Calculate the equilibrium constant for the reaction
S₂O₈^2-(aq) + 2 Fe²⁺(aq) --> 2 Fe³⁺(aq) + 2 SO₄^2-(aq) at 25.0°C, given that the standard cells potentials for the two half reactions at this temperature are
S₂O₈^2-(aq) + 2 e^- 2 SO₄^2-(aq) E = +2.08 V
Fe³⁺(aq) + e^- Fe²⁺(aq) E = +0.77 V

A 10.45-m³ sample of gas (310K, 745mmHg pressure) was passed through a series of traps that removed teh water from the gas. The gas that came out was found to be at 780mmHg pressure and 273K. Its volume was 8.73-m³. What was the percentage of water vapor (v/v) in the original sample of gas? Assume ideal behavior for all gasous compounds.

1. A galvanic cell is based on the following half-reactions at 285 K:

Ag⁺ + e^- → Ag     E^o = 0.803 V  
H₂O₂ (aq) + 2 H⁺ + 2 e^- → 2 H₂O     E^o = 1.78 V

What will the potential of this cell be when [Ag⁺] = 0.571 M, [H⁺] = 0.00341 M, and [H₂O₂] = 0.895 M?

Please show full work .

How will the equivalence point volume change if you titrate the two solutions (solution 1: a 10mL vinegar solution that has a concentration of 5%(w/v%))(solution 2: a 10-mL vinegar solution that has a concentration of 5% (w/v%) together with 30mL of water). What is the pH of the equivalence point of the two solutions if you titrate with 0.3M NaOH?

A simple generator has a square armature 7.0cm on a side. The armature has 95 turns of 0.59-mm-diameter copper wire and rotates in a 0.800-T magnetic field. The generator is used to power a lightbulb rated at 12.0 V and 25.0 W. At what rate should the generator rotate to provide 12.0 V to the bulb? Consider the resistance of the wire on the armature.

The Personnel Department at Hernandez Bros. is centralized and provides services to the two operating units: Miami and New York. The Miami unit is the original unit of the company and is well established. The New York unit is new, much like a start-up company. The costs of the Personnel Department are allocated to each unit based on the number of employees in order to determine unit profitability. The current rate is $560 per employee. Data for the fiscal year just ended show the following.

Miami New York

Number of employees 1,260 360

Number of new hires 16 26

Number of employees departing 14 24

Orlando, the manager of the New York unit, is unhappy with the results of the controller’s study. He asks the controller to develop separate rates for fixed and variable costs in the Personnel Department. The controller reports back to Orlando that the rates would be as follows:

Allocation based on Variable Rate Fixed Rate Total Rate

Employees $ 80 per employee $ 180 per employee $ 260 per employee

Transitions $ 2,060 per transition $ 4,015 per transition $ 6,075 per transition

Required: a. Orlando argues that New York should only be allocated the variable costs from this system, because the company would have to pay the fixed costs even if New York did not exist. Compute the cost allocated to each unit using the approach Orlando prefers.

2.

Upriver Parts manufactures two products, V-1 and V-2, at its River Plant. Selected data for an average month for the two products follow.

	V-1			V-2
Units produced		10,000			1,000
Direct materials cost per unit	$	2		$	4
Machine hours per unit		1			2
Production runs per month		80			40

Production at the plant is automated and any labor cost is included in overhead. Data on manufacturing overhead at the plant follow.

Machine depreciation	$	78,000
Setup labor		34,800
Material handling		17,760
Total	$	130,560

Required:

a. Compute the unit costs for the two products V-1 and V-2 using the current costing system at Upriver (using machine hours as the allocation basis). (Do not round intermediate calculations. Round your answers to 2 decimal places.)
b. Compute the unit costs for the two products V-1 and V-2 using the proposed ABC system at Upriver.

Dataset #2 – Star War Film Data

Description: Weekly domestic box office revenues for the 8 Star War films

Research ‘Question’: Find a ‘best’ linear model to predict Star War revenue/day using the number of theaters, number of weeks since release, film number, and release year.

