Brian runs a small corner store. Last year he had sales of $260,000. The cost of goods sold was $130,000 and depreciation was $40,000. He did not pay any interest. His taxation rate was 32.5%. His fixed (non-current) assets were valued at $250,000 at the beginning of the year. During the year he invested in some refrigeration equipment and now his fixed assets are valued at $270,000. His net working capital fell by $30,000 because Brian adopted a stricter inventory management process. How much free cash flow (FCF) has Brian's corner store generated for him this year?
Select one: a. $40,750 b. $100,500 c. $70,750 d. $32,077 e. $90,800
In: Finance
John Apple believes her average level of motivation is greater than 8 on her 1-10 scale. Data set below Alpha = .01
A) Here is the alternative hypothesis Ha;u>8 whats the null hypothesis Ho:
B) P value
C) Conclusion about Ho
D) Is John correct?
| Time (wks) | Time Availability (min) | Motivation (1-10) | Exercise (min) |
| 1 | 130 | 5 | 120 |
| 2 | 130 | 7 | 122 |
| 3 | 130 | 5 | 119 |
| 4 | 130 | 8 | 121 |
| 5 | 130 | 7 | 120 |
| 6 | 130 | 9 | 123 |
| 7 | 125 | 7 | 118 |
| 8 | 125 | 8 | 120 |
| 9 | 125 | 6 | 118 |
| 10 | 125 | 8 | 121 |
| 11 | 125 | 6 | 119 |
| 12 | 125 | 7 | 121 |
| 13 | 130 | 4 | 120 |
| 14 | 130 | 7 | 123 |
| 15 | 130 | 6 | 118 |
| 16 | 130 | 5 | 121 |
| 17 | 130 | 8 | 119 |
| 18 | 130 | 9 | 123 |
| 19 | 135 | 5 | 118 |
| 20 | 135 | 6 | 119 |
| 21 | 135 | 7 | 118 |
| 22 | 135 | 9 | 122 |
| 23 | 135 | 4 | 120 |
| 24 | 135 | 5 | 121 |
In: Statistics and Probability
Baggy Green Co. produces cricket kits for amateur and backyard cricket enthusiasts. Last year, the company reached its planned production of 20,000 kits and sold all but 2,000 kits. The kits sell for $50 each. Costs incurred in the production of the kits are as follows:
|
Materials used |
40,000 |
|
Other Variable production costs |
60,000 |
|
Fixed production costs |
100,000 |
|
Variable selling costs |
18,000 |
|
Fixed selling and administrative costs |
100,000 |
Baggy Green Co. uses a normal costing system.
Required:
In: Accounting
1. What is a bank run? Why is it so difficult to stop?
2. Describe how the lender of last resort function of a central bank can reduce runs on banks.
3. Describe how a financial panic can lead to a loss of income and employment in sectors of the economy seemingly unrelated to the financial sector.
In: Finance
Taxes are costs, and, therefore, changes in tax rates can affect consumer prices, project lives, and the value of existing firms. Evaluate the change in taxation on the valuation of the following project:
| 0 | 1 | 2 | 3 | |
| 1.Initial Investment | 100 | |||
| 2. Revenues | 100 | 100 | 100 | |
| 3. Cash operating costs | 50 | 50 | 50 | |
| 4. Tax depreciation | 33.33 | 33.33 | 33.33 | |
| 5. Income pretax | 16.67 | 16.67 | 16.67 | |
| 6. Tax at 40% | 6.67 | 6.67 | 6.67 | |
| 7. Net income | 10 | 10 | 10 | |
| 8. After-tax salvage | 15 | |||
| 9. Cash flow (7+8+4-1) | -100 | 43.33 | 43.33 | 58.33 |
| NPV at 20%=0 |
Assumptions: Tax depreciation is straight-line over three years. Pre-tax salvage value is 25 in year 3 and 50 if the asset is scrapped in year 2. Tax on salvage value is 40% of the difference between salvage value and book value of the investment. The cost of capital is 20%.
In: Finance
Is there at least one independent variable with a non-Zero regression coefficient (is at least one independent variable predictive)?
Use the t statistics computed for each dependent variable.
Which independent variables are not shown to be significant predictors at the 95% level?
Compute a multiple regression using only independent variables that are statistically significant predictors of Self Esteem.
What is the new multiple regression equation?
What is the multiple standard error using only statistically significant independent variables?
