1-Demonstrate how the spectral emissive power inside a blackbody cavity changes with respect to the
following parameters:
a) Temperature and wavelength, hence, find E?(?, T), by:
(i) Creating a table with the (?, T) values as follows:
1. Wavelengths, ?, from 0.1 ?m to 100 ?m, on the first (left-most) column. Use increments
of:
? 0.1 ?m from 0.1 ?m to 1.0 ?m;
? 0.5 ?m from 1.0 ?m to 10 ?m;
? 1.0 ?m from 10 ?m to 100 ?m;
2. Temperatures, T, values of: 273.15 K; 773.15 K; 1273.15 K; 1773.15 K; 2273.15 K; 5000
K; and, 10000 K.
3. Calculate E?(?, T) using units of W/m2·?m and assume the constants C1 = 374210000
and C2 = 14388.
Set up your table with each separate column corresponding to each given value of T.
Ensure that you clearly label each column in your table and include the relevant units.
[Hint: There should be seven separate columns in your table for the E?(?, T) calculations
and eight columns in your table altogether with the inclusion of the left-most column
consisting of the ? values.
The recommendation is that you fill in each separate column in your table using a
different background colour in order to facilitate the examination of the different T
calculations and to assist in identifying the corresponding plots.]
4. Clearly demarcate the visible region in your table. You may do this by selecting a
different coloured font for the values of ? (and the corresponding E? values) that fall
within this region.
(ii) Plot the calculated values of E?(?, T) ensuring that you set out each plot as follows:
1. Display the calculated E?(?, T) values on the vertical axis.
2. Display the wavelengths on the horizontal axis. Select the logarithmic scale, to base 10,
to display your values on this axis.
3. Clearly demarcate the visible region in each plot.
4. Include a title in each plot, clearly identifying the relevant value of T and ensure that you
label both axes (including units).
[Hint: The recommendation is that you fill in the background of each plot in the same
colour as the corresponding column in your table in order to facilitate the analyses of
the different T calculations.]

Demonstrate how the spectral emissive power inside a blackbody cavity changes with respect to the
following parameters:
a) Temperature and wavelength, hence, find E?(?, T), by:
(i) Creating a table with the (?, T) values as follows:
1. Wavelengths, ?, from 0.1 ?m to 100 ?m, on the first (left-most) column. Use increments
of:
? 0.1 ?m from 0.1 ?m to 1.0 ?m;
? 0.5 ?m from 1.0 ?m to 10 ?m;
? 1.0 ?m from 10 ?m to 100 ?m;
2. Temperatures, T, values of: 273.15 K; 773.15 K; 1273.15 K; 1773.15 K; 2273.15 K; 5000
K; and, 10000 K.
3. Calculate E?(?, T) using units of W/m2·?m and assume the constants C1 = 374210000
and C2 = 14388.
Set up your table with each separate column corresponding to each given value of T.
Ensure that you clearly label each column in your table and include the relevant units.
[Hint: There should be seven separate columns in your table for the E?(?, T) calculations
and eight columns in your table altogether with the inclusion of the left-most column
consisting of the ? values.
The recommendation is that you fill in each separate column in your table using a
different background colour in order to facilitate the examination of the different T
calculations and to assist in identifying the corresponding plots.]
4. Clearly demarcate the visible region in your table. You may do this by selecting a
different coloured font for the values of ? (and the corresponding E? values) that fall
within this region.
(ii) Plot the calculated values of E?(?, T) ensuring that you set out each plot as follows:
1. Display the calculated E?(?, T) values on the vertical axis.
2. Display the wavelengths on the horizontal axis. Select the logarithmic scale, to base 10,
to display your values on this axis.
3. Clearly demarcate the visible region in each plot.
4. Include a title in each plot, clearly identifying the relevant value of T and ensure that you
label both axes (including units).
[Hint: The recommendation is that you fill in the background of each plot in the same
colour as the corresponding column in your table in order to facilitate the analyses of
the different T calculations.]

2. Consider a 0.15 m strontium chloride aqueous solution.

a. Determine the molality (in m) of all solutes in the solution. Assume that strontium chloride completely ionizes when dissolved in water. All solutes means all cations and anions. The molality that you determine here is the value for msolute of (Equation 3) in the “Background and Procedure” file. You must explain your answer. No credit will be given if you write only calculations. (Hint: See Example 3 of the Background and Procedure file.) (10 points)

(Equation 3) ∆T= T_{pure solvent} - T_solution = K_f * m_solute (Equation 3)

It is important to remember that the molality of solutes used in Equation 3 refers to all solutes present in the solution. Example 3: When an ionic compound (strong electrolyte) such as CaCl2 dissolves in water, the compound would completely ionize into cations and anions because CaCl2 is a strong electrolyte. CaCl2(aq) → Ca2+(aq) + 2 Cl−(aq) For CaCl2 solution, every one mole of CaCl2 would produce three moles of solutes combining Ca2+ cations and Cl− anions. So if the concentration of CaCl2 solutions is 1.0 m, then the molality of all solutes in Equation 3 should be calculated by multiplying the concentration of CaCl2 by “3” as follows. 3 × 1.0 m = 3.0 m Again, the multiplier “3” in front of 1.0 m originates from the fact that one CaCl2 completely ionizes into “three” ions (one Ca2+ ion and two Cl− ions). The multiplier depends on ionic compounds. So do not assume that it is always “3”.

b. Consult Table 1. Select the molal freezing point depression constant for the solution of this question. Make sure to write the units! (Hint: What is the solvent in this question?)

Table 1: Molal Freezing Point Depression Constants (Kf) for Some Solvents1 Solvent Kf (°C⋅kg/mol) : Water 1.86 Toluene 3.55 Glycerol 3.56 Benzene 5.07

Kf = ____________

c. Determine the magnitude of the freezing point depression (∆T) of the solution. Show your calculation. (10 points) (Hint: Remember that m = mol/kg when m represents the molality.)

d. Determine the freezing point of the solution. The freezing point of water is 0°C exactly. Show your calculation. (10 points)

Complex numbers using overload constructor and private parameters in C++

I don't know why my code does not compile......

please DO NOT CHANGE THE MAIN....

complexDriver.cpp

#include <iostream>
#include "complex.h"

using namespace std;
int main( ) {
  
// Ex) complex(4.0, 3.0) means 4.0+3.0i.
complex c1, c2( 1.2, 4.9 ), c3( 2.2, 1.0 ), c4( -7.0, 9.6 ), c5(8.1, -4.3),
c6(0.0, -7.1), c7(6.4), c8(0.0, 1.0), c9(0.0, 4.1), c10(0.0, -1.0), c11;

cout << "c1 = " << c1 << endl;
cout << "c2 = " << c2 << endl;
cout << "c3 = " << c3 << endl;
cout << "c4 = " << c4 << endl;
cout << "c5 = " << c5 << endl;
cout << "c6 = " << c6 << endl;
cout << "c7 = " << c7 << endl;
cout << "c8 = " << c8 << endl;
cout << "c9 = " << c9 << endl;
cout << "c10 = " << c10 << endl;
cout << "c11 = " << c11 << endl;

}

complex.h

#ifndef COMPLEX_H
#define COMPLEX_H
#include <iostream>
using std::istream;
using std::ostream;

class complex{
// Stream I/O
friend ostream& operator<<(ostream &, const complex &);
friend istream& operator>>(istream&, complex&);

public:
  
double getReal() const; // getter
void setReal(double x); // setter
double getImaginary() const;
void setImaginary(double y);

// Ex) complex(4.0, 3.0) means 4.0+3.0i.
complex(double x= 0.0, double y= 0.0); // default constructor

private:
double Real;
double Imaginary;

};

#endif // COMPLEX_H

complex.cpp

#include <iostream>
#include "complex.h"

using std::cout;
using std::endl;

double complex::getReal() const{ // getter
return Real;
}
void complex::setReal(double x){ // setter
Real = x;
}
double complex::getImaginary() const{
return Imaginary;
}
void complex::setImaginary(double y){
Imaginary = y;
}

// X= real part, Y = imaginary part. real number = X+Yi
// Ex) complex(4.0, 3.0) means 4.0+3.0i.
complex::complex(double x, double y){ // default constructor
setReal(x);
setImaginary(y);
}

// Stream I/O
ostream& operator<<(ostream &out, const complex &c){
  
out<< c.x<<"+"<< c.y<< "i";
return out;
}

8. You are tasked with trying to restore the biodiversity in a national park. How might your understanding of keystone species affect your management plans?

