Questions
A trucking company determined that the distance traveled per truck per year is normally​ distributed, with...

A trucking company determined that the distance traveled per truck per year is normally​ distributed, with a mean of 70 thousand miles and a standard deviation of 12 thousand miles. Complete parts​ (a) through​ (c) below.

a. What proportion of trucks can be expected to travel between 53 and 70 thousand miles in a​ year? (Round to four decimal places as​ needed.)

b. What percentage of trucks can be expected to travel either less than 75 or more than 110 thousand miles in a​ year? (Round to four decimal places as needed.)
c. How many miles will be traveled by at least 85​% of the​ trucks? (Round to two decimal places as needed.)

In: Math

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard...

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard deviation of 29 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives at least 42 miles in a day. Round your answer to four decimal places.

In: Statistics and Probability

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard...

Trucks in a delivery fleet travel a mean of 100 miles per day with a standard deviation of 33 miles per day. The mileage per day is distributed normally. Find the probability that a truck drives at least 169 miles in a day. Round your answer to four decimal places.

In: Statistics and Probability

An air traffic controller spots two airplanes at the same altitude converging to a point as...

An air traffic controller spots two airplanes at the same altitude converging to a point as they fly at right angles to each other. One airplane is 120 miles from the point and has a speed of 480 miles per hour. The other is 160 miles from the point and has a speed of 640 miles per hour.

(a)At what rate is the distance between the planes changing? In MPH

(b)How much time does the controller have to get one of the airplanes on a different flight path? in MIN

In: Math

A manufacturer of a certain type of tires claims that their tire lifetime is 30,000 miles....

A manufacturer of a certain type of tires claims that their tire lifetime is 30,000 miles. The Bureau of Consumer Protection wants to conduct an preliminary investigation on this claim.

a. If the true lifetime is only 29,000 miles, what is the chance that the Bureau won’t be able to detect such difference with data only on 16 tires? Assume that the SD of all tire lifetimes is about 1,500 miles.

b. How many tires should the Bureau test on so that they can detect the lifetime of 29,000 miles or less with 90% power?

In: Statistics and Probability

1. How many employees accumulated less than 3,000 miles?

miles of frequent travelers (miles) / # employees

0 to 3                                                    5


3 to 6                                                   12


6 to 9                                                    23


9 a 12                                                   8


12 to 15                                                 2


total                                                       50


1. How many employees accumulated less than 3,000 miles?


2. convert the distribution into a cumulative frequency frequency distribution.


3. represents the cumulative frequency distribution in the form of cumulative frequency polygons


4. according to the polygon of cumulative frequency. How many miles did 75% of employees accumulate?


In: Statistics and Probability

Danube recently acquired a delivery van for $24,200 paying cash. Danube projects a 4 year useful...

Danube recently acquired a delivery van for $24,200 paying cash. Danube projects a 4 year useful service life and a remaining residual value on the delivery van of $2,200. Danube expects to drive the van 106,000 miles during the useful service life. Please compute the annual depreciation for the 4 year life of the delivery van for each of these methods:

1. Straight-line

Depreciation expense

2. Double-declining-balance. (Round your depreciation rate to 2 decimal places. Round your final answers to the nearest whole dollar.) End year ammounts. Years 1,2,3, with depreciation expense, accumulated depreciation and book value for each year.

3. Actual miles driven each year were 19,000 miles in Year 1; 29,000 miles in Year 2; 23,000 miles in Year 3; and 25,000 miles in Year 4. Note that actual total miles of 96,000 fall short of expectations by 10,000 miles. Calculate annual depreciation for the four-year life of the van using activity-based. (Round your depreciation rate to 2 decimal places.) end of year amounts year 1, 2, 3, 4, with depreciation expense, accumulated depreciation and book value for each year.

In: Accounting

Please explain via excel with formulas 8b What is the probability that at least four of...

Please explain via excel with formulas

8b What is the probability that at least four of ten new customers would Enroll in the new Program (using all the data)? Exactly seven? Less than six? Now compute these same questions and report your findings based on the new probability value after you remove the customers that were given No Offer. Briefly explain how the results change.

