In: Physics
Project 1: Frequent Flyer Miles Calculator
Write a Ruby program that calculates how many frequent flyer
miles are needes for a free ticket on a new startup airline,
CorsairAir. Frequent flyer miles are charged for a free ticket
depending on the class of service (more for first class, less for
coach), depending on the day flying (more if flying on Friday,
Saturday or Monday, less for other days of the week), depending on
the distance traveled, and a surcharge if flying to Canada, Mexico
or the Carribean. Tickets start with a cost of 10,000 frequent
flyer miles. Then, you should calculate the distance charge which
is 1,000 frequent flyer miles for each 250 miles flown. Then, you
should charge an additional 40% charge of frequent flyer miles if
the passenger wants to fly first class. If flying on a Friday,
Saturday or Monday, the ticket will cost an additional 5,000
frequent flyer miles. Travel to Canada, Mexico or the Carribean
needs to cost an additional 7,500 frequent flyer miles. Be sure
your program does not allow for negative miles flown or incorrect
answers to the yes/no questions asked.
The sample program dialogs below should help you to see how to
perform this calculation.
CorsairAir Calculator
How far are your flying:-20
Sorry Charlie!
Continue(y/n)? y
How far are you flying (in
miles):500
Want first class (y/n):y
Flying on a Friday, Saturday or Monday
(y/n):n
Flying to Canada, Mexico or the Carribean
(y/n):n
10000 base cost
2000 distance charge
4800 First class charge
You will need 16800 frequent flyer miles for this ticket. Enjoy
your trip!
Continue(y/n)? y
How far are you flying (in
miles):500
Want first class (y/n):n
Flying on a Friday, Saturday or Monday
(y/n):y
Flying to Canada, Mexico or the Carribean
(y/n):n
10000 base cost
2000 distance charge
5000 day of the week charge
You will need 17000 frequent flyer miles for this ticket. Enjoy
your trip!
Continue(y/n)? y
How far are you flying (in
miles):500
Want first class (y/n):n
Flying on a Friday, Saturday or Monday
(y/n):y
Flying to Canada, Mexico or the Carribean
(y/n):foobar
Sorry Charlie!
Continue(y/n)? y
How far are you flying (in
miles):500
Want first class (y/n):n
Flying on a Friday, Saturday or Monday
(y/n):n
Flying to Canada, Mexico or the Carribean
(y/n):n
10000 base cost
2000 distance charge
You will need 12000 frequent flyer miles for this ticket. Enjoy
your trip!
Continue(y/n)? n
In: Computer Science
( C++ ) Occupancy rate is often considered to be one of the top three most useful metrics for hotel owners. Generally speaking, those working in the hotel industry should be aiming for a high occupancy rate, because this indicates that space is being used efficiently.
The occupancy rate of a hotel is expressed as a percentage. So, for example, if a hotel has 100 rooms available to be sold and 60 of those rooms are occupied, the occupancy rate would be 60 percent.
How to Calculate Occupancy Rate
The occupancy rate can be calculated with the following formula:
Occupancy Rate = Number of Occupied Rooms / Total Number of Available Rooms
Example: If your hotel has 220 rooms and 210 of the rooms are occupied:
210 / 220 = 0.95 = 95 percent occupancy rate.
Program Description
Write a program that calculates the occupancy rate for a hotel. The program should start by asking the user how many floors the hotel has. Use the following message for the prompt: "How many floors does the hotel have? ".
A loop should then iterate once for each floor. In each iteration, the loop should ask the user for the number of rooms on the floor and how many are occupied. Use the following messages for the prompts:
"\nEnter the number of rooms on floor <floor number>: " and "\nHow many rooms are occupied on floor <floor number>? ".
Note: <floor number> should be substituted whith the floor number.
After all the iterations complete, the program should display a report similar to the following:
Total number of rooms: 330
Occupied rooms: 264
Unoccupied rooms: 66
Occupancy Rate: 0.80
Note: A new line should be displayed before the report is displayed and the occupancy rate should be displayed with 2 digits after the decimal.
Hint: Your program should use 2 accumulators to keep track of the total number of rooms in the hotel and how many rooms are occupied. Don't forget to initialize these variables to zero.
Input Validation
Loops should be used to continue prompting the user for input, until it is valid. If invalid input is entered, an error message should be displayed and the input should be read again. Use the error messages below.
Error messages:
Note: <max rooms> should be replaced with the maximum number of rooms on the respective floor.
