Professor Moore, who lives a many miles outside a college town, records the time he takes to drive to the college each morning. Below are the times (in minutes) for 22 consecutive weekdays. The data are contained in the gray columns in the following table and have been ordered from smallest to largest.
|
Observation |
Driving Time (min) |
Observation |
Driving Time (min) |
|
1 |
52 |
12 |
62.7 |
|
2 |
57.9 |
13 |
63.7 |
|
3 |
58.2 |
14 |
64.9 |
|
4 |
59 |
15 |
65.8 |
|
5 |
59.2 |
16 |
66.6 |
|
6 |
59.3 |
17 |
67.8 |
|
7 |
59.6 |
18 |
69.3 |
|
8 |
59.8 |
19 |
70 |
|
9 |
60.5 |
20 |
73.7 |
|
10 |
61 |
21 |
81.5 |
|
11 |
61.1 |
22 |
93.8 |
A) Create a frequency table. Starting point and bin size is your choice.
B) What is the
1) median,
2) First quartile
3) Third quartile
4) Interquartile range
C) Use the interquartile range (IQR) to calculate if there are any outliers.
In: Statistics and Probability
| Data Set 3 --Buena School District Bus Data | ||||||
| Bus Number | Maintenance | Age | Miles | Type | Bus-Mfg | Passenger |
| X1 | X2 | X3 | X4 | X5 | X6 | X7 |
| 135 | 329 | 7 | 853 | Diesel | Bluebird | 55 Passenger |
| 200 | 505 | 10 | 822 | Diesel | Bluebird | 55 Passenger |
| 40 | 466 | 10 | 865 | Gasoline | Bluebird | 55 Passenger |
| 387 | 422 | 8 | 869 | Gasoline | Bluebird | 55 Passenger |
| 326 | 433 | 9 | 848 | Diesel | Bluebird | 55 Passenger |
| 861 | 474 | 10 | 845 | Gasoline | Bluebird | 55 Passenger |
| 122 | 558 | 10 | 885 | Gasoline | Bluebird | 55 Passenger |
| 887 | 357 | 8 | 760 | Diesel | Bluebird | 6 Passenger |
| 686 | 329 | 3 | 741 | Diesel | Bluebird | 55 Passenger |
| 490 | 497 | 10 | 859 | Gasoline | Bluebird | 55 Passenger |
| 464 | 355 | 3 | 806 | Gasoline | Bluebird | 55 Passenger |
| 875 | 489 | 9 | 858 | Diesel | Bluebird | 55 Passenger |
| 883 | 436 | 2 | 785 | Gasoline | Bluebird | 55 Passenger |
| 57 | 455 | 7 | 828 | Diesel | Bluebird | 55 Passenger |
| 482 | 514 | 11 | 980 | Gasoline | Bluebird | 55 Passenger |
| 704 | 503 | 8 | 857 | Diesel | Bluebird | 55 Passenger |
| 731 | 432 | 6 | 819 | Diesel | Bluebird | 42 Passenger |
| 75 | 478 | 6 | 821 | Diesel | Bluebird | 55 Passenger |
| 600 | 493 | 10 | 1008 | Diesel | Bluebird | 55 Passenger |
| 358 | 461 | 6 | 849 | Diesel | Bluebird | 55 Passenger |
| 692 | 469 | 8 | 812 | Diesel | Bluebird | 55 Passenger |
| 43 | 439 | 9 | 832 | Gasoline | Bluebird | 55 Passenger |
| 500 | 369 | 5 | 842 | Gasoline | Bluebird | 55 Passenger |
| 279 | 390 | 2 | 792 | Diesel | Bluebird | 55 Passenger |
| 884 | 381 | 9 | 882 | Diesel | Bluebird | 55 Passenger |
| 977 | 501 | 7 | 874 | Diesel | Bluebird | 55 Passenger |
| 725 | 392 | 5 | 774 | Diesel | Bluebird | 55 Passenger |
| 982 | 441 | 1 | 823 | Diesel | Bluebird | 55 Passenger |
| 39 | 411 | 6 | 804 | Gasoline | Bluebird | 55 Passenger |
| 418 | 504 | 9 | 842 | Diesel | Bluebird | 55 Passenger |
| 984 | 392 | 8 | 851 | Diesel | Bluebird | 55 Passenger |
| 953 | 423 | 10 | 835 | Diesel | Bluebird | 55 Passenger |