What is the newly computed Coefficient of Multiple
Determination?
| City | County | State | Gender | Age | Months Unemployed | Wage at last job | Social support | Financial Hardship | SE | GSE | JSSE |
| Boise | Ada | ID | 1 | 58 | 26.23 | 13 | 38 | 53 | 43 | 34 | 24 |
| Parma | Canyon | ID | 0 | 17 | 3.02 | 15 | 47 | 22 | 33 | 36 | 23 |
| Vale | Malhuer | Or | 0 | 18 | 3.25 | 8 | 40 | 44 | 38 | 36 | 27 |
| Reno | Washoe | NV | 0 | 19 | 2.36 | 12 | 21 | 37 | 38 | 35 | 18 |
| Ontario | Malhuer | OR | 1 | 20 | 2.33 | 9 | 50 | 21 | 46 | 45 | 12 |
| Reno | Washoe | NV | 1 | 20 | 0.71 | 11 | 41 | 57 | 40 | 44 | 30 |
| Reno | Washoe | NV | 1 | 20 | 2.92 | 16 | 50 | 46 | 47 | 45 | 30 |
| Reno | Washoe | CA | 0 | 23 | 0.71 | 9 | 50 | 50 | 50 | 45 | 29 |
| Caldwell | Canyon | ID | 0 | 24 | 0.62 | 22 | 50 | 40 | 50 | 45 | 30 |
| Ontario | Malhuer | OR | 0 | 25 | 7.29 | 9 | 40 | 46 | 44 | 44 | 27 |
| Reno | Washoe | NV | 0 | 25 | 6.83 | 18 | 40 | 52 | 38 | 32 | 28 |
| Boise | Ada | ID | 0 | 26 | 2.62 | 9 | 45 | 29 | 45 | 37 | 25 |
| Reno | Washoe | NV | 0 | 26 | 3.58 | 8 | 38 | 44 | 40 | 36 | 24 |
| Ontario | Malhuer | OR | 0 | 27 | 50.06 | 10 | 49 | 50 | 39 | 35 | 30 |
| Reno | Wahoe | VN | 0 | 27 | 4.73 | 11 | 39 | 55 | 43 | 40 | 27 |
| Kuna | Ada | Id | 1 | 27 | 26.75 | 16 | 21 | 59 | 25 | 26 | 16 |
| Reno | Washoe | NV | 1 | 29 | 59.30 | 10 | 46 | 47 | 32 | 32 | 21 |
| Nampa | Canyon | ID | 1 | 29 | 3.11 | 12 | 20 | 70 | 27 | 24 | 17 |
| Nyssa | Malhuer | Or | 1 | 30 | 3.28 | 8 | 27 | 42 | 45 | 42 | 29 |
| Ontario | Malhuer | Or | 0 | 30 | 2.46 | 23 | 34 | 45 | 29 | 33 | 22 |
| Reno | Washoe | NV | 1 | 30 | 4.79 | 20 | 41 | 45 | 41 | 16 | 19 |
| Ontario | Malhuer | OR | 1 | 31 | 17.32 | 8 | 39 | 41 | 35 | 35 | 19 |
| Reno | Washoe | NV | 0 | 31 | 28.86 | 14 | 36 | 48 | 35 | 27 | 17 |
| Reno | Washoe | NV | 0 | 31 | 8.31 | 26 | 50 | 44 | 48 | 45 | 29 |
| boise | united states | id | 0 | 31 | 7.82 | 12 | 27 | 59 | 33 | 45 | 30 |
| Ontario | Malhuer | Or | 0 | 32 | 13.44 | 24 | 40 | 38 | 40 | 34 | 21 |
| Sparks | Washoe | NV | 1 | 33 | 5.19 | 8 | 48 | 32 | 42 | 39 | 23 |
| Reno | Washoe | NV | 0 | 33 | 23.27 | 16 | 25 | 49 | 37 | 33 | 24 |
| Nyssa | Malhuer | OR | 1 | 34 | 0.32 | 14 | 46 | 50 | 31 | 26 | 26 |
| Ontario | Malhuer | Or | 1 | 35 | 2.85 | 14 | 31 | 47 | 36 | 33 | 20 |
| Reno | Washoe | NV | 1 | 36 | 11.56 | 14 | 30 | 50 | 30 | 37 | 17 |
| boise | ada | id | 0 | 36 | 12.98 | 13 | 46 | 42 | 36 | 30 | 20 |
| Reno | Washoe | NV | 0 | 37 | 3.74 | 11 | 50 | 63 | 50 | 40 | 30 |
| Reno | Washoe | NV | 1 | 37 | 3.08 | