Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a...

Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with sample variance of s^2=0.77.

Extracted text: Amazon.com is testing the use of drones to deliver packages for same-day delivery. In order to quote narrow time windows, the variability in delivery times must be sufficiently small. Consider a sample of 25 drone deliveries with sample variance of s? = 0.77. a. Construct a 90% confidence interval estimate of the population variance for the drone delivery time (to 2 decimals). Use Table 11.1. b. Construct a 90% confidence interval estimate of the population standard deviation (to 2 decimals). Use Table 11.1. sos


Extracted text: TABLE 11.1 Selected Values from the Chi-Square Distribution Table* Area or probability xả Degrees Area in Upper Tail of Freedom .99 .975 .95 .90 .10 .05 .025 .01 5.024 7.378 .000 .001 .016 2.706 3.841 6.635 9.210 .004 5.991 7.815 2 .020 .051 .103 .211 4.605 3 .115 .216 352 .584 6.251 9.348 11.345 4 297 .484 .711 1.064 7.779 9.488 11.143 13.277 .554 .831 1.145 1.610 9.236 11.070 12.832 15.086 .872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 7 1.239 1.690 2.167 2.833 12.017 14.067 16.013 18.475 1.647 2.180 2.733 3.490 13.362 15.507 17.535 20.090 9 2.088 2.700 3.325 4.168 14.684 16.919 19.023 21.666 3.940 4.575 10 2.558 3.247 4.865 15.987 18.307 20.483 23.209 3.816 4.404 5.009 5.629 11 3.053 5.578 17.275 19.675 21.920 24.725 12 3.571 5.226 6.304 18.549 21.026 23.337 26.217 13 4.107 5.892 7.041 7.790 19.812 22.362 24.736 27.688 14 4.660 6.571 21.064 23.685 26.119 29.141 15 5.229 6.262 7.261 8.547 22.307 24.996 27.488 30.578 16 5.812 6.908 9.312 7.962 8.672 23.542 24.769 26.296 28.845 32.000 7.564 27.587 28.869 17 6.408 10.085 30.191 33.409 18 7.015 8.231 34.805 9.390 10.117 10.865 25.989 31.526 19 7.633 8.907 11.651 27.204 30.144 32.852 36.191 20 8.260 9.591 10.851 12.443 28.412 31.410 34.170 37.566 21 8.897 10.283 11.591 13.240 29.615 32.671 35.479 38.932 22 9.542 10.982 12.338 14.041 30.813 33.924 36.781 40.289 32.007 23 24 10.196 10.856 11.689 13.091 13.848 14.848 15.659 35.172 38.076 36.415 39.364 41.638 42.980 12.401 33.196 34.382 35.563 25 11.524 13.120 14.611 16.473 37.652 40.646 44.314 26 12.198 13.844 15.379 17.292 38.885 41.923 45.642 27 12.878 14.573 16.151 18.114 36.741 40.113 43.195 46.963 28 13.565 15.308 16.928 18.939 37.916 41.337 44.461 45.722 48.278 29 14.256 16.047 17.708 19.768 39.087 42.557 49.588 20.599 29.051 46.459 30 14.953 16.791 18.493 40.256 43.773 46.979 50.892 40 22.164 24.433 26.509 51.805 55.758 59.342 63.691 40.482 74.397 79.082 83.298 60 80 37.485 53.540 43.188 60.391 88.379 96.578 101.879 106.629 112.329 57.153 64.278 100 70.065 74.222 77.929 82.358 118.498 124.342 129.561 135.807 *Note: A more extensive table is provided as Table 3 of Appendix B (available online).