| 507 | 410 | 7 | 866 | Diesel | Bluebird | 55 Passenger |
| 540 | 529 | 4 | 846 | Gasoline | Bluebird | 55 Passenger |
| 695 | 477 | 2 | 802 | Diesel | Bluebird | 55 Passenger |
| 321 | 450 | 6 | 856 | Diesel | Bluebird | 6 Passenger |
| 918 | 390 | 5 | 799 | Diesel | Bluebird | 55 Passenger |
| 101 | 424 | 4 | 827 | Diesel | Bluebird | 55 Passenger |
| 714 | 433 | 7 | 817 | Diesel | Bluebird | 42 Passenger |
| 768 | 494 | 7 | 815 | Diesel | Bluebird | 42 Passenger |
| 29 | 396 | 6 | 784 | Gasoline | Bluebird | 55 Passenger |
| 554 | 458 | 4 | 817 | Diesel | Bluebird | 14 Passenger |
| 699 | 475 | 9 | 816 | Gasoline | Bluebird | 55 Passenger |
| 954 | 476 | 10 | 827 | Diesel | Bluebird | 42 Passenger |
| 660 | 337 | 6 | 819 | Gasoline | Bluebird | 55 Passenger |
| 520 | 492 | 10 | 836 | Diesel | Bluebird | 55 Passenger |
| 814 | 426 | 4 | 757 | Diesel | Bluebird | 55 Passenger |
| 120 | 503 | 10 | 883 | Diesel | Keiser | 42 Passenger |
| 427 | 359 | 7 | 751 | Gasoline | Keiser | 55 Passenger |
| 759 | 546 | 8 | 870 | Diesel | Keiser | 55 Passenger |
| 10 | 427 | 5 | 780 | Gasoline | Keiser | 14 Passenger |
| 880 | 474 | 9 | 857 | Gasoline | Keiser | 55 Passenger |
| 481 | 382 | 3 | 818 | Gasoline | Keiser | 6 Passenger |
| 370 | 459 | 8 | 826 | Gasoline | Keiser | 55 Passenger |
| 989 | 380 | 9 | 803 | Diesel | Keiser | 55 Passenger |
| 162 | 406 | 3 | 798 | Gasoline | Keiser | 55 Passenger |
| 732 | 471 | 9 | 815 | Diesel | Keiser | 42 Passenger |
| 751 | 444 | 2 | 757 | Diesel | Keiser | 14 Passenger |
| 948 | 452 | 9 | 831 | Diesel | Keiser | 42 Passenger |
| 61 | 442 | 9 | 809 | Diesel | Keiser | 55 Passenger |
| 9 | 414 | 4 | 864 | Gasoline | Keiser | 55 Passenger |
| 365 | 462 | 6 | 799 | Diesel | Keiser | 55 Passenger |
| 693 | 469 | 9 | 775 | Gasoline | Keiser | 55 Passenger |
| 38 | 432 | 6 | 837 | Gasoline | Keiser | 14 Passenger |
| 724 | 448 | 8 | 790 | Diesel | Keiser | 42 Passenger |
| 603 | 468 | 4 | 800 | Diesel | Keiser | 14 Passenger |
| 45 | 478 | 6 | 830 | Diesel | Keiser | 55 Passenger |
| 754 | 515 | 14 | 895 | Diesel | Keiser | 14 Passenger |
| 678 | 428 | 7 | 842 | Diesel | Keiser | 55 Passenger |
| 767 | 493 | 6 | 816 | Diesel | Keiser | 55 Passenger |
| 705 | 403 | 4 | 806 | Diesel | Keiser | 42 Passenger |
| 353 | 449 | 4 | 817 | Gasoline | Keiser | 55 Passenger |
| 156 | 561 | 12 | 838 | Diesel | Thompson | 55 Passenger |
| 833 | 496 | 8 | 839 | Diesel | Thompson | 55 Passenger |
| 314 | 459 | 11 | 859 | Diesel | Thompson | 6 Passenger |
| 396 | 457 | 2 | 815 | Diesel | Thompson | 55 Passenger |
| 398 | 570 | 9 | 844 | Diesel | Thompson | 14 Passenger |
| 168 | 467 | 7 | 827 | Gasoline | Thompson | 55 Passenger |
| 671 | 504 | 8 | 866 | Gasoline | Thompson | 55 Passenger |
| 193 | 540 | 11 | 847 | Diesel | Thompson | 55 Passenger |
The attached MS-Excel file contains data on the contains data the bus fleet of the Buena School district. Download the file and analyze the characteristics of the Buena Bus fleet.