Reminder
Don't forget that to avoid integer division, one of the operands should be a floating point number. One way to avoid this is to use the static_cast operator to convert one of the operands to a double before dividing. Keep this in mind when you calculate the occupancy rate.
In: Computer Science
*PLEASE ANSWER LETTERS A-F THOROUGHLY*
The Twelve-stars Amusement Park
The Twelve-stars traveling amusement park has recently set up operation in the East Bay. The arrival rate of patrons at the park is estimated as 35 per hour. There is one admissions gate, staffed by a single worker. Admissions can be conducted at an estimated rate of 40 per hour. 40% of patrons go directly to the Ferris wheel, while 30% go to the rollercoaster. The remaining 30% go to the zombie house. The service rate of the Ferris wheel is 18 patrons per hour, while the service rate of the roller coaster is 15 patrons per hour. The service rate of the zombie house is 16 patrons per hour. All of the patrons leaving the Ferris wheel go to the house of mirrors. In addition, 40% of patrons leaving the roller coaster go to the house of mirrors. The house of mirrors serves patrons one at a time at a rate of 25 per hour. All patrons leaving the house of mirrors as well as remaining patrons leaving the rollercoaster all go to the exit gate. In addition, all patrons leaving the zombie house go directly to the exit gate. There is one worker at the exit gate, who can process exiting patrons at a rate of 38 per hour. It is desired to determine for this amusement park, the expected number of patrons waiting at the admission gate, exit gate, and at each ride. It is also desired to determine the expected time patrons spend waiting at each of these locations. If an additional worker was available, at which "station" (i.e., entry gate, exit gate, or ride) should this worker be placed?
The dept. of public safety for Alameda County would like to know what the average number of patrons is expected to be in the park over the course of a day in order to determine whether this meets with safety code and fire Marshall regulations. Current regulations do not allow for more than 40 patrons in the park at any one time. What would you report for this? (i.e., is the requirement met?) (Note that you can treat each station as a single server system!!!!!) Make sure to show your calculations and report your results regarding park operations.
A) Write a short summary of the case, including the purpose of your analysis. B) Show and explain the model you used to evaluate the amusement park system.
C) Show any calculations you used to obtain your results. (Hint: for each gate and ride you will need l, lq, and wq.)
D) Display a summary of results.
E) Answer any questions posed with the case in addition to the summary of results. (i.e., at what ride would you place an additional worker, and are park limitations on patrons being met?)
F) Write a brief conclusion and recommendations. A few sentences will suffice.
In: Operations Management
| Goup Number: 14 | |||||||||
| Group Project 2 - Financial Condition Analysis | |||||||||
| John Green, a recent graduate with four years of for-profit health management experience, was | |||||||||
| recently brought in as assistant to the chairman of the board of Digital Diagnostics, a manufacturer of | |||||||||
| clinical diagnostic equipment. The company had doubled its plant capacity, opened new sales offices outside its | |||||||||
| home territory, and launched an expensive advertising campaign. Digital's results were not satisfactory, | |||||||||
| to put it mildly. Its board of directors, which consisted of its president and vice president plus its major | |||||||||
| stockholders (who were all local business people), was most upset when directors learned how the expansion | |||||||||
| was going. Suppliers were being paid late and were unhappy, and the bank was complaining about the cut off | |||||||||
| credit. As a result, Eddie Sanders, Digital’s president, was informed that changes would have to be made, and | |||||||||
