4. The next question has to do with the condensation of water a. When water condenses on your glass, does it cool or warm the drink? b. If a can of soda at 1.0 °C has 6.512 grams of water condense on the outside, how much energy was transferred? The heat of condensation of water is 2.26kJ/g. c. If all the energy came from the soda, and the soda has the same heat capacity as water, what is the final temperature of the soda in °F?
5. A 5.69 g sample of copper metal was heated in boiling water to 99.8°C. Then it was dropped into a beaker containing 100.0 g of H2O at 22.6°C. Assuming the water gained all the heat lost by the copper, what is the final temperature of the H2O and Cu? The specific heat of water is CP=4.184 J/g∙°C and the specific heat of copper is CP,Cu=0.386 J/g∙°C
In: Other
1. Fireflies emit light across the visible spectrum, but the peak intensity of their emission is around a wavelength of 550 nm. So let’s make the approximation that all of the light emitted by a firefly has a wavelength of 550 nm. (a) A typical flash of light from a firefly lasts for about 100 ms and has a power of 1.2 mW. How many photons are emitted in each flash. (b) An “electron volt” (eV) is a unit of energy. It is the energy that an electron gains when it “falls through” a potential difference of 1.0 V. What is an electron volt, in Joules. (c) Energy is stored in a firefly’s body (just like in your body) in ATP molecules. The amount of energy provided by metabolizing one ATP molecule is 0.30 eV. How many ATP molecules does the firefly need to metabolize to emit one photon
In: Physics
15- Propane gas flows into a combustion chamber at a rate 250 L/min at 2.0 atmand ambient temperature. Air is added to the chamber at 1.0 atm and the same temperature. The gases are ignited.
a) To get complete combustion of the propane to carbon dioxide and water three times as much oxygen as is stoichiometrically appropriate is required. Assuming air is 21% oxygen and 79% nitrogen, calculate the required flow rate of air?
b )Under the conditions in part a, the combustion is not complete and a mixture of carbon dioxide and carbon monoxide is produced. It is determined that 94.0% of the carbon in the exhaust gas is present as carbon dioxide. The remainder is carbon monoxide. Calculate the percent composition of the exhaust gas in terms of mole fraction of CO, CO2 , O2 , N2 , and H2O. Assume the propane is completely reacted and the nitrogen is totally unreacted.
Can you please explain part B? I got 476.190 mL/min for part A.
In: Chemistry
suppose a woman wants to estimate her exact day of ovulation for contraceptive purposes. A theory exists that at the time of ovulation the body temperature rises 0.5 to 1.0 degrees F thus, changes in body temperature can be used to goes the day of ovulation.
suppose that for this purpose a woman measures her body temperature on awakening on the first 10 days after menstruation and obtains the following data: 95.8, 96.5, 97.4, 97.4, 97.3, 96.0, 97.1, 97.3, 96.2, 97.3.
A. what is the best point estimate of her underlying basal body temperature (population mean)
b. how precise is this estimate (calculate the standard error of the estimate)?
c. compute a 95% confidence interval for the underlying mean basal body temperature using the data. assume that her underlying mean basal body temperature has a normal distribution
In: Math
Write a program that determines the probability of tossing a coin 10 times and getting exactly 0, 1, 2, 3, etc. heads. This is the binomial probability distribution. Store the probability in an array. You could get 0 heads or 10 heads or anything inbetween.
Use a for loop. The for loop will go from 0 to 10 inclusive. Use r as the number of successes. So r will go from 0 to 10. The probability of a success is .5, and also the probability of a failure is .5.
Print out in table form, column 1=r; goes 0 to 10, and then column 2; the probability of r.
Use 4 decimal places for the probability. You know if you get the correct answers because The sum of all the probabilities is 1.0, and all probabilities are in the range of 0 to 1 inclusive.
In C++, prefer visual studios but not required.
In: Computer Science
Nitrosyl bromide (NOBr) can be obtained as a pure liquid at low temperatures. The liquid boils at –2°C, and at room temperature the gas partially decomposes, as shown below. 2 NOBr(g) Á 2 NO(g) + Br2(g) A 2.00-g sample of cold liquid NOBr is injected into a 1.0 L flask. (Assume that the flask was first evacuated so that it does not contain any air or other gases.) When the flask is allowed to come to equilibrium at 298 K, the total pressure inside is measured as 0.624 atm. (5 pts) (a). Calculate the total number of moles of gas present in the flask at equilibrium. (This part should be easy!) (b). Now find the numerical value of Keq for the reaction above at 298 K. (HINT: Set up the usual equilibrium table, and then try to relate the final concentrations to the total number of moles you found in part
In: Chemistry
Consider the following two investors’ portfolios consisting of
investments in four stocks:
Stock Beta Jack's Portfolio Nelson's Portfolio
A 1.3 $2,500 $10,000
B 1.0 $2,500 $5,000
C 0.8 $2,500 $5,000
D -0.5 $2,500 $2,500
Portfolio Expected Return 10% 9%
(a)
Calculate the beta on portfolios of Jack and Nelson
respectively.