In: Accounting
| Data Set 3 --Buena School District Bus Data | ||||||
| Bus Number | Maintenance | Age | Miles | Type | Bus-Mfg | Passenger |
| X1 | X2 | X3 | X4 | X5 | X6 | X7 |
| 135 | 329 | 7 | 853 | Diesel | Bluebird | 55 Passenger |
| 200 | 505 | 10 | 822 | Diesel | Bluebird | 55 Passenger |
| 40 | 466 | 10 | 865 | Gasoline | Bluebird | 55 Passenger |
| 387 | 422 | 8 | 869 | Gasoline | Bluebird | 55 Passenger |
| 326 | 433 | 9 | 848 | Diesel | Bluebird | 55 Passenger |
| 861 | 474 | 10 | 845 | Gasoline | Bluebird | 55 Passenger |
| 122 | 558 | 10 | 885 | Gasoline | Bluebird | 55 Passenger |
| 887 | 357 | 8 | 760 | Diesel | Bluebird | 6 Passenger |
| 686 | 329 | 3 | 741 | Diesel | Bluebird | 55 Passenger |
| 490 | 497 | 10 | 859 | Gasoline | Bluebird | 55 Passenger |
| 464 | 355 | 3 | 806 | Gasoline | Bluebird | 55 Passenger |
| 875 | 489 | 9 | 858 | Diesel | Bluebird | 55 Passenger |
| 883 | 436 | 2 | 785 | Gasoline | Bluebird | 55 Passenger |
| 57 | 455 | 7 | 828 | Diesel | Bluebird | 55 Passenger |
| 482 | 514 | 11 | 980 | Gasoline | Bluebird | 55 Passenger |
| 704 | 503 | 8 | 857 | Diesel | Bluebird | 55 Passenger |
| 731 | 432 | 6 | 819 | Diesel | Bluebird | 42 Passenger |
| 75 | 478 | 6 | 821 | Diesel | Bluebird | 55 Passenger |
| 600 | 493 | 10 | 1008 | Diesel | Bluebird | 55 Passenger |
| 358 | 461 | 6 | 849 | Diesel | Bluebird | 55 Passenger |
| 692 | 469 | 8 | 812 | Diesel | Bluebird | 55 Passenger |
| 43 | 439 | 9 | 832 | Gasoline | Bluebird | 55 Passenger |
| 500 | 369 | 5 | 842 | Gasoline | Bluebird | 55 Passenger |
| 279 | 390 | 2 | 792 | Diesel | Bluebird | 55 Passenger |
| 884 | 381 | 9 | 882 | Diesel | Bluebird | 55 Passenger |
| 977 | 501 | 7 | 874 | Diesel | Bluebird | 55 Passenger |
| 725 | 392 | 5 | 774 | Diesel | Bluebird | 55 Passenger |
| 982 | 441 | 1 | 823 | Diesel | Bluebird | 55 Passenger |
| 39 | 411 | 6 | 804 | Gasoline | Bluebird | 55 Passenger |
| 418 | 504 | 9 | 842 | Diesel | Bluebird | 55 Passenger |
| 984 | 392 | 8 | 851 | Diesel | Bluebird | 55 Passenger |
| 953 | 423 | 10 | 835 | Diesel | Bluebird | 55 Passenger |
| 507 | 410 | 7 | 866 | Diesel | Bluebird | 55 Passenger |
| 540 | 529 | 4 | 846 | Gasoline | Bluebird | 55 Passenger |
| 695 | 477 | 2 | 802 | Diesel | Bluebird | 55 Passenger |
| 321 | 450 | 6 | 856 | Diesel | Bluebird | 6 Passenger |
| 918 | 390 | 5 | 799 | Diesel | Bluebird | 55 Passenger |
| 101 | 424 | 4 | 827 | Diesel | Bluebird | 55 Passenger |
| 714 | 433 | 7 | 817 | Diesel | Bluebird | 42 Passenger |
| 768 | 494 | 7 | 815 | Diesel | Bluebird | 42 Passenger |
