Questions
Professor Moore, who lives a many miles outside a college town, records the time he takes to drive to the college each morning.

 

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...

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.

  1. Sort the data by type of Bus Manufacturer and calculate the Average Cost of Maintenance for each Manufacturer
  2. Sort the data by Fuel Type and calculate the cost of Maintenance and the Average Mileage by each fuel type of fuel
  3. Present your results in a table and a chart. Cut and paste your chart and table into MS-Word and attach your results.

In: Accounting

Data Set 3 --Buena School District Bus Data Bus Number Maintenance Age Miles Type Bus-Mfg Passenger...

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...

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...

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...

(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...

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 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...

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...

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