(b) Assuming that the risk-free rate is 4% and the expected return
on the
market is 12%, determine the required return on portfolios of Jack
and
Nelson respectively.
(c) From your answers in part (b), explain whether portfolios of
Jack and
Nelson are over-priced, under-priced or correctly priced.
(d) State and explain whether the following statement is true or
false:
“If a security lies above the security market line (SML), then it
must be
over-priced.” (word limit: 150 words)
In: Finance
C++ When an object is falling because of gravity, the following formula can be used to determine the distance that object falls in a specific time period: d = 1/2 g t*t The variables in the formula are as follows: d is the distance in meters g is 9.8 t is the amount of time, in seconds that the object has been falling. Design a function called fallingDistance() that accepts an object's falling time (in seconds) as an argument. The function should return the distance, in meters, that the object has fallen during that time interval. Design a program that calls the function in a loop that passes the values 1 through 10 as arguments and displays the return value. 5 Falling Distance (5 points) Seconds Meters 1.0 4.9 2.0 19.6 3.0 44.1 4.0 78.4 5.0 122.5 6.0 176.4 7.0 240.10000000000002 8.0 313.6 9.0 396.90000000000003 10.0 490.0
In: Computer Science
Refer to the Lincolnville School District bus data.
1. Refer to the maintenance cost variable. The mean maintenance cost for last year is $4,552 with a standard deviation of $2,332. Estimate the number of buses with a maintenace cost of more than $6,000. Compare that with the actual number. Create a frequency distribution of maintenance cost. Is the distribution normally distributed?
2. Refer to the variable on the number of miles driven since the lastm maintenance. The mean is 11,121 and the standard deviation is 617 miles. Estimate the number of buses traveling more than 11,500 miles since the last maintnance. Compare that number with the actual value. Create a frequency distribution of miles since maintenance cost. Is the distribution normally distributed?
| ID | Manufacturer | Engine Type | Engine Type (0=diesel) | Capacity | Maintenance cost | Age | Odometer Miles | Miles |
| 10 | Keiser | Gasoline | 1 | 14 | 4646 | 5 | 54375 | 11973 |
| 396 | Thompson | Diesel | 0 | 14 | 1072 | 2 | 21858 | 11969 |
| 122 | Bluebird | Gasoline | 1 | 55 | 9394 | 10 | 116580 | 11967 |
| 751 | Keiser | Diesel | 0 | 14 | 1078 | 2 | 22444 | 11948 |
| 279 | Bluebird | Diesel | 0 | 55 | 1008 | 2 | 22672 | 11925 |
| 500 | Bluebird | Gasoline | 1 | 55 | 5329 | 5 | 50765 | 11922 |
| 520 | Bluebird | Diesel | 0 | 55 | 4794 | 10 | 119130 | 11896 |
| 759 | Keiser | Diesel | 0 | 55 | 3952 | 8 | 87872 | 11883 |
| 714 | Bluebird | Diesel | 0 | 42 | 3742 | 7 | 73703 | 11837 |
| 875 | Bluebird | Diesel | 0 | 55 | 4376 | 9 | 97947 | 11814 |
| 600 | Bluebird | Diesel | 0 | 55 | 4832 | 10 | 119860 | 11800 |
| 953 | Bluebird | Diesel | 0 | 55 | 5160 | 10 | 117700 | 11798 |
| 101 | Bluebird | Diesel | 0 | 55 | 1955 | 4 | 41096 | 11789 |
| 358 | Bluebird | Diesel | 0 | 55 | 2775 | 6 | 70086 | 11782 |
| 29 | Bluebird | Gasoline | 1 | 55 | 5352 | 6 | 69438 | 11781 |