| 29 | 396 | 6 | 784 | Gasoline | Bluebird | 55 Passenger |
| 554 | 458 | 4 | 817 | Diesel | Bluebird | 14 Passenger |
| 699 | 475 | 9 | 816 | Gasoline | Bluebird | 55 Passenger |
| 954 | 476 | 10 | 827 | Diesel | Bluebird | 42 Passenger |
| 660 | 337 | 6 | 819 | Gasoline | Bluebird | 55 Passenger |
| 520 | 492 | 10 | 836 | Diesel | Bluebird | 55 Passenger |
| 814 | 426 | 4 | 757 | Diesel | Bluebird | 55 Passenger |
| 120 | 503 | 10 | 883 | Diesel | Keiser | 42 Passenger |
| 427 | 359 | 7 | 751 | Gasoline | Keiser | 55 Passenger |
| 759 | 546 | 8 | 870 | Diesel | Keiser | 55 Passenger |
| 10 | 427 | 5 | 780 | Gasoline | Keiser | 14 Passenger |
| 880 | 474 | 9 | 857 | Gasoline | Keiser | 55 Passenger |
| 481 | 382 | 3 | 818 | Gasoline | Keiser | 6 Passenger |
| 370 | 459 | 8 | 826 | Gasoline | Keiser | 55 Passenger |
| 989 | 380 | 9 | 803 | Diesel | Keiser | 55 Passenger |
| 162 | 406 | 3 | 798 | Gasoline | Keiser | 55 Passenger |
| 732 | 471 | 9 | 815 | Diesel | Keiser | 42 Passenger |
| 751 | 444 | 2 | 757 | Diesel | Keiser | 14 Passenger |
| 948 | 452 | 9 | 831 | Diesel | Keiser | 42 Passenger |
| 61 | 442 | 9 | 809 | Diesel | Keiser | 55 Passenger |
| 9 | 414 | 4 | 864 | Gasoline | Keiser | 55 Passenger |
| 365 | 462 | 6 | 799 | Diesel | Keiser | 55 Passenger |
| 693 | 469 | 9 | 775 | Gasoline | Keiser | 55 Passenger |
| 38 | 432 | 6 | 837 | Gasoline | Keiser | 14 Passenger |
| 724 | 448 | 8 | 790 | Diesel | Keiser | 42 Passenger |
| 603 | 468 | 4 | 800 | Diesel | Keiser | 14 Passenger |
| 45 | 478 | 6 | 830 | Diesel | Keiser | 55 Passenger |
| 754 | 515 | 14 | 895 | Diesel | Keiser | 14 Passenger |
| 678 | 428 | 7 | 842 | Diesel | Keiser | 55 Passenger |
| 767 | 493 | 6 | 816 | Diesel | Keiser | 55 Passenger |
| 705 | 403 | 4 | 806 | Diesel | Keiser | 42 Passenger |
| 353 | 449 | 4 | 817 | Gasoline | Keiser | 55 Passenger |
| 156 | 561 | 12 | 838 | Diesel | Thompson | 55 Passenger |
| 833 | 496 | 8 | 839 | Diesel | Thompson | 55 Passenger |
| 314 | 459 | 11 | 859 | Diesel | Thompson | 6 Passenger |
| 396 | 457 | 2 | 815 | Diesel | Thompson | 55 Passenger |
| 398 | 570 | 9 | 844 | Diesel | Thompson | 14 Passenger |
| 168 | 467 | 7 | 827 | Gasoline | Thompson | 55 Passenger |
| 671 | 504 | 8 | 866 | Gasoline | Thompson | 55 Passenger |
| 193 | 540 | 11 | 847 | Diesel | Thompson | 55 Passenger |
The attached MS-Excel file contains data on the contains data the bus fleet of the Johnson Bus Fleet. Download the file and analyze the characteristics of the Johnson Bus fleet.