theaters	weeknum	film	year	revperday
3672	1	IV	1977	18498679.7
3672	2	IV	1977	9505314.86
3672	3	IV	1977	4127697.71
3672	4	IV	1977	2632591
3422	5	IV	1977	1950438.14
3311	6	IV	1977	2521766.29
3186	7	IV	1977	2831227.86
2681	8	IV	1977	1023363.71
2170	9	IV	1977	652710.714
1851	10	IV	1977	566439
1202	11	IV	1977	250623.714
907	12	IV	1977	179533.714
505	13	IV	1977	102494.857
311	14	IV	1977	74403.1429
206	15	IV	1977	44651.5714
215	16	IV	1977	46953.5714
228	17	IV	1977	54924.2857
172	18	IV	1977	29591.1429
291	19	IV	1977	76476.1429
270	20	IV	1977	59581
160	21	IV	1977	41030.1429
111	22	IV	1977	28579.4286
57	23	IV	1977	22707.5714
43	24	IV	1977	17242.4286
40	25	IV	1977	11668.7143
30	26	IV	1977	9229
3682	1	V	1980	15161652.6
3682	2	V	1980	8844278.29
3682	3	V	1980	5120454.57
3387	4	V	1980	1772898.57
3025	5	V	1980	1165040.57
2505	6	V	1980	1340427.71
2505	7	V	1980	1944470
2015	8	V	1980	799467
1550	9	V	1980	421755.857
1077	10	V	1980	303789.143
783	11	V	1980	142854.857
502	12	V	1980	85785.1429
352	13	V	1980	52545.1429
441	14	V	1980	70452.4286
388	15	V	1980	45788.2857
388	16	V	1980	41332.7143
360	17	V	1980	39414.5714
205	18	V	1980	24388.8571
151	19	V	1980	17734.5714
95	20	V	1980	14462.7143
80	21	V	1980	12256.4286
72	22	V	1980	4412
15	23	V	1980	786.285714
7	24	V	1980	455.285714
3855	1	VI	1983	17580664.1
3855	2	VI	1983	7119019.71
3805	3	VI	1983	3913192.71
3004	4	VI	1983	2412629
2725	5	VI	1983	1652119.43
2002	6	VI	1983	977608.429
1460	7	VI	1983	643752.429
1008	8	VI	1983	404027.429
605	9	VI	1983	240410.429
409	10	VI	1983	169831.286
310	11	VI	1983	107789.429
248	12	VI	1983	80801.4286
391	13	VI	1983	95609.8571
391	14	VI	1983	90454.4286
321	15	VI	1983	38485
228	16	VI	1983	29893
246	17	VI	1983	25054
164	18	VI	1983	11661.4286
119	19	VI	1983	9036
74	20	VI	1983	8862.57143
55	21	VI	1983	7250
55	22	VI	1983	5731.71429
3858	1	I	1999	20897581.3
3858	2	I	1999	9015073
3858	3	I	1999	3487897.43
3325	4	I	1999	1834563.57
2750	5	I	1999	1438515.14
2424	6	I	1999	1818900.29
2316	7	I	1999	1315771.29
1555	8	I	1999	510037.571
1003	9	I	1999	345916.714
560	10	I	1999	159016.429
340	11	I	1999	96117.5714
245	12	I	1999	69097
160	13	I	1999	49419.4286
441	14	I	1999	136217
422	15	I	1999	93123.1429
331	16	I	1999	57197.7143
231	17	I	1999	39329.1429
191	18	I	1999	29226.5714
140	19	I	1999	22458.7143
89	20	I	1999	14974.7143
4285	1	II	2002	19483946.1
4285	2	II	2002	7050087.71
4005	3	II	2002	3828435.43
3125	4	II	2002	2158583
2585	5	II	2002	1212925.71
1955	6	II	2002	817540.571
1322	7	II	2002	488799.571
1017	8	II	2002	417103.143
775	9	II	2002	193287.571
589	10	II	2002	143490.429
320	11	II	2002	59758.8571
241	12	II	2002	41315.4286
408	13	II	2002	74103.8571
377	14	II	2002	54086.4286
283	15	II	2002	38864.1429
225	16	II	2002	27574.1429
159	17	II	2002	18940
105	18	II	2002	14270.4286
90	19	II	2002	9984.85714
56	20	II	2002	8214.28571
52	21	II	2002	4788.28571
38	22	II	2002	2020.85714
4325	1	III	2005	21314847.9
4455	2	III	2005	6561318.43
4393	3	III	2005	3879632
3455	4	III	2005	1973952.71
2771	5	III	2005	1146060.29
1936	6	III	2005	718753.857
1508	7	III	2005	474352.286
1091	8	III	2005	403442.857
744	9	III	2005	173298.571
415	10	III	2005	78098.7143
301	11	III	2005	51525.8571
190	12	III	2005	33442.8571
505	13	III	2005	84180.1429
356	14	III	2005	51179.8571
245	15	III	2005	33814.8571
201	16	III	2005	21102
135	17	III	2005	17775.7143
95	18	III	2005	11938.8571
44	19	III	2005	7837.85714
44	20	III	2005	6345.28571
36	21	III	2005	3118.28571
23	22	III	2005	1052.42857
4125	1	VII	2015	24281289.7
4125	2	VII	2015	8218801.86
4125	3	VII	2015	3098252
3577	4	VII	2015	1644693.14
1840	5	VII	2015	1302432.86
1732	6	VII	2015	1294747
1732	7	VII	2015	918122.286
1507	8	VII	2015	442270.857
941	9	VII	2015	291175.571
725	10	VII	2015	168580.857
465	11	VII	2015	109324.714
365	12	VII	2015	71774.2857
409	13	VII	2015	93213.2857
321	14	VII	2015	77634.8571
303	15	VII	2015	45363.7143
208	16	VII	2015	30144.8571
122	17	VII	2015	20494.5714
94	18	VII	2015	14027.7143
85	19	VII	2015	12463.4286
66	20	VII	2015	8202.42857
4375	1	VIII	2017	32302438.4
4375	2	VIII	2017	10059634.3
4145	3	VIII	2017	4872357.86
3175	4	VIII	2017	2777846.71
2414	5	VIII	2017	1630078.29
1738	6	VIII	2017	963457.571
1328	7	VIII	2017	558613
1092	8	VIII	2017	564588.286
810	9	VIII	2017	196717.429
601	10	VIII	2017	136677.857
320	11	VIII	2017	76497
252	12	VIII	2017	53219.8571
407	13	VIII	2017	86566.5714
330	14	VIII	2017	57112.1429
240	15	VIII	2017	35131
163	16	VIII	2017	22387.2857
225	17	VIII	2017	21222.2857
85	18	VIII	2017	10420.1429
78	19	VIII	2017	5208.14286

