.1 6.0 1.7 5.3 0.4 1.0 5.315.7 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 95% CI for expected (true average) lifetime.(Round your answers to two decimal places.)(b) How should the interval of part (a) be altered to achieve a confidence...
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%...
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...
You have measured the blood hemoglobin concentrations in a random sample of 12 males aged 20-29 years and have obtained the following values in mg/dL: [ 14.7, 15.22, 15.28, 16.58, 15.1, 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92] Calculate the following from the above sample: 1.95% confidence interval for the mean hemoglobin concentration in the population of 20-29 year old males. 2. 99% confidence interval for the mean hemoglobin concentration in the same population 3. 95% confidence interval for the...
-15 POINTS PODSTAT6 9.E.012. MY NOTES ASK YOUR TEACHER The formula used to calculate a large-sample confidence interval for p is Ộ + (2 critical value) (1 - ). What is the appropriate z critical value for each of the following confidence levels? (Round your answers to two decimal places.) (a) 95% (b) 90% (c) 99% (d) 80% (e) 91% You may need to use the appropriate table in the appendix or technology to answer this question. Need Help? Read...
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
-/5 POINTS MINTROSTAT9 7.E.521.XP. MY NOTES ASK YOUR TEACHER A simple random sample of 100 postal employees is used to test if the average time postal employees have worked for the postal service has changed from the value of 7.5 years recorded 20 years ago. The sample mean was 7 years with a standard deviation of 2 years. Assume the distribution of the time the employees have worked for the postal service is approximately normal. The hypotheses being tested are...
A simple random sample with n =54 provided a sample mean of 24.0 and a sample standard deviation of 4.5. a. develop a 90% CI for the pop mean b. develop a 95% CI for the pop mean c. develop a 99% CI for the pop mean d. what happens to the margin of error and the CI as the confidence level increases?
5. (4 marks) Let X1, X2, ..., X, be a random sample from an exponential distribution with parameter A. Then it is known that E(X) = = Also, 21 i X has a chi-squared distribution with 2n degrees of freedom. Suppose that the time to failure of a component is exponentially distributed. The seven independent components have the failure times: 81, 16, 5, 11, 52, 90, 23 Using these observations, test whether the true average lifetime (u) is less than...