| quickly, or he would be fired. Also, at the board's insistence, John Green was brought in and given the job of | |||||||||
| assistant to Wendy Smith, a retired banker who was Digital's chairwoman and largest stockholder. Sanders | |||||||||
| agreed to give up a few of his golfing days and help nurse the company back to health, with Green's assistance. | |||||||||
| Green began by gathering financial statements and other data, shown below. The data show the dire situation | |||||||||
| that Digital Diagnostics was in after the expansion program. Thus far, sales have not been up to the | |||||||||
| forecasted level, costs have been higher than were projected, and a large loss occurred in Year 2, rather than | |||||||||
| the expected profit. Green examined monthly data for Year 2 (not given in the case), and he detected an | |||||||||
| improving pattern during the year. Monthly sales were rising, costs were falling, and large losses in the early | |||||||||
| months had turned to a small profit by December. Thus, the annual data look somewhat worse than final monthly | |||||||||
| data. Also, it appears to be taking longer for the advertising program to get the message across, for the new | |||||||||
| sales offices to generate sales, and for the new manufacturing facilities to operate efficiently. In other words, | |||||||||
| the lags between spending money and deriving benefits were longer thanDigital's managers had anticipated. | |||||||||
| For these reasons, Green and Sanders see hope for the company—provided it can survive in the short run. | |||||||||
| Green must prepare an analysis of where the company is now, what it must do to regain its financial health, | |||||||||
| and what actions should be taken. Green requested your group to complete this assigned task for him. | |||||||||
| Use this Excel Workbook to perform the quantitative parts of the analysis and prepare the report as a Word document. | |||||||||
| The report shpuld include only the interpretations of the quantitative results. How you found these results are to be shown in this Excel Workbook. | |||||||||
| Submit both files via Blackboard as instructed. | |||||||||
| Digital Diagnostics | |||||||||
| Statement of Operations | |||||||||
| Yr 1 Actual | Yr 2 Actual | Yr 3 Projected | |||||||
| Revenue: | |||||||||
| Net patient service revenue | $3,432,000 | $5,834,400 | $7,035,600 | ||||||
| Other revenue | $0 | $0 | $0 | ||||||
| Total revenues | $3,432,000 | $5,834,400 | $7,035,600 | ||||||
| Expenses: | |||||||||
| Salaries and benefits | $2,864,000 | $4,980,000 | $5,800,000 | ||||||
| Supplies | $240,000 | $620,000 | $512,960 | ||||||
| Insurance and other | $50,000 | $50,000 | $50,000 | ||||||
| Drugs | $50,000 | $50,000 | $50,000 | ||||||
| Depreciation | $18,900 | $116,960 | $120,000 | ||||||
| Interest | $62,500 | $176,000 | $80,000 | ||||||
| Total expenses | $3,285,400 | $5,992,960 | $6,612,960 | ||||||
| Operating income | $146,600 | -$158,560 | $422,640 | ||||||
| Provision for income taxes | $58,640 | -$63,424 | $169,056 | ||||||
| Net income | $87,960 | -$95,136 | $253,584 | ||||||
| Digital Diagnostics | |||||||||
| Balance Sheet | |||||||||
| Yr 1 Actual | Yr 2 Actual | Yr 3 Projected | |||||||
| Assets | |||||||||
| Current assets: | |||||||||
| Cash | $9,000 | $7,282 | $14,000 | ||||||
| Marketable securities | $48,600 | $20,000 | $71,632 | ||||||
| Net accounts receivable | $351,200 | $632,160 | $878,000 | ||||||
| Inventories | $715,200 | $1,287,360 | $1,716,480 | ||||||
| Total current assets | $1,124,000 | $1,946,802 | $2,680,112 | ||||||
| Property and equipment | $491,000 | $1,202,950 | $1,220,000 | ||||||
| Less accumulated depreciation | $146,200 | $263,160 | $383,160 | ||||||
| Net property and equipment | $344,800 | $939,790 | $836,840 | ||||||
| Total assets | $1,468,800 | $2,886,592 | $3,516,952 | ||||||
| Liabilities and shareholders' equity | |||||||||
| Current liabilities: | |||||||||
| Accounts payable | $145,600 | $324,000 | $359,800 | ||||||
| Accrued expenses | $136,000 | $284,960 | $380,000 | ||||||
| Notes payable | $120,000 | $640,000 | $220,000 | ||||||
| Current portion of long-term debt | $80,000 | $80,000 | $80,000 | ||||||
| Total current liabilities | $481,600 | $1,328,960 | $1,039,800 | ||||||
| Long-term debt | $323,432 | $1,000,000 | $500,000 | ||||||
| Shareholders' equity: | |||||||||
| Common stock | $460,000 | $460,000 | $1,680,936 | ||||||
| Retained earnings | $203,768 | $97,632 | $296,216 | ||||||
| Total shareholders' equity | $663,768 | $557,632 | $1,977,152 | ||||||
| Total liabilities and shareholders' equity | $1,468,800 | $2,886,592 | $3,516,952 | ||||||
| Other data: | |||||||||
| Stock price | $8.50 | $6.00 | $12.17 | ||||||
| Shares outstanding | 100,000 | 100,000 | 250,000 | ||||||
| Tax rate | 40% | 40% | 40% | ||||||
| Lease payments | $40,000 | $40,000 | $40,000 | ||||||
| ANSWER | |||||||||
| Industry | |||||||||
| Yr 1 Actual | Yr 2 Actual | Yr 3 Projected | Average | ||||||
| Profitability ratios | |||||||||
| Total margin | 4% | -3% | 6% | 3.6% | |||||
| Return on assets | 6% | -3% | 7% | 9.0% | |||||
| Return on equity | 13% | -17% | 13% | 17.9% | |||||
| Liquidity ratios | |||||||||
| Current ratio | 2.33 | 1.46 | 2.58 | 2.70 | |||||
| Days cash on hand | 1.01 | 0.45 | 0.79 | 22.0 | |||||
| Debt management (capital structure) ratios | |||||||||
| Debt ratio | 55% | 81% | 44% | 50.0% | |||||
| Debt to equity ratio | 0.49 | 1.79 | 0.25 | 2.5 | |||||
| Times-interest-earned ratio | 1.35 | -1.9 | 4.28 | 6.2 | |||||
| Cash flow coverage ratio | 1.65 | -1.24 | 5.78 | 8.00 | |||||
| Asset management (activity) ratios | |||||||||
| Fixed asset turnover | 9.95 | 6.21 | 8.41 | 7.00 | |||||
| Total asset turnover | 2.34 | 2.02 | 2 | 2.50 | |||||
| Days sales outstanding | 37.35 | 39.55 | 45.55 | 32.0 | |||||
| Other ratios | |||||||||
| Average age of plant | 6.1 | ||||||||
| Earnings per share | n/a | ||||||||
| Book value per share | n/a | ||||||||
| Price/earnings ratio | 16.20 | ||||||||
| Market/book ratio | 2.90 | ||||||||
| Digital Diagnostics | |||||||||
| Common Size Statement of Operations | |||||||||
| Industry | |||||||||
| Yr 1 Actual | Yr 2 Actual | Yr 3 Projected | Average | ||||||
| Revenue: | |||||||||
| Net patient service revenue | 100.0% | 100.0% | 100.0% | 100.0% | |||||
| Other revenue | 0.0% | 0.0% | 0.0% | 0.0% | |||||
| Total revenues | 100.0% | 100.0% | 100.0% | 100.0% | |||||
| Expenses: | |||||||||
| Salaries and benefits | 83.0% | 85.0% | 82.0% | 84.5% | |||||
| Supplies | 7.0% | 11.0% | 7.0% | 3.9% | |||||
| Insurance and other | 1.0% | 1.0% | 1.0% | 0.3% | |||||
| Drugs | 1.0% | 1.0% | 1.0% | 0.3% | |||||
| Depreciation | 1.0% | 2.0% | 2.0% | 4.0% | |||||
| Interest | 2.0% | 3.0% | 1.0% | 1.1% | |||||
| Total expenses | 96.0% | 103.0% | 94.0% | 94.1% | |||||
| Operating income | 4.0% | -3% | 6.0% | 5.9% | |||||
| Provision for income taxes | 2.0% | -1.0% | 2.0% | 2.4% | |||||
| Net income | 3.0% | -2.0% | 4.0% | 3.5% | |||||
| Digital Diagnostics | |||||||||
| Common Size Balance Sheet | Industry | ||||||||
| Yr 1 Actual | Yr 2 Actual | Yr 3 Projected | Average | ||||||
| Assets | |||||||||
| Current assets: | |||||||||
| Cash | 0.3% | ||||||||
| Marketable securities | 0.3% | ||||||||
| Net accounts receivable | 22.3% | ||||||||
| Inventories | 41.2% | ||||||||
| Total current assets | 64.1% | ||||||||
| Property and equipment | 53.9% | ||||||||
| Less accumulated depreciation | 18.0% | ||||||||
| Net property and equipment | 35.9% | ||||||||
| Total assets | 100.0% | ||||||||
| Liabilities and shareholders' equity | |||||||||
| Current liabilities: | |||||||||
| Accounts payable | 10.2% | ||||||||
| Accrued expenses | 9.5% | ||||||||
| Notes payable | 2.4% | ||||||||
| Current portion of long-term debt | 1.6% | ||||||||
| Total current liabilities | 23.7% | ||||||||
| Long-term debt | 26.3% | ||||||||
| Shareholders' equity: | |||||||||
| Common stock | 20.0% | ||||||||
| Retained earnings | 30.0% | ||||||||
| Total shareholders' equity | 50.0% | ||||||||
| Total liabilities and shareholders' equity | 100.0% | ||||||||
Please add the work on how to do it on excel. Detailed explanation please. Thank you!
