Questions
1/ a/ When the iron rusts, the reaction below takes place. 4 Fe (s) + 3...

1/

a/

 When the iron rusts, the reaction below takes place.
4 Fe (s) + 3 O2 (g) → 2 Fe2O3 (s)                     ΔH = -1 643 kJ

What is the heat of formation (ΔHof) of Fe2O3? Is a calculation
necessary?

b/

The equation for the decomposition of mercury (II) oxide is as follows.
2 HgO (s) + 182 kJ →  2 Hg (l) + O2 (g)

Determine  ΔHof for HgO (s)?

c/

Calculate  ΔH in the following reactions.
 CO (g) + 1/2 O2 (g) → CO2 (g). 
CH4 (g) + 2 O2 (g)  → CO2 (g) + 2 H2O (g)
 CS2 (g) + 2 H2O (l)  → CO2 (g) + 2 H2S (g)

In: Chemistry

Jarvene Corporation uses the FIFO method in its process costing system. The following data are for...

Jarvene Corporation uses the FIFO method in its process costing system. The following data are for the most recent month of operations in one of the company’s processing departments:

Units in beginning inventory 410
Units started into production 4,310
Units in ending inventory 310
Units transferred to the next department 4,410
Materials Conversion
Percentage completion of beginning inventory 60 % 40 %
Percentage completion of ending inventory 90 % 30 %

The cost of beginning inventory according to the company’s costing system was $7,830 of which $4,824 was for materials and the remainder was for conversion cost. The costs added during the month amounted to $184,110. The costs per equivalent unit for the month were:

Materials Conversion
Cost per equivalent unit $18.00 $24.00

Required:

1. Compute the total cost per equivalent unit for the month.

2. Compute the equivalent units of material and conversion in the ending inventory.

3. Compute the equivalent units of material and conversion that were required to complete the beginning inventory.

4. Compute the number of units started and completed during the month.

5. Compute the cost of ending work in process inventory for materials, conversion, and in total for the month.

6. Compute the cost of the units transferred to the next department for materials, conversion, and in total for the month.

Complete this question by entering your answers in the tabs below.

  • Required 1
  • Required 2
  • Required 3
  • Required 4
  • Required 5
  • Required 6

Compute the total cost per equivalent unit for the month. (Round your answer to 2 decimal places.)

Total cost per equivalent unit

Complete this question by entering your answers in the tabs below.

  • Required 1
  • Required 2
  • Required 3
  • Required 4
  • Required 5
  • Required 6

Compute the equivalent units of material and conversion in the ending inventory.

Materials Conversion
Equivalent units

Complete this question by entering your answers in the tabs below.

  • Required 1
  • Required 2
  • Required 3
  • Required 4
  • Required 5
  • Required 6

Compute the equivalent units of material and conversion that were required to complete the beginning inventory.

Materials Conversion
Equivalent units

Complete this question by entering your answers in the tabs below.

  • Required 1
  • Required 2
  • Required 3
  • Required 4
  • Required 5
  • Required 6

Compute the number of units started and completed during the month.

Number of units started and completed   
  • Required 1
  • Required 2
  • Required 3
  • Required 4
  • Required 5
  • Required 6

Compute the cost of ending work in process inventory for materials, conversion, and in total for the month. (Round your intermediate calculations to 2 decimal places.)

Materials Conversion Total
Cost of ending work in process inventory

Compute the cost of the units transferred to the next department for materials, conversion, and in total for the month. (Round your intermediate calculations to 2 decimal places.)

Materials Conversion Total
Total cost of units transferred out

In: Accounting

1. On the Data sheet, there should only be a maxiumum trans_cnt (transaction count) of 20 per order. Use conditional formating to visually identify if any orders exceed that amount.