9. Earth can support more people who are vegetarians than people who regularly consume meat. Why do you think this is?

10. If only 10% of the energy available in a plant is turned into body tissue of a cow, what happens to the other 90%?

11. Which do you think would be a more stable ecosystem: one where each species has only one connection to another species, or one where each species has five connections to other species? Explain your answer.

12. Which community would support the greatest diversity of species—a community composed of species with broad ecological niches or a community composed of species with narrow, specialized ecological niches? Explain your answer.

Please note that for all problems in this course, the standard cut-off (alpha) for a test of significance will be .05, and you always report the exact power unless SPSS output states p=.000 (you’d report p<.001). Also, remember that we divide the p value in half when reporting one-tailed tests with 1 – 2 groups.

1. Paste appropriate SPSS output. (4 pts)

2. Write an APA-style Results section based on your analysis. All homework “Results sections” should follow the examples provided in the presentations and textbooks. They should include the statistical statement within a complete sentence that mentions the type of test conducted, whether the test was significant, and if relevant, effect size and/or post hoc analyses. Don’t forget to include a decision about the null hypotheses. (4 pts)

The following are regression results where Car Price is the dependent variable:

Regression Statistics

?2=0.446R2=0.446 Adjusted ?2=0.441R2=0.441 Observations = 804

Car Price is measured in dollars. The independent variables are:

• Mileage: number of miles the car has been driven
• Cylinder: number of cylinders in the engine
• Liter: a more specific measure of engine size
• Doors: number of doors
• Cruise: dummy variable representing whether the car has cruise control (1 = cruise, 0 = no cruise)
• Sound: dummy variable representing whether the car has upgraded speakers (1 = upgraded, 0 = standard)
• Leather: dummy variable representing whether the car has leather seats (1 = leather, 0 = cloth)

Question 17

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This model (set of independent variables) explains approximately how much of the variation in car prices in this dataset?

Select one:

a. 80.480.4

b. 44.144.1

c. 1−0.441=55.91−0.441=55.9

d. 44.644.6

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What is true about the estimated coefficients?

Select one:

a. The "Mileage" coefficient is unexpectedly small compared to the others, suggesting that miles driven is unimportant in the selling price of a used car.

b. The "Sound" coefficient is unexpectedly negative, suggesting that cars with upgraded speakers are associated with a lower selling price.

c. The negative "Door" coefficient indicates that more doors on a car reduce the car's mileage.

d. The "Mileage" coefficient is unexpectedly negative, since higher miles driven should be associated with a higher selling price.

Question 19

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The results from the ?t-statistics and ?p-values suggests that

Select one:

a. Mileage, Liter, Doors, and Sound are all insignificant since the ?t-stats are negative.

b. Only the coefficient for "Liter" is statistically insignificant. All of the other coefficients are statistically significant at the 1% level.

c. Mileage, Cylinder, Doors, Cruise, and Leather are all insignificant since the ?p-values are zero, meaning unrelated to car price.

d. "Liter" is the only statistically significant estimate since it's ?p-value is 36.4%.

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Which of the following statements is correct, based on the regression results above?

Select one:

a. Every additional mile driven increases the price of the car by $0.17

b. Since the "Liter" coefficient is insignificant, the true effect is actually +787.22 and not -787.22

c. Having four doors instead of two is associated with more than a $3,000 lower price, everything else equal.

d. Cars with cruise control have about 6,300 fewer miles on them than cars without cruise control, everything else equal.

Steve is a contract carrier for the United States Postal Service. He has been hauling mail for nearly thirty years. His current contract is to haul mail between 20 cities in the eleven western states. Steve currently has a fleet of 16 tractors and employs over 20 drivers. He does not own any trailers as all of the trailers are owned by the Postal Service. Steve’s drivers drive scheduled routes between the cities.

The Postal Service has just awarded Steve an additional contract that will require Steve to purchase six new tractors. He competed aggressively for the contract and spent a total of $45,000 in costs to prepare and submit the bid. Steve has narrowed his decision of which truck to buy down to two choices. He can purchase Volvo tractors or Kenworth tractors. The Volvo tractors would cost $285,000 each where the Kenworth would only cost $255,000 each. Both models would be depreciated to zero over 5 years using straight-line depreciation.