State your hypothesis for Experiment 1 here:

            Due to natural selection, rabbits with the brown fur trait will be less likely to survive predation by wolves within the artic environment because the brown fur trait of these rabbits are easier to spot in a white (artic) environment causing the wolves to be able to hunt them easier. In contrast, the rabbits with the white fur trait can easily camouflage and adapt to their environment causing the wolves to have a difficult time to find prey.

Data Table 1		Graphical Data		Percentage calculations
Generation number	Number of Brown Rabbits	Number of White Rabbits	Total Rabbits	% Brown Rabbits	% White Rabbits
2	0	6	6	0%	100%
5	2	53	55	3.6%	96.4%
7	0	130	130	0%	100%
10	2	640	642	.30%	99.7%

4. Does the data in the table above support your hypothesis for this experiment? Be sure to use

    your data in explaining whether the hypothesis was supported or not.

5. Explain how the fur color trait was influenced by natural selection in your experiment.

1. write a hypothesis for this chart?

Data Table 2		Graphical Data		Percentage calculations
Generation number	Number of Long-tooth Rabbits	Number of Short-tooth Rabbits	Total Rabbits	% Long-tooth Rabbits	% Short-tooth Rabbits
2	3	54	57	5.26%	94.73%
4	6	474	480	1.25%	98.75%
7	0	4	4	0%	100%
10	0	1	1	0%	100%

3. Does the data in the table above support your hypothesis for this experiment? Be sure to use

    your data in explaining whether the hypothesis was supported or not.

4. Explain how the tooth length trait was influenced by natural selection in your experiment.

*ratings for typed answers ONLY*

Answer the following question: How would your results differ if you performed the experiment on Mars? with the given information below!

Using the slope of your T² versus L plot, determine the acceleration due to gravity.

The slope of the graph = 0.042924

Acceleration due to gravity 39.47/0.042924=939,761

Acceleration due to gravity = 9.39 m/s²

Based on your results, please answer the following questions:

1. How close is your experimentally determined gravitational acceleration to 9.81 m/s²? What are potential sources for error in the experiment?

Based on our calculus, our result equals 9.39 m/s2 is close to the value of 9.81 m/s2. The explanation for the small difference is represented by potential errors that took place during the experiment. In most cases, this is due to human error. This can include parallax error that took place when the measurement of lengths was done or a mistake in recording the period of time.

2. For small angles, does the pendulum's period of oscillation depend on the initial angular displacement from equilibrium? Explain.

It is important to understand that the period T is dependent on the length of the string. As we can see, the higher the length is, the longer the value of T is. Because of that, the period T won't be dependent on the mass of the initial angular displacement.

3. Why is it a good idea to use a relatively heavy mass in this experiment? What would you say to a colleague that wanted to use only one washer as the pendulum mass?

An important thing during this experiment is to keep the string as straight as possible during the entire period of motion. In order to do that, it needs to use a relatively high mass to straighten the line. Using only one washer can lead to an incorrect result. This is because one washer represents a small weight, and the air resistance will be more effective.

. A comparative balance sheet for the Rivera Corporation is presented below:

Rivera Corporation

Comparative Balance Sheet

                                            2016                     2015      

               Assets

Cash                                     $  25,000                  $33,000

Accounts receivable (net)       23,000                  14,000

Merchandise Inventory                   41,000                  25,000

Equipment                    73,000                    78,000

Accumulated Depreciation  (27,000)  46,000   (24,000)  54,000

Total Assets                            $135,000        $126,000

                Liabilities and Stockholders' Equity

Accounts payable                                $  23,000                  $ 43,000

Income Tax Payable                  26,000                20,000

Bonds payable                             20,000                     10,000

Common stock                          25,000              25,000

Retained earnings                       41,000            28,000

Total liabilities/Stockholders' Equity $135,000                  $126,000

Additional information:

  1. Net Income for 2016 is $38,000. Net sales for 2016 are $286,000.

  2. Cash dividends of $25,000 were declared and paid in 2016

  3. During the year, equipment was sold for $10,000 for cash. This equipment cost

    $13,000 originally and had a book value of $10,000 at the time of sale.

  4. All depreciation for the year was $6,000.

  5. Additional equipment was purchased for $8,000 cash.

Prepare a statement of cash flows for the year ended 2016 using the               indirect method.