 

Question Answer
1. On the Data sheet, there should only be a maxiumum trans_cnt (transaction count) of 20 per order. Use conditional formating to visually identify if any orders exceed that amount. Show conditional formatting
2. How else could you have quickly answered #1?  
3. Use formulas on the Data sheet to run basic descriptive stats on emissions (min, max, mean, median & mode, etc.). (HINT: use the Excel readings to look up formulas if you're unfamiliar) Show answers on Data below emissions column
4. Call out the top and bottom 10 percent of emissions Show conditional formatting
5. What is the range of highest 10% of emissions?  
6. What is the range of lowest 10% of emissions?  
7. How else would you group these emissions to better understand them? (A short written answer is fine. You don't have to show any work for this one.)  
8. What is the longest distance any single item travelled? (You must use a formula to get credit!)  
   
   
   

DATA SHEET

Order_ID trans_cnt cat_cnt category cat1_wgt weight total_km g CO2e emissions copy of total_km copy of g CO2e
00175250501 1 1 Art 54.14 54.14 4,148 3,545 4,148 3,545
00175250628 1 1 Accessories 16.45 16.45 57 7 57 7
00175250657 1 1 Accessories 16.45 16.45 2,443 922 2,443 922
00175251388 1 1 Supplies 25.12 25.12 3,803 2,872 3,803 2,872
00175251961 2 1 Jewelry 4.1 8.2 4,068 527 4,068 527
00175252080 1 1 Supplies 25.12 25.12 751 113 751 113
00175252144 1 1 Jewelry 4.1 4.1 21 1 21 1
00175252312 1 1 Vintage 31.37 31.37 18 4 18 4
00175252475 4 1 Glass 55.62 222.48 483 699 483 699
00175253357 1 1 Jewelry 4.1 4.1 4,849 576 4,849 576
00175253546 1 1 Clothing 12.17 12.17 596 43 596 43
00175254052 1 1 Supplies 25.12 25.12 291 52 291 52
00175254624 9 1 Supplies 25.12 226.08 4,075 14,462 4,075 14,462
00175255997 1 1 Bags_And_Purses 24.65 24.65 1,649 1,261 1,649 1,261
00175256031 1 1 Jewelry 4.1 4.1 126 4 126 4
00175256181 1 1 Art 54.14 54.14 12 5 12 5
00175256315 1 1 Art 54.14 54.14 334 111 334 111
00175256391 1 1 Jewelry 4.1 4.1 425 11 425 11
00175256612 1 1 Crochet 11.48 11.48 1,588 549 1,588 549
00175256613 1 1 Glass 55.62 55.62 775 264 775 264
00175256627 1 1 Art 54.14 54.14 3,675 6,199 3,675 6,199
00175256676 3 1 Jewelry 4.1 12.3 483 36 483 36
00175256835 1 1 Vintage 31.37 31.37 453 85 453 85
00175256861 1 1 Children 10.63 10.63 4,245 691 4,245 691
00175257109 1 1 Jewelry 4.1 4.1 14 0 14 0
00175257200 4 1 Paper_Goods 14.86 59.44 6 3 6 3
00175258396 5 1 Supplies 25.12 125.6 733 548 733 548
00175258519 1 1 Housewares 30.62 30.62 349 64 349 64
00175259229 1 1 Jewelry 4.1 4.1 219 6 219 6
00175259345 2 2 Clothing 12.17 21.14 2,397 1,148 2,397 1,148
00175259352 1 1 Supplies 25.12 25.12 3,713 2,863 3,713 2,863
00175259453 2 1 Jewelry 4.1 8.2 3,644 931 3,644 931
00175259772 2 1 Vintage 31.37 62.74 2,735 5,331 2,735 5,331
00175260244 11 1 Supplies 25.12 276.32 4,252 30,826 4,252 30,826
00175260362 1 1 Art 54.14 54.14 39 15 39 15
00175261489 2 1 Bath_And_Beauty 32.79 65.58 2,430 4,299 2,430 4,299