a.Sort the data by type of Bus Manufacturer and calculate the Average Cost and Standard Deviation of Maintenance for each Manufacturer
b. Sort the data by Fuel Type and calculate the cost of Maintenance and the Average Mileage and Standard deviation of mileage by each fuel type of fuel
c. Present your results in a table. Cut and paste your chart and table into MS-Word and attach your results.
In: Statistics and Probability
| Data Set 3 --Buena School District Bus Data | ||||||
| Bus Number | Maintenance | Age | Miles | Type | Bus-Mfg | Passenger |
| X1 | X2 | X3 | X4 | X5 | X6 | X7 |
| 135 | 329 | 7 | 853 | Diesel | Bluebird | 55 Passenger |
| 200 | 505 | 10 | 822 | Diesel | Bluebird | 55 Passenger |
| 40 | 466 | 10 | 865 | Gasoline | Bluebird | 55 Passenger |
| 387 | 422 | 8 | 869 | Gasoline | Bluebird | 55 Passenger |
| 326 | 433 | 9 | 848 | Diesel | Bluebird | 55 Passenger |
| 861 | 474 | 10 | 845 | Gasoline | Bluebird | 55 Passenger |
| 122 | 558 | 10 | 885 | Gasoline | Bluebird | 55 Passenger |
| 887 | 357 | 8 | 760 | Diesel | Bluebird | 6 Passenger |
| 686 | 329 | 3 | 741 | Diesel | Bluebird | 55 Passenger |
| 490 | 497 | 10 | 859 | Gasoline | Bluebird | 55 Passenger |
| 464 | 355 | 3 | 806 | Gasoline | Bluebird | 55 Passenger |
| 875 | 489 | 9 | 858 | Diesel | Bluebird | 55 Passenger |
| 883 | 436 | 2 | 785 | Gasoline | Bluebird | 55 Passenger |
| 57 | 455 | 7 | 828 | Diesel | Bluebird | 55 Passenger |
| 482 | 514 | 11 | 980 | Gasoline | Bluebird | 55 Passenger |
| 704 | 503 | 8 | 857 | Diesel | Bluebird | 55 Passenger |
| 731 | 432 | 6 | 819 | Diesel | Bluebird | 42 Passenger |
| 75 | 478 | 6 | 821 | Diesel | Bluebird | 55 Passenger |
| 600 | 493 | 10 | 1008 | Diesel | Bluebird | 55 Passenger |
| 358 | 461 | 6 | 849 | Diesel | Bluebird | 55 Passenger |
| 692 | 469 | 8 | 812 | Diesel | Bluebird | 55 Passenger |
| 43 | 439 | 9 | 832 | Gasoline | Bluebird | 55 Passenger |
| 500 | 369 | 5 | 842 | Gasoline | Bluebird | 55 Passenger |
| 279 | 390 | 2 | 792 | Diesel | Bluebird | 55 Passenger |
| 884 | 381 | 9 | 882 | Diesel | Bluebird | 55 Passenger |
| 977 | 501 | 7 | 874 | Diesel | Bluebird | 55 Passenger |
| 725 | 392 | 5 | 774 | Diesel | Bluebird | 55 Passenger |
| 982 | 441 | 1 | 823 | Diesel | Bluebird | 55 Passenger |
| 39 | 411 | 6 | 804 | Gasoline | Bluebird | 55 Passenger |
| 418 | 504 | 9 | 842 | Diesel | Bluebird | 55 Passenger |
| 984 | 392 | 8 | 851 | Diesel | Bluebird | 55 Passenger |
| 953 | 423 | 10 | 835 | Diesel | Bluebird | 55 Passenger |
| 507 | 410 | 7 | 866 | Diesel | Bluebird | 55 Passenger |
| 540 | 529 | 4 | 846 | Gasoline | Bluebird | 55 Passenger |
| 695 | 477 | 2 | 802 | Diesel | Bluebird | 55 Passenger |
| 321 | 450 | 6 | 856 | Diesel | Bluebird | 6 Passenger |
