The world’s Largest Sharp Brain Virtual Experts Marketplace Just a click Away
Levels Tought:
University
| Teaching Since: | Apr 2017 |
| Last Sign in: | 438 Weeks Ago, 5 Days Ago |
| Questions Answered: | 9562 |
| Tutorials Posted: | 9559 |
bachelor in business administration
Polytechnic State University Sanluis
Jan-2006 - Nov-2010
CPA
Polytechnic State University
Jan-2012 - Nov-2016
Professor
Harvard Square Academy (HS2)
Mar-2012 - Present
A sample of seven concrete blocks had their crushing strength measured in MPa. The results were
|
1367.6 |
1411.5 |
1318.7 |
1193.6 |
1406.2 |
|
1425.7 |
1572.4 |
 |
 |
 |
Ten thousand bootstrap samples were generated from these data, and the bootstrap sample means were arranged in order. Refer to the smallest mean as Y1, the second smallest as Y2, and so on, with the largest being Y10,000. Assume that Y50 = 1283.4, Y51 = 1283.4, Y100 = 1291.5, Y101 = 1291.5, Y250 = 1305.5,
Y251 = 1305.5, Y500 = 1318.5, Y501 = 1318.5, Y9500 = 1449.7, Y9501 = 1449.7, Y9750 = 1462.1, Y9751 = 1462.1, Y9900 = 1476.2, Y9901 = 1476.2, Y9950 = 1483.8, and Y9951 = 1483.8.
a. Compute a 95% bootstrap confidence interval for the mean compressive strength, using method 1 as described on page 386.
b. Compute a 95% bootstrap confidence interval for the mean compressive strength, using method 2 as described on page 386.
c. Compute a 99% bootstrap confidence interval for the mean compressive strength, using method 1 as described on page 386.
d. Compute a 99% bootstrap confidence interval for the mean compressive strength, using method 2 as described on page 386.
Â
Â
-----------