| 365 | Keiser | Diesel | 0 | 55 | 3065 | 6 | 63384 | 11778 |
| 162 | Keiser | Gasoline | 1 | 55 | 3143 | 3 | 31266 | 11758 |
| 686 | Bluebird | Diesel | 0 | 55 | 1569 | 3 | 34674 | 11757 |
| 370 | Keiser | Gasoline | 1 | 55 | 7766 | 8 | 86528 | 11707 |
| 887 | Bluebird | Diesel | 0 | 55 | 3743 | 8 | 93672 | 11704 |
| 464 | Bluebird | Gasoline | 1 | 55 | 2540 | 3 | 34530 | 11698 |
| 948 | Keiser | Diesel | 0 | 42 | 4342 | 9 | 97956 | 11691 |
| 678 | Keiser | Diesel | 0 | 55 | 3361 | 7 | 75229 | 11668 |
| 481 | Keiser | Gasoline | 1 | 6 | 3097 | 3 | 34362 | 11662 |
| 43 | Bluebird | Gasoline | 1 | 55 | 8263 | 9 | 102969 | 11615 |
| 704 | Bluebird | Diesel | 0 | 55 | 4218 | 8 | 83424 | 11610 |
| 814 | Bluebird | Diesel | 0 | 55 | 2028 | 4 | 40824 | 11576 |
| 39 | Bluebird | Gasoline | re | 55 | 5821 | 6 | 69444 | 11533 |
| 699 | Bluebird | Gasoline | 1 | 55 | 9069 | 9 | 98307 | 11518 |
| 75 | Bluebird | Diesel | 0 | 55 | 3011 | 6 | 71970 | 11462 |
| 693 | Keiser | Gasoline | 1 | 55 | 9193 | 9 | 101889 | 11461 |
| 989 | Keiser | Diesel | 0 | 55 | 4795 | 9 | 106605 | 11418 |
| 982 | Bluebird | Diesel | 0 | 55 | 505 | 1 | 10276 | 11359 |
| 321 | Bluebird | Diesel | 0 | 42 | 2732 | 6 | 70122 | 11358 |
| 724 | Keiser | Diesel | 0 | 42 | 3754 | 8 | 91968 | 11344 |
| 732 | Keiser | Diesel | 0 | 42 | 4640 | 9 | 101196 | 11342 |
| 880 | Keiser | Gasoline | 1 | 55 | 8410 | 9 | 97065 | 11336 |
| 193 | Thompson | Diesel | 0 | 14 | 5922 | 11 | 128711 | 11248 |
| 884 | Bluebird | Diesel | 0 | 55 | 4364 | 9 | 92457 | 11231 |
| 57 | Bluebird | Diesel | 0 | 55 | 3190 | 7 | 79240 | 11222 |
| 731 | Bluebird | Diesel | 0 | 42 | 3213 | 6 | 68526 | 11168 |
| 61 | Keiser | Diesel | 0 | 55 | 4139 | 9 | 103536 | 11148 |
| 135 | Bluebird | Diesel | 0 | 55 | 3560 | 7 | 76426 | 11127 |
| 833 | Thompson | Diesel | 0 | 14 | 3920 | 8 | 90968 | 11112 |
| 671 | Thompson | Gasoline | 1 | 14 | 6733 | 8 | 89792 | 11100 |
| 692 | Bluebird | Diesel | 0 | 55 | 3770 | 8 | 93248 | 11048 |
| 200 | Bluebird | Diesel | 0 | 55 | 5168 | 10 | 103700 | 11018 |
| 754 | Keiser | Diesel | 0 | 14 | 7380 | 14 | 146860 | 11003 |
| 540 | Bluebird | Gasoline | 1 | 55 | 3656 | 4 | 45284 | 10945 |
| 660 | Bluebird | Gasoline | 1 | 55 | 6213 | 6 | 64434 | 10911 |
| 353 | Keiser | Gasoline | 1 | 55 | 4279 | 4 | 45744 | 10902 |
| 482 | Bluebird | Gasoline | 1 | 55 | 10575 | 10 | 116534 | 10802 |
| 398 | Thompson | Diesel | 0 | 6 | 4752 | 9 | 95922 | 10802 |
| 984 | Bluebird | Diesel | 0 | 55 | 3809 | 8 | 87664 | 10760 |
| 977 | Bluebird | Diesel | 0 | 55 | 3769 | 7 | 79422 | 10759 |
| 705 | Keiser | Diesel | 0 | 42 | 2152 | 4 | 47596 | 10755 |
| 767 | Keiser | Diesel | 0 | 55 | 2985 | 6 | 71538 | 10726 |
| 326 | Bluebird | Diesel | 0 | 55 | 4563 | 9 | 107343 | 10724 |
| 120 | Keiser | Diesel | 0 | 42 | 4723 | 10 | 110320 | 10674 |
| 554 | Bluebird | Diesel | 0 | 42 | 1826 | 4 | 44604 | 10662 |
| 695 | Bluebird | Diesel | 0 | 55 | 1061 | 2 | 23152 | 10633 |
| 9 | Keiser | Gasoline | 1 | 55 | 3527 | 4 | 46848 | 10591 |
| 861 | Bluebird | Gasoline | 1 | 55 | 9669 | 10 | 106040 | 10551 |
| 603 | Keiser | Diesel | 0 | 14 | 2116 | 4 | 44384 | 10518 |
| 156 | Thompson | Diesel | 0 | 14 | 6212 | 12 | 140460 | 10473 |