| 918 | 390 | 5 | 799 | Diesel | Bluebird | 55 Passenger |
| 101 | 424 | 4 | 827 | Diesel | Bluebird | 55 Passenger |
| 714 | 433 | 7 | 817 | Diesel | Bluebird | 42 Passenger |
| 768 | 494 | 7 | 815 | Diesel | Bluebird | 42 Passenger |
| 29 | 396 | 6 | 784 | Gasoline | Bluebird | 55 Passenger |
| 554 | 458 | 4 | 817 | Diesel | Bluebird | 14 Passenger |
| 699 | 475 | 9 | 816 | Gasoline | Bluebird | 55 Passenger |
| 954 | 476 | 10 | 827 | Diesel | Bluebird | 42 Passenger |
| 660 | 337 | 6 | 819 | Gasoline | Bluebird | 55 Passenger |
| 520 | 492 | 10 | 836 | Diesel | Bluebird | 55 Passenger |
| 814 | 426 | 4 | 757 | Diesel | Bluebird | 55 Passenger |
| 120 | 503 | 10 | 883 | Diesel | Keiser | 42 Passenger |
| 427 | 359 | 7 | 751 | Gasoline | Keiser | 55 Passenger |
| 759 | 546 | 8 | 870 | Diesel | Keiser | 55 Passenger |
| 10 | 427 | 5 | 780 | Gasoline | Keiser | 14 Passenger |
| 880 | 474 | 9 | 857 | Gasoline | Keiser | 55 Passenger |
| 481 | 382 | 3 | 818 | Gasoline | Keiser | 6 Passenger |
| 370 | 459 | 8 | 826 | Gasoline | Keiser | 55 Passenger |
| 989 | 380 | 9 | 803 | Diesel | Keiser | 55 Passenger |
| 162 | 406 | 3 | 798 | Gasoline | Keiser | 55 Passenger |
| 732 | 471 | 9 | 815 | Diesel | Keiser | 42 Passenger |
| 751 | 444 | 2 | 757 | Diesel | Keiser | 14 Passenger |
| 948 | 452 | 9 | 831 | Diesel | Keiser | 42 Passenger |
| 61 | 442 | 9 | 809 | Diesel | Keiser | 55 Passenger |
| 9 | 414 | 4 | 864 | Gasoline | Keiser | 55 Passenger |
| 365 | 462 | 6 | 799 | Diesel | Keiser | 55 Passenger |
| 693 | 469 | 9 | 775 | Gasoline | Keiser | 55 Passenger |
| 38 | 432 | 6 | 837 | Gasoline | Keiser | 14 Passenger |
| 724 | 448 | 8 | 790 | Diesel | Keiser | 42 Passenger |
| 603 | 468 | 4 | 800 | Diesel | Keiser | 14 Passenger |
| 45 | 478 | 6 | 830 | Diesel | Keiser | 55 Passenger |
| 754 | 515 | 14 | 895 | Diesel | Keiser | 14 Passenger |
| 678 | 428 | 7 | 842 | Diesel | Keiser | 55 Passenger |
| 767 | 493 | 6 | 816 | Diesel | Keiser | 55 Passenger |
| 705 | 403 | 4 | 806 | Diesel | Keiser | 42 Passenger |
| 353 | 449 | 4 | 817 | Gasoline | Keiser | 55 Passenger |
| 156 | 561 | 12 | 838 | Diesel | Thompson | 55 Passenger |
| 833 | 496 | 8 | 839 | Diesel | Thompson | 55 Passenger |
| 314 | 459 | 11 | 859 | Diesel | Thompson | 6 Passenger |
| 396 | 457 | 2 | 815 | Diesel | Thompson | 55 Passenger |
| 398 | 570 | 9 | 844 | Diesel | Thompson | 14 Passenger |
| 168 | 467 | 7 | 827 | Gasoline | Thompson | 55 Passenger |
| 671 | 504 | 8 | 866 | Gasoline | Thompson | 55 Passenger |
| 193 | 540 | 11 | 847 | Diesel | Thompson | 55 Passenger |
The attached MS-Excel file contains data on the bus fleet of the Buena School district. Download the file and analyze the characteristics of the Buena Bus fleet.