The Postal Service contract pays Steve $2.85 per mile. Costs associated with each new tractor include wages for the drivers at $80,000 per truck per year and regular service and maintenance at a cost of $1,750 per month per truck. Fuel costs vary as Volvo is more fuel-efficient than the Kenworth. Assume the tractors will be driven 105,000 miles per year and diesel costs will average about $3.25 per gallon. The Volvo is expected to get 3.6 miles per gallon while the Kenworth will get 3.3 miles per gallon. Insurance and licensing is expected to cost $6,000 per truck per year and is the same for both trucks.

Both models will require a complete engine overhaul at 300,000 miles and Steve estimates that this will be during the third year of ownership. The cost of an overhaul on the Volvo is estimated at $45,000 per truck while the cost on the Kenworth is estimated at $52,000 per truck. All other maintenance costs are believed to be the same for each tractor.

Steve expects to keep the trucks for six years after which time he will sell them. He will not overhaul the tractors in year 6 as it will not increase their value. He predicts that he will be able to sell the Volvo’s for $60,000 each, but the Kenworth will be worth only $50,000 each. Steve’s cost of capital is 14%. The company is in the 34% tax bracket.

When Steve got started in the business his first truck was a Volvo. While they cost more Steve believes that they are a better truck and he love’s the sleek and powerful look of a Volvo. Because of this he is leaning towards buying the Volvo tractors. But after hearing that you have learned about capital budgeting in your Finance class at UVU he wants to take advantage of your expertise. Steve has asked you to analyze his choices and give him some advice on what he should do.

Prepare an analysis and professional report for Steve that includes the following items:

1.         Determine the cash flows associated with the different trucks for each year of the project.

2.         Calculate the PB period, Discounted PB, IRR, and NPV for the two alternatives. Explain to Steve what the different methods mean and how he can use them to help him make a decision.

Please provide a step by step solution

Key the names in indexing order using the ARMA rules. In the upper right corner of each card, key the corresponding number for each name

1. James R. Larsen
2. Bob O’Donald
3. Helen Vandermallie
4. Martha Odell-Ryan
5. Sister Catherine
6. George Harris, Ph.D.
7. Mrs. Georgia Harris
8. Father Jenkins
9. Ty Chen
10. Martha Odellman
11. Allens Swap Shop
12. J. T. Larson
13. Herbert Vander Mallie
14. George Harris, M.D.
15. Mary Allen’s Beauty Shop
16. Marshall Field & Company
17. Georgia Harris
18. Allens’ Print Shop
19. Trans-Continent Truckers
20. George Harris
21. James Larson
22. Hubert Vander Mallie
23. George E. Harris
24. Cayuga Industries
25. North East Fuel Supply
26. AAA Batteries
27. CHAM Radio
28. Higgins Cleaners
29. Electronics Laboratory, General Electric Company
30. Niagara Office Supply
31. Over-30 Club
32. Prince Arthur’s Hair Styling
33. C & H Television Repair
34. First Baptist Church
35. Hotel Isabella

36.   James Danforth, Jr.
37. Burns Travel Agency
38. Strathcona County Water Department
39. Norton R. Henson
40. Sister Marie O’Doul
41. The Lone Ranger Riding Supplies
42. The Jefferson Party House
43. El Rancho Inn
44. Cecil Young-Jones
45. RCT Manufacturers
46. Administrative Management Society
47. Hotel Baker
48. Triple-Star Enterprises
49. Miss Robert’s Charm School
50. Acadia University, Wolfville, Nova Scotia
51. Bob Guerin
52. William T. Au
53. Thomas Kaplan, M.D.
54. Irene McGregor
55. Arthur P. Van der Linden
56. Ontario Municipal Board
57. John Wilkins Supply Corp.
58. Southwestern Distributors
59. Department of Employment and Immigration
60. Four Corners Answering Service
61. Reliable Answering Service
62. Montgomery Ward & Co.
63. South East Pipeline
64. Webbers’ Home for the Aged
65. People’s Republic of China
66. Prince Albert Printing Co.
67. The Mercantile Bank of Canada
68. Aero Bolt and Screw Co., Montreal
69. Strong Memorial Hospital
70. .Surv-Ur-Self Pastries, Inc