| 427 | Keiser | Gasoline | 1 | 55 | 6927 | 7 | 73423 | 10355 |
| 883 | Bluebird | Gasoline | 1 | 55 | 1881 | 2 | 20742 | 10344 |
| 168 | Thompson | Gasoline | 1 | 14 | 7004 | 7 | 83006 | 10315 |
| 954 | Bluebird | Diesel | 0 | 42 | 5284 | 10 | 101000 | 10235 |
| 768 | Bluebird | Diesel | 0 | 42 | 3173 | 7 | 71778 | 10227 |
| 490 | Bluebird | Gasoline | 1 | 55 | 10133 | 10 | 106240 | 10210 |
| 725 | Bluebird | Diesel | 0 | 55 | 2356 | 5 | 57065 | 10209 |
| 45 | Keiser | Diesel | 0 | 55 | 3124 | 6 | 60102 | 10167 |
| 38 | Keiser | Gasoline | 1 | 14 | 5976 | 6 | 61662 | 10140 |
| 314 | Thompson | Diesel | 0 | 6 | 5408 | 11 | 128117 | 10128 |
| 507 | Bluebird | Diesel | 0 | 55 | 3690 | 7 | 72849 | 10095 |
| 40 | Bluebird | Gasoline | 1 | 55 | 9573 | 10 | 118470 | 10081 |
| 918 | Bluebird | Diesel | 0 | 55 | 2470 | 5 | 53620 | 10075 |
| 387 | Bluebird | Gasoline | 1 | 55 | 6863 | 8 | 89960 | 10055 |
| 418 | Bluebird | Diesel | 0 | 55 | 4513 | 9 | 104715 | 10000 |
In: Statistics and Probability
Consider the natural log transformation (“ln” transformation) of variables labour cost (L_COST), and total number of rooms per hotel (Total_Rooms). 4.1 Use the least squares method to estimate the regression coefficients b0 and b1 for the log-linear model 4.2 State the regression equation 4.3 Give the interpretation of the regression coefficient b1. 4.4 Give an interpretation of the coefficient of determination R2 . Also, test the significance of your model using the F-test. How, does the value of the coefficient of determination affect the outcome of the above test? 4.5 Test whether a 1% increase of the total number of rooms per hotel can increase the labour cost by more than 0.20%? Use the 5% level of significance for this test.
L_COST Total_Rooms
2.165.000 412
2.214.985 313
1.393.550 265
2.460.634 204
1.151.600 172
801.469 133
1.072.000 127
1.608.013 322
793.009 241
1.383.854 172
494.566 121
437.684 70
83.000 65
626.000 93
37.735 75
256.658 69
230.000 66
200.000 54
199.000 68
11.720 57
59.200 38
130.000 27
255.020 47
3.500 32
20.906 27
284.569 48
107.447 39
64.702 35
6.500 23
156.316 25
15.950 10
722.069 18
6.121 17
30.000 29
5.700 21
50.237 23
19.670 15
7.888 8
3.500 15
112.181 18
30.000 10
3.575 26
2.074.000 306
1.312.601 240
434.237 330
495.000 139
1.511.457 353
1.800.000 324
2.050.000 276
623.117 221
796.026 200
360.000 117
538.848 170
568.536 122
300.000 57
249.205 62
150.000 98
220.000 75
50.302 62
517.729 50
51.000 27
75.704 44
271.724 33
118.049 25
40.000 30
10.000 10
10.000 18
70.000 73
12.000 21
20.000 22
36.277 25
36.277 25
10.450 31
14.300 16
4.296 15
379.498 16
1.520 22
45.000 12
96.619 34
270.000 37
60.000 25
12.500 10
1.934.820 270
3.000.000 261
1.675.995 219
903.000 280
2.429.367 378
1.143.850 181
900.000 166
600.000 119
2.500.000 174
1.103.939 124
363.825 112
1.538.000 227
1.370.968 161
1.339.903 216
173.481 102
210.000 96
441.737 97
96.000 56
177.833 72
252.390 62
377.182 78
111.000 74
238.000 33
45.000 30
50.000 39
40.000 32
61.766 25
166.903 41
116.056 24
41.000 49
195.821 43
96.713 20
6.500 32
5.500 14
4.000 14
15.000 13
9.500 13
48.200 53
3.000 11
27.084 16
30.000 21
20.000 21
43.549 46
10.000 21
In: Statistics and Probability