00175261595 1 1 Accessories 16.45 16.45 122 14 122 14
00175262126 1 1 Art 54.14 54.14 2,890 4,851 2,890 4,851
00175262206 1 1 Housewares 30.62 30.62 398 78 398 78
00175262480 20 1 Supplies 25.12 502.4 2,955 45,987 2,955 45,987
00175262564 1 1 Supplies 25.12 25.12 1,232 184 1,232 184
00175262778 1 1 Vintage 31.37 31.37 476 94 476 94
00175263360 4 1 Clothing 12.17 48.68 602 173 602 173
00175263614 1 1 Weddings 22.92 22.92 4,023 2,332 4,023 2,332
00175263691 1 1 Vintage 31.37 31.37 5,151 2,456 5,151 2,456
00175263754 1 1 Geekery 16.44 16.44 1,009 98 1,009 98
00175264025 6 1 Vintage 31.37 188.22 3,905 11,618 3,905 11,618
00175264184 5 1 Jewelry 4.1 20.5 3,698 2,351 3,698 2,351
00175264360 1 1 Children 10.63 10.63 560 37 560 37
00175264605 1 1 Accessories 16.45 16.45 3,585 1,832 3,585 1,832
00175264674 1 1 Everything_Else 17.56 17.56 1,250 130 1,250 130
00175265125 1 1 Dolls_And_Miniatures 3.84 3.84 5,484 332 5,484 332
00175265274 2 2 Art 54.14 70.58 813 339 813 339
00175266557 1 1 Knitting 8.29 8.29 864 42 864 42
00175266937 2 1 Supplies 25.12 50.24 3,602 5,593 3,602 5,593
00175267166 1 1 Accessories 16.45 16.45 1,101 109 1,101 109
00175267214 1 1 Supplies 25.12 25.12 3,661 2,854 3,661 2,854
00175267285 1 1 Jewelry 4.1 4.1 3,725 471 3,725 471
00175267347 1 1 Supplies 25.12 25.12 3,787 2,869 3,787 2,869
00175267769 1 1 Clothing 12.17 12.17 32 3 32 3
00175269363 1 1 Vintage 31.37 31.37 24 5 24 5
00175269371 1 1 Housewares 30.62 30.62 622 113 622 113
00175270293 1 1 Clothing 12.17 12.17 233 17 233 17
00175270469 1 1 Paper_Goods 14.86 14.86 35 4 35 4
00175271275 1 1 Supplies 25.12 25.12 269 48 269 48
00175271303 1 1 Supplies 25.12 25.12 4,210 1,656 4,210 1,656
00175272078 4 1 Jewelry 4.1 16.4 1,241 121 1,241 121
00175272488 1 1 Jewelry 4.1 4.1 132 4 132 4
00175272506 2 1 Supplies 25.12 50.24 2,869 2,945 2,869 2,945
00175272778 1 1 Vintage 31.37 31.37 3,144 2,905 3,144 2,905
00175272848 1 1 Clothing 12.17 12.17 4,135 763 4,135 763
00175273343 12 1 Supplies 25.12 301.44 17 38 17 38
00175274099 1 1 Art 54.14 54.14 4,090 3,394 4,090 3,394
00175274376 2 1 Glass 55.62 111.24 4,349 7,373 4,349 7,373
00175276799 1 1 Bath_And_Beauty 32.79 32.79 638 125 638 125
00175277020 4 1 Paper_Goods 14.86 59.44 354 126 354 126
00175277034 1 1 Paper_Goods 14.86 14.86 3,676 1,697 3,676 1,697
00175277038 5 1 Children 10.63 53.15 59 22 59 22
00175278093 2 1 Supplies 25.12 50.24 1,525 2,261 1,525 2,261
00175278199 1 1 Bags_And_Purses 24.65 24.65 4,807 1,878 4,807 1,878
00175278292 1 1 Jewelry 4.1 4.1 240 6 240 6
00175278448 1 1 Clothing 12.17 12.17 115 10 115 10
00175278601 3 1 Supplies 25.12 75.36 8 4 8 4
00175278669 1 1 Jewelry 4.1 4.1 4,838 313 4,838 313
00175278778 1 1 Housewares 30.62 30.62 703 128 703 128
00175278915 1 1 Bath_And_Beauty 32.79 32.79 349 74 349 74
00175279341 1 1 Housewares 30.62 30.62 363 80 363 80
00175279552 1 1 Children 10.63 10.63 842 53 842 53
00175279790 2 1 Supplies 25.12 50.24 1,148 341 1,148 341
00175280281 2 1 Jewelry 4.1 8.2 85 5 85 5
00175280606 1 1 Accessories 16.45 16.45 3,138 1,523 3,138 1,523