a. Sort the data by type of Bus Manufacturer and calculate the Average Cost of Maintenance for each Manufacturer
b. Sort the data by Fuel Type and calculate the cost of Maintenance and the Average Mileage by each fuel type of fuel
c. Present your results in a table and a chart. Cut and paste your chart and table into MS-Word and attach your results.
In: Physics
1. A researcher claims that the mean rate of Infant mortality in the City of Chicago is below 9.3 %. Based on the data represented for the years 2005 – 2011, perform a hypothesis test to test his claim using a significance level of α= 0.10.
2.Would your conclusion change for question 1 if you used a significance level of α= 0.05? Explain.
Data:
| community Area Name | Infant Mortality Rate |
| Rogers Park | 6.4 |
| West Ridge | 5.1 |
| Uptown | 6.5 |
| Lincoln Square | 3.8 |
| North Center | 2.7 |
| Lake View | 2.2 |
| Lincoln park | 2.4 |
| Near North Side | 6.5 |
| Edison Park | 4.6 |
| Norwood Park | 4.4 |
| Jefferson Park | 8.3 |
| Forest Glen | 3.8 |
| North Park | 5.4 |
| Albany Park | 4.9 |
| Portage Park | 4.7 |
| Irving Park | 5.3 |
| Dunning | 4.9 |
| Montclaire | 4.6 |
| Belmont Cragin | 5.6 |
| Hermosa | 9.3 |
| Avondale | 5.7 |
| Logan Square | 4.3 |
| Humboldt Park | 9.8 |
| West town | 5.1 |
| Austin | 13.3 |
| West Garfield Park | 19 |
| East Garfield Park | 11 |
| Near West side | 9.1 |
| North Lawndale | 14.1 |
| South Lawndale | 5.9 |
| Lower West Side | 5.4 |
| Loop | 5.7 |
| Near South Side | 4.8 |
| Armour Square | 1.5 |
| Douglas | 13.4 |
| Oakland | 8.2 |
| Fuller Park | 22.6 |
| Grand Boulevard | 12.1 |
| Kenwood | 8.9 |
| Washington Park | 19.3 |
| Hyde Park | 10.4 |
| Woodlawn | 11.5 |
| South Shore | 11.4 |
| Chatham | 10.9 |
| Avalon Park | 11.4 |
| South Chicago | 17.7 |
| Burnside | 13 |
| Calumet Heights | 13.9 |
| Roseland | 9.6 |
| Pullman | 13.6 |
| South Deering | 11.8 |
| East Side | 3.7 |
| West Pullman | 11.9 |
| Riverdale | 8.7 |
| Hegewisch | 8.4 |
| Garfield Ridge | 4.5 |
| Archer Heights | 5.2 |
| Brighton Park | 5.9 |
| McKinley Park | 7.3 |
| Bridgeport | 8 |
| New City | 7.9 |
| West Elsdon | 8.1 |
| Gage Park | 5.4 |
| Clearing | 6.7 |
| West Lawn | 8.4 |
| Chicago Lawn | 11.1 |
| West Englewood | 13.3 |
| Englewood | 13.4 |
| Greater Grand Crossing | 14.2 |
| Ashburn | 10.2 |
| Auburn Gresham | 15.6 |
| Beverly | 10 |
| Washington Heights | 11.2 |
| Mount Greenwood | 3.3 |
| Morgan Park | 13.1 |
| O'Hare | 2 |
| Edgewater | 6.9 |
Please show work. Thank you :)
In: Statistics and Probability
(Practical magnetism) As we will see in lab, the magnitude ?? of the magnetic field of a permanent magnet drops with distance d so that ?? ∝ 1/? 2 when d is less than the size of the magnet (where you “feel” only the closest pole) but ?? ∝ 1/? 3 farther away (where both poles “blur together” and the field is weaker). (a) Could a coin-sized magnet in your wallet or purse erase the magnetic strip on your credit card or hotel room key? Suppose the magnet is 2 mm thick, and measure d from its center. Consider both a fridge magnet (?? = 5 mT at the surface) and a neodymium coin magnet (?? = 1 T at the surface). To erase a magnetic strip requires 4000 G for a “high-coercivity” (“HiCo”) card such as a credit card, but only 300 G for a “low-coercivity” (“LoCo”) card such as a hotel room key. (b) If so, how far apart should you keep them? (c) Could wearing a “magnetic stone” (with field strength comparable to a fridge magnet) affect your health? To answer this, ask yourself whether people’s health is affected by the Earth’s magnetic field, of strength about 0.2 G? At what distance from the stone do you experience this same field strength?