Customer ID Promotion Offer Enrolled in Program Pre Promotion Avg Spend Post Promotion Avg Spend Marketing Segment
1 Free Flight Insurance Yes 150.39 246.32 Average Spender
2 Double Miles + Free Flight Insurance Yes 90.32 182.8 Low Spender
3 Double Miles Yes 14.93 20.55 Low Spender
4 Double Miles Yes 45.86 75.25 Average Spender
5 No Offer No 257.89 397.05 Med Low Spender
6 Free Flight Insurance Yes 864.59 1098.3 Med High Spender
7 Double Miles No 137 94.76 Low Spender
8 No Offer No 1152.27 781.75 Med High Spender
9 Double Miles Yes 25.82 144.57 Average Spender
10 Double Miles + Free Flight Insurance Yes 1540.66 1605.88 High Spender
11 Free Flight Insurance Yes 253.61 312.15 Average Spender
12 Double Miles + Free Flight Insurance No 37.4 47.78 Low Spender
13 Free Flight Insurance Yes 1150.51 806.47 Med High Spender
14 Double Miles + Free Flight Insurance Yes 22.34 545.82 Average Spender
15 Free Flight Insurance Yes 179.47 334.25 Average Spender
16 Double Miles Yes 162.42 678.43 Med Low Spender
17 Double Miles + Free Flight Insurance Yes 24.85 90.83 Low Spender
18 Double Miles Yes 285.45 121.53 Med Low Spender
19 Free Flight Insurance No 3005.15 3012.99 High Spender
20 Double Miles + Free Flight Insurance Yes 28.81 77.26 Low Spender

In: Statistics and Probability

In Taiwan, no one goes to work, and everyone consumes a single good (food), which is...

In Taiwan, no one goes to work, and everyone consumes a single good (food), which is imported from another place and can be purchased (one meal at a time) from the nearest vending machine. Alternatively, food can be delivered by a distant catapult, capable of flinging a meal through a customer's window. The price of a delivered catapult meal is $8 and the price of a vending-machine meal is $2. The travel cost for consumers is $1 per roundtrip mile ($0.5 per mile traveled).

a. How many miles would the market area (i.e. maximum miles to be traveled for vending) for the vending machine be?

b. Show your answer in a martini shaped glass, indicating the slope of the glass’ arms, price of food at vending machine, and the radius of the city. (Label your axes)

c. Now assume that everyone owns a bike, which reduces the travel cost to $0.2 per round-trip mile. What would the new market area be for the vending machine?

d. Continue from part c above (everyone owns a bike still). Assume that a new vending machine replaces the old one, now allowing customers to purchase 2 meals at a time (meals are storable at no cost). How would that affect (if any) the market area of the vending machine?

e. Continue from part d above, and assume that everyone eats 2 meals per day in this town, and a month is 30 days long. What would the monthly rent difference be for a residence located 5 miles v. 10 miles away from the vending machine? (Hint: a single daily trip to the vending machine is sufficient).

In: Electrical Engineering

Hotel One is one of the two hotels serving Dayville, a small town in the US Midwest. Fifty percent of its customers are out-of-town visitors to the local college


Background
Hotel One is one of the two hotels serving Dayville, a small town in the US Midwest. Fifty percent of its customers are out-of-town visitors to the local college, 30 percent are visiting Dayville for business purposes, and the remaining 20 percent of Hotel One’s customers are leisure travelers. The hotel is within one mile from campus, approximately four miles from the city center, and eight miles from the airport. It is easy to reach by car, taxi, or city bus. You are a manager of Hotel One. Your facility consists of 150 rooms, all of which are standard rooms with two double beds. Your only competitor in Dayville, The Other Hotel, has fewer rooms (100), but 20 of their rooms are luxury suites with king beds and a sofa couch (the other 80 are standard rooms with two double beds). This is the extent of the information provided to you at this point.

Assignment
In order to better understand your unit’s operating environment, you are asked to provide your estimate of the demand equation that would account for various factors that affect your customer traffic. This will be done by using regression techniques. The first step in estimating a demand equation is to determine what variables will be used in the regression. Please provide detailed answers to the following questions:
1. What do you think should be the dependent variable in your demand equation? What units of measurement for that variable are you going to adopt? Please provide a detailed explanation for these choices. 2. Please request information about up to five independent (explanatory) variables for your demand equation. For each variable you request, (i) provide reasons why you expect it to be important for your analysis and (ii) explain the expected sign of the relationship between the proposed independent variable and your proposed dependent variable. 3. Show the exact demand equation you are proposing to estimate. 4. List at least three other variables that you considered as independent (explanatory) variables in the regression, but chose not to include. Why did you choose not to include them?

In: Economics