00175281058 5 2 Clothing 12.17 60.85 84 36 84 36
00175281509 31 1 Supplies 25.12 778.72 672 3,155 672 3,155
00175281592 5 1 Supplies 25.12 125.6 55 50 55 50
00175282014 14 1 Supplies 25.12 351.68 3,869 40,758 3,869 40,758
00175282109 1 1 Art 54.14 54.14 100 39 100 39
00175282544 6 2 Supplies 25.12 169.47 435 439 435 439
00175282593 2 1 Supplies 25.12 50.24 543 167 543 167
00175282731 1 1 Supplies 25.12 25.12 321 51 321 51
00175283135 1 1 Pets 8.97 8.97 3,828 541 3,828 541
00175283577 1 1 Jewelry 4.1 4.1 3,755 447 3,755 447
00175283851 1 1 Vintage 31.37 31.37 4,021 3,633 4,021 3,633
00175283928 1 1 Children 10.63 10.63 877 56 877 56
00175284148 2 1 Art 54.14 108.28 1,256 813 1,256 813
00175284227 1 1 Geekery 16.44 16.44 239 24 239 24
00175284389 2 2 Knitting 8.29 24.74 1,169 174 1,169 174
00175284391 1 1 Accessories 16.45 16.45 3,707 1,770 3,707 1,770
00175284440 1 1 Jewelry 4.1 4.1 4,811 313 4,811 313
00175284776 1 1 Supplies 25.12 25.12 2,417 1,888 2,417 1,888
00175284841 1 1 Jewelry 4.1 4.1 11 0 11 0
00175284852 1 1 Paper_Goods 14.86 14.86 1,116 99 1,116 99
00175284870 1 1 Supplies 25.12 25.12 823 122 823 122
00175284998 1 1 Children 10.63 10.63 1,439 91 1,439 91
00175285191 1 1 Clothing 12.17 12.17 3,903 1,411 3,903 1,411
00175285544 2 1 Accessories 16.45 32.9 4,850 2,531 4,850 2,531
00175285830 2 1 Supplies 25.12 50.24 849 253 849 253
00175286053 1 1 Accessories 16.45 16.45 591 57 591 57
00175286283 1 1 Supplies 25.12 25.12 2,230 1,731 2,230 1,731
00175286708 14 1 Supplies 25.12 351.68 368 802 368 802
00175286837 2 1 Pets 8.97 17.94 1,905 792 1,905 792
00175287882 1 1 Children 10.63 10.63 3,391 981 3,391 981
00175288175 1 1 Vintage 31.37 31.37 864 162 864 162
00175288332 10 1 Supplies 25.12 251.2 538 824 538 824
00175289086 1 1 Jewelry 4.1 4.1 2,214 214 2,214 214
00175289472 1 1 Everything_Else 17.56 17.56 626 65 626 65
00175289580 1 1 Jewelry 4.1 4.1 160 5 160 5
00175289758 1 1 Supplies 25.12 25.12 2,933 2,295 2,933 2,295
00175289898 1 1 Housewares 30.62 30.62 427 79 427 79
00175290274 1 1 Supplies 25.12 25.12 305 47 305 47
00175290463 1 1 Plants_And_Edibles 24.4 24.4 298 46 298 46
00175290779 1 1 Art 54.14 54.14 493 163 493 163
00175291106 2 1 Knitting 8.29 16.58 2,731 1,118 2,731 1,118
00175291121 2 2 Supplies 25.12 29.22 15 3 15 3
00175291246 1 1 Supplies 25.12 25.12 74 13 74 13
00175291883 1 1 Paper_Goods 14.86 14.86 1,344 119 1,344 119
00175291890 1 1 Paper_Goods 14.86 14.86 3,469 1,497 3,469 1,497
00175293044 1 1 Jewelry 4.1 4.1 299 7 299 7
00175293113 1 1 Housewares 30.62 30.62 87 19 87 19
00175293498 1 1 Bath_And_Beauty 32.79 32.79 2,960 3,007 2,960 3,007
00175293739 1 1 Children 10.63 10.63 428 28 428 28
00175293992 11 1 Supplies 25.12 276.32 358 611 358 611
00175294333 1 1 Vintage 31.37 31.37 3,009 2,888 3,009 2,888
00175294616 1 1 Accessories 16.45 16.45 4,275 1,856 4,275 1,856
00175294621 1 1 Toys 20.57 20.57 584 74 584 74
00175294870 1 1 Art 54.14 54.14 146 57 146 57
00175295089 1 1 Jewelry 4.1 4.1 95 3 95 3