In: Accounting
The following table gives the total area in square miles (land and water) of seven states. Complete parts (a) through (c).
State Area
1 52,300
2 615,400
3 115,000
4 53,600
5 159,500
6 104,800
7 6,100
a. Find the mean area and median area for these states.
The mean is __ square miles.
(Round to the nearest integer as needed.)
The median is ___ square miles.
b. Which state is an outlier on the high end? If you eliminate this state, what are the new mean and median areas for this data set?
State___ is an outlier on the high end.
The new mean is_____square miles.
(Round to the nearest integer as needed.)
The new median is____square miles.
(Round to the nearest integer as needed.)
c. Which state is an outlier on the low end? If you eliminate this state, what are the new mean and median areas for this data set?
State____is an outlier on the low end.
The new mean is_____square miles.
(Round to the nearest integer as needed.)
The new median is_____square miles.
(Round to the nearest integer as needed.)
In: Statistics and Probability
A leasing firm claims that the mean number of miles driven annually, μ, in its leased cars is less than 12700 miles. A random sample of 25 cars leased from this firm had a mean of 12031 annual miles driven. It is known that the population standard deviation of the number of miles driven in cars from this firm is 2800 miles. Assume that the population is normally distributed. Is there support for the firm's claim at the 0.01 level of significance? Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. (If necessary, consult a list of formulas.)
|
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In: Math
An increase in the PV cell temperature will:
Select one or more:
a. Increase the maximum power of the cell
b. Decrease the current of the cell
c. Decrease the open circuit voltage of the cell
d. Decrease the maximum power of the cell
e. Increase the open circuit voltage of the cell
Question 2
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What is the water outlet pressure of a Pelton turbine?
Select one:
a. Less than the inlet pressure
b. Greater than the inlet pressure
c. Equal to the inlet pressure
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Which of the following is a source of indirect emissions from a commercial company?
Select one or more:
a. Electricity purchased
b. Extraction of raw material to manufacture the product
c. Independently owned transport of product to customer
d. Transport of materials to site by vehicles owned and operated by the company
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|
Fuel Combusted |
Energy Factor (GJ/t) |
Emission factor kg CO2-e/GJ |
||
|
CO2 |
CH4 |
N2O |
||
|
Black Coal [Non- coking] |
27.0 |
88.2 |
0.03 |
0.2 |
|
Brown Coal |
10.2 |
92.7 |
0.01 |
0.4 |
|
Coking Coal |
30.0 |
90.0 |
0.02 |
0.2 |
|
Brown Coal Briquettes |
22.1 |
93.3 |
0.06 |
0.3 |
Using the table above, what are the total GHG emissions of a company who consumes 25,000 tonnes of brown coal briquettes?
Answer nearest 1,000 t
Select one:
a. 28,000 t CO2-e
b. 55,000 t CO2-e
c. 52,000 t CO2-e
d. 24,000 t CO2-e
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What is the purpose of a yaw drive on wind turbines?
Select one:
a. Maintain power generation during high wind speed events
b. Communication between turbine gearbox and turbine hub
c. Maintain rotor position to be perpendicular to wind direction
d. Maintain power generation during low wind speed events
What is the specific wind power (W/m2) for a wind speed of 12 m/s?
Answer nearest 100. Assume air density is 1.21 kg/m3.
Select one:
a. 1,200
b. 1,500
c. 1,000
d. 100
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Which of the following can be considered a renewable energy source?
Select one or more:
a. Hydrogen production from solar-assisted electrolysis of water
b. Hydrogen production from oil refined hydrocarbons
c. Nuclear fission
d. Ebb and flow of the tide
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What is the p-layer of traditional solar cells doped with?