In: Physics
1) A circle with a radius of 0.3 meters is placed in the x-y plane in a magnetic field directed in the -z direction. It is wound once and its resistance is 6 Ohms. The initial magnetic field is 0.8 Tesla. The magnetic field is then changed in 0.6 s and the average induced current is 0.04 amps running counter-clockwise. First, find the final magnetic field to needed to induce this average current.
Then, the magnetic field (still in the -z direction) is held constant at the value of the final magnetic field that was just found. Then, the wire is reshaped into a square that is wound once in a time of 0.003 seconds. If the resistance does not change, what is the average induced current, in amps, when the wire changes shape? If it's clockwise include a negative sign.
In: Physics
Company A is trying to sell its website to Company B. As part of the sale, Company A claims that the average user of their site stays on the site for 10 minutes. To test this claim Company B collects the times (in minutes) below for a sample of 11 users. Assume normality.
| Time |
| 0.8 |
| 10 |
| 6.8 |
| 1.6 |
| 4.9 |
| 0.3 |
| 13.5 |
| 6 |
| 6 |
| 2.2 |
| 1.5 |
Construct a 99% confidence interval for the true mean time spent
on the web site.
a) What is the lower limit of the 99% interval? Give your answer to
three decimal places. Enter 0 if your lower limit is less than
0.
b) What is the upper limit of the 99% interval? Give your answer to
three decimal places.
In: Statistics and Probability
USE THREE DECIMALS FOR ALL OF THE ANSWERS. Health experts’ estimate for the sensitivity of coronavirus tests, as they are actually used, is 0.7. They also think the specificity is very high. Suppose specificity is 0.99 and that the health experts’ estimated sensitivity is correct (0.7).
a. In a population where 20% of the population is infected with the coronavirus, what is the probability that a person who tests positive actually is infected?
b. Continued. What is the probability that a person who tests negative actually is not infected? In the US, testing initially was very selective. In other words, as of early April 2020, only patients (i) with symptoms (ii) who contacted the health care system were being tested. For the most part, tests were not obtainable on demand, and there was very limited testing of asymptomatic people, even if they had been in contact with someone who had tested positive. When testing is selective, then for interpreting results of testing, what matters is not the fraction of the entire population who are infected, but rather the fraction of the tested population who are infected.
c. If the prevalence of infection in the tested population is 0.8 (in other words, if 80% of people tested have the infection), what is the probability that a person who tests positive actually is infected?
d. Continued. What is the probability that a person who tests negative actually is not infected?
In: Statistics and Probability
Evans Park
Evans Park is a small amusement park that provides a variety of rides for children and teens. In a typical summer season, the park sells twice as many child tickets as adult tickets. Adult ticket prices are $18 and the children’s price is $10. Revenue from food and beverage concessions is estimated to be $60,000, and souvenir revenue is expected to be $25,000. Variable costs per person (child or adult) are $3.25. Fixed costs amount to $150,000. Build a model to show the profitability of this park based on these facts.
REQUIRED: Show the model with adult sales at the break-even point.
HINT: The EvansPark sheet gives a starting point. After entering labels and formulas for your model, use Goal Seeking to find where to adjust adult ticket sales so that profit equals zero. “Goal Seek” is found under the “What-If Analysis” button of the “Data” ribbon.
In: Accounting