00175295321 1 1 Woodworking 42.97 42.97 1,047 271 1,047 271
00175295801 1 1 Children 10.63 10.63 1,770 553 1,770 553
00175295823 2 1 Supplies 25.12 50.24 447 134 447 134
00175296412 2 2 Housewares 30.62 40.58 220 64 220 64
00175296430 1 1 Vintage 31.37 31.37 3,805 3,610 3,805 3,610
00175296926 2 1 Jewelry 4.1 8.2 745 36 745 36
00175298269 1 1 Supplies 25.12 25.12 1,657 1,286 1,657 1,286
00175298455 1 1 Children 10.63 10.63 3,160 1,037 3,160 1,037
00175298864 2 1 Supplies 25.12 50.24 2,953 4,598 2,953 4,598
00175298892 1 1 Bags_And_Purses 24.65 24.65 3,626 2,770 3,626 2,770
00175299107 1 1 Art 54.14 54.14 3,196 3,741 3,196 3,741
00175299121 1 1 Jewelry 4.1 4.1 32 1 32 1
00175299138 1 1 Vintage 31.37 31.37 4,050 2,013 4,050 2,013
00175300376 2 1 Jewelry 4.1 8.2 4,020 521 4,020 521
00175300818 1 1 Clothing 12.17 12.17 3,612 1,103 3,612 1,103
00175300821 1 1 Children 10.63 10.63 3,660 1,204 3,660 1,204
00175301010 15 1 Supplies 25.12 376.8 5,011 29,264 5,011 29,264
00175301204 1 1 Children 10.63 10.63 839 53 839 53
00175301299 5 1 Plants_And_Edibles 24.4 122 95 83 95 83
00175301309 1 1 Supplies 25.12 25.12 3,670 2,856 3,670 2,856
00175301678 3 1 Supplies 25.12 75.36 2,586 4,664 2,586 4,664
00175301735 5 1 Supplies 25.12 125.6 4,096 7,845 4,096 7,845
00175302080 1 1 Jewelry 4.1 4.1 2,963 376 2,963 376
00175302298 1 1 Children 10.63 10.63 3,040 979 3,040 979
00175302330 6 1 Supplies 25.12 150.72 439 410 439 410
00175302657 1 1 Everything_Else 17.56 17.56 30 4 30 4
00175302903 1 1 Jewelry 4.1 4.1 3,394 272 3,394 272
00175303058 1 1 Children 10.63 10.63 2,100 135 2,100 135
00175303383 1 1 Paper_Goods 14.86 14.86 183 20 183 20
00175303616 1 1 Everything_Else 17.56 17.56 271 34 271 34
00175303968 1 1 Supplies 25.12 25.12 1,111 166 1,111 166
00175304410 1 1 Supplies 25.12 25.12 86 15 86 15
00175305202 22 1 Supplies 25.12 552.64 53 210 53 210
00175305534 1 1 Jewelry 4.1 4.1 258 7 258 7
00175305542 8 1 Supplies 25.12 200.96 828 999 828 999
00175305610 1 1 Supplies 25.12 25.12 4,809 1,914 4,809 1,914
00175305701 7 1 Supplies 25.12 175.84 1,257 1,320 1,257 1,320
00175306928 1 1 Jewelry 4.1 4.1 2,859 364 2,859 364
00175307167 2 1 Art 54.14 108.28 3,301 10,157 3,301 10,157
00175307216 2 1 Jewelry 4.1 8.2 3,650 931 3,650 931
00175307475 1 1 Jewelry 4.1 4.1 1,414 176 1,414 176
00175307551 1 1 Everything_Else 17.56 17.56 868 90 868 90
00175307596 1 1 Supplies 25.12 25.12 1,642 1,114 1,642 1,114
00175307602 1 1 Supplies 25.12 25.12 2,224 1,586 2,224 1,586
00175307711 1 1 Vintage 31.37 31.37 2,923 2,154 2,923 2,154
00175308000 2 1 Jewelry 4.1 8.2 4,321 540 4,321 540
00175308721 1 1 Bags_And_Purses 24.65 24.65 115 20 115 20
00175309248 1 1 Crochet 11.48 11.48 451 32 451 32
00175309495 2 1 Vintage 31.37 62.74 4,012 3,985 4,012 3,985
00175309791 1 1 Art 54.14 54.14 626 202 626 202
00175309842 1 1 Accessories 16.45 16.45 4,043 1,055 4,043 1,055
00175309843 1 1 Jewelry 4.1 4.1 142 4 142 4
00175309892 2 2 Knitting 8.29 33.41 4,015 2,123 4,015 2,123
00175310092 1 1 Jewelry 4.1 4.1 222 5 222 5