Select one:
a. Silicon atoms
b. Phosphorous atoms
c. Aluminium atoms
d. Boron atoms
In: Physics
Suppose that you have isolated the enzyme sucrase (able to hydrolyze sucrose into glucose and fructose), and you wish to determine the nature of inhibitor A for this enzyme. You have prepared five different concentrations of substrate (sucrose), and five different concentrations of inhibitor A (plus the control, with zero mM of inhibitor A). The following Table lists the inhibitor A concentrations [I], substrate concentrations [S], and resulting enzyme velocities (Vo) for all six of these experiments:
|
[I] |
[S] |
Vo |
1/[S] |
1/ Vo |
|
0 mM |
0.1 mM |
0.333333333333 mM per minute |
||
|
0 mM |
0.2 mM |
0.50 |
||
|
0 mM |
0.3 mM |
0.60 |
||
|
0 mM |
0.4 mM |
0.666666666667 |
||
|
0 mM |
0.5 mM |
0.714285714286 |
||
|
0.1 mM |
0.1 mM |
0.20 |
||
|
0.1 mM |
0.2 mM |
0.333333333333 |
||
|
0.1 mM |
0.3 mM |
0.428571428571 |
||
|
0.1 mM |
0.4 mM |
0.50 |
||
|
0.1 mM |
0.5 mM |
0.555555555556 |
||
|
0.20 mM |
0.1 mM |
0.142857142857 |
||
|
0.20 mM |
0.2 mM |
0.25 |
||
|
0.20 mM |
0.3 mM |
0.333333333333 |
||
|
0.20 mM |
0.4 mM |
0.40 |
||
|
0.20 mM |
0.5 mM |
0.454545454545 |
||
|
0.3 mM |
0.1 mM |
0.111111111111 |
||
|
0.3 mM |
0.2 mM |
0.20 |
||
|
0.3 mM |
0.3 mM |
0.272727272727 |
||
|
0.3 mM |
0.4 mM |
0.333333333333 |
||
|
0.3 mM |
0.5 mM |
0.384615384615 |
||
|
0.40 mM |
0.1 mM |
0.090909090909 |
||
|
0.40 mM |
0.2 mM |
0.166666666667 |
||
|
0.40 mM |
0.3 mM |
0.230769230769 |
||
|
0.40 mM |
0.4 mM |
0.285714285714 |
||
|
0.40 mM |
0.5 mM |
0.333333333333 |
||
|
0.5 mM |
0.1 mM |
0.076923076923 |
||
|
0.5 mM |
0.2 mM |
0.142857142857 |
||
|
0.5 mM |
0.3 mM |
0.20 |
||
|
0.5 mM |
0.4 mM |
0.25 |
||
|
0.5 mM |
0.5 mM |
0.294117647059 |
Construct a Michaelis-Menten plot, and a Lineweaver-Burk plot, for all six of these experiments on the same graph (for each plot). Calculate the Vmax, the Km, and the slope (Vmax/Km ) for the control (with [I] = 0 mM) and for each non-zero concentration of inhibitor A ([I] = 0.1, 0.2, 0.3, 0.4, and 0.5 mM). Which type of reversible enzyme inhibition is illustrated by inhibitor A?
Since many of you do not have scanners or cameras to send me an e-mail image of your graphs, the grading of this assignment will be based entirely on your calculations. I will be looking for your six Vmax calculations (6 points), your six Km calculations (6 points), your six Vmax/Km or slope of the line calculations (6 points), and the type of reversible enzyme inhibition that you identify for inhibitor A, along with reasons to justify your identification (2 points).
In: Biology
2. The percentage of people in a population with a certain ailment (Ailment A) is 7.3%.
a. If you select a sample of 10 people from this population, what is the probability that at most two of them will have Ailment A ?
b. What is the probability that at least 3 of them would have this ailment ?
c. If you select a sample of 200 people, what is the probability that less than 10 will have ailment A ? Use the normal approximation technique.
d. What is the probability, in your sample of 200, that at least 20 will have Ailment A ?
4. The accumulated miles between repairs for vehicle engines is 24,000 miles with a standard deviation of 2000 miles. The accumulated miles, which have been recorded over time, follow a normal distribution.
a. Find the probability that an engine you just received will last longer than 26,000 miles.
b. Find the probability that the mean accumulated mileage from a sample of 10 engines exceeds 26,000 miles.
c. Find the 1st, 2nd, and 3rdquartiles for the accumulated miles between repairs.
d. Now, you are looking at vehicle transmissions. The historical data for transmission mileages indicates a population mean of 16,000 miles with a standard deviation of 2600 miles. The mileage for transmissions does not follow a normal distribution. Find the probability that, in a large train shipment of 40 transmissions, the average mileage for this sample will be less than 15,000 miles.
e. If the average for your transmission sample of 40 falls below the bottom 10%, you are going to declare a stand-down of the workforce to determine what is going wrong. What is the cutoff number of miles for the bottom 10% of your sample average?
f. Back to the engines . . . If a single engine is considered a “failure” if it doesn’t accumulate at least 22,000 miles between repairs, what is the chance that an engine will fail to meet its anticipated mileage accumulation?
g. Given the criteria just stated, what would be the “expected number" of failures in the next 1000 engines that are placed into vehicles?
In: Statistics and Probability