In: Statistics and Probability

A social scientist would like to analyze the relationship between educational attainment (in years of higher...

A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows:

Salary Education
43 7
54 4
77 4
53 2
67 5
53 6
114 8
48 0
29 5
50 1
91 9
52 3
59 2
55 5
149 10
51 0
80 9
73 8
135 8
28 0

a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 2 decimal places.)

Salaryˆ= _________ + __________ Education


b. Interpret the coefficient for Education.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $8,590.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $6,890.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $8,590.

  • As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $6,890.

c. What is the predicted salary for an individual who completed 6 years of higher education? (Round coefficient estimates to at least 4 decimal places and final answer to the nearest whole number.)

Salaryˆ + _____ $

In: Statistics and Probability

Consider the IVPs: (A) y'+2y = 1, 0<t<1 , y(0)=2. (B) y' = y(1-y), 0<t<1 ,...

Consider the IVPs: 
        (A)  y'+2y = 1,   0<t<1 ,  y(0)=2.
        (B)  y' = y(1-y), 0<t<1 ,  y(0)=1/2.

1. For each one, do the following:
  a. Find the exact solution y(t) and evaluate it at t=1.
  b. Apply Euler's method with  Δt=1/4  to find Y4 ≈ y(1).
     Make a table of tn, Yn for n=0,1,2,3,4.
  c. Find the error at t=1.

2. Euler's method is obtained by approximating y'(tn) by a forward finite difference.
   Use the backward difference approximation to y'(tn+1) to derive the 
   Backward Euler Method:   Yn+1 = Yn + Δt f(tn+1, Yn+1) , n=0,1,2,...  

   Note that now the unknown Yn+1 appears inside f(.,.), so this equation needs to be 
   solved for Yn+1 at each time-step!!! whence it is also called Implicit Euler Method.
   For the simple ODEs (A), (B) above, the updating equation can be solved by hand, 
   but in general a root-finder (like Newton-Raphson) is needed.
   This scheme is also 1st order, but it has better stability properties than Explicit Euler.

   For each IVP problem (A), (B), do the following:
  a. Apply the Backward Euler Method with  Δt=1/4  to find Y4 ≈ y(1).
  b. Find the error at t=1 and compare with Explicit Euler.


3. Use the centered difference approximation to y'(tn) to derive the so called 
   Midpoint Method:   Yn+1 = Yn-1 + 2 Δt f(tn, Yn) , n=1,2,... 
 
   Note that this requires both Yn-1 and Yn to produce Yn+1.  It is a 2-step method, 
   hence not self-starting (need Y0 and Y1 before it can be applied), 
   so some single-step method (like Euler) must be used to start it off.
   However, it has the advantage of being a 2nd order method, and explicit.
 
   For each IVP problem (A), (B), do the following:
  a. Apply the Midpoint Method with  Δt=1/4  to find Y4 ≈ y(1).
  b. Find the error at t=1 and compare with Explicit Euler and with Implicit Euler.
     Which method seems to be doing better in this case ?

In: Advanced Math

Solve y^(4) + y′′/4 = 2x + 4. (Hint: The method of undetermined coefficients may be...

Solve y^(4) + y′′/4 = 2x + 4. (Hint: The method of undetermined coefficients may be useful in this case.)

In: Math

Suppose an object is 4 sided marked as {1,2,3,.., 4. Now you toss this object 4...

Suppose an object is 4 sided marked as {1,2,3,.., 4. Now you toss this object 4 times. Let nS be the number of outcomes in this sample space. Let A be the event consisting of all outcomes in which 2 occurs at least once. How many outcomes are there in A? It is whole number. Computer follows comma rule when entering large numbers. For example, 1123 is entered as 1,123

In: Statistics and Probability

24. Show that (x ^p) − x has p distinct zeros in Zp, for any prime...

24. Show that (x ^p) − x has p distinct zeros in Zp, for any prime p. Conclude that (x ^p) − x = x(x − 1)(x − 2)· · ·(x − (p − 1)).

(this is not as simple as showing that each element in Zp is a root -- after all, we've

seen that in Z6[x], the polynomial x^2-5x has 4 roots, 0, 5, 2, and 3, but x^2-5 is not equal to (x-0)(x-5)(x-2)(x-3))

In: Advanced Math

Carla Vista Co. has had 4 years of record earnings. Due to this success, the market...

Carla Vista Co. has had 4 years of record earnings. Due to this success, the market price of its 470,000 shares of $4 par value common stock has increased from $15 per share to $54. During this period, paid-in capital remained the same at $5,640,000. Retained earnings increased from $4,230,000 to $28,200,000. CEO Don Ames is considering either (1) a 15% stock dividend or (2) a 2-for-1 stock split. He asks you to show the before-and-after effects of each option on (a) retained earnings, (b) total stockholders’ equity, and (c) par value per share.

(A)

1.      Stock dividend - retained earnings $______

2.      2-for-1 stock split - retained earnings $______

(B)

PAID-IN CAPITAL: Original Balance: ______ After dividend: _____ After Split: _____
RETAINED EARNINGS: Original Balance: _____ After dividend: _____ After Split: _____
TOTAL STOCKHOLDERS EQUITY: Originical Balance: _____ After dividend: _____ After Split: _____
SHARES OUTSTANDING: Original Balance: _____ After dividend: _____ After Split: ______

(C)

Stock dividend - par value per share $______

2-for-1 stock split - par value per share $______

In: Accounting

Investor W has the opportunity to invest $615,000 in a new venture. The projected cash flows...

Investor W has the opportunity to invest $615,000 in a new venture. The projected cash flows from the venture are as follows. Use Appendix A and Appendix B.

  

Year 0 Year 1 Year 2 Year 3 Year 4
Initial investment $ (615,000)
Taxable revenue $ 81,500 $ 76,500 $ 66,500 $ 61,500
Deductible expenses (18,000) (18,000) (21,500) (21,500)
Return of investment 615,000
Before-tax net cash flow $ (615,000) $ 63,500 $ 58,500 $ 45,000 $ 655,000

  

Investor W uses a 7 percent discount rate.

a-1. Complete the table below to calculate NPV. Assume her marginal tax rate over the life of the investment is 15 percent.

a-2. Should Investor W make the investment?

b-1. Complete the table below to calculate NPV. Assume her marginal tax rate over the life of the investment is 20 percent.

b-2. Should Investor W make the investment?

c-1. Complete the table below to calculate NPV. Assume her marginal tax rate in years 1 and 2 is 10 percent and in years 3 and 4 is 25 percent.

c-2. Should Investor W make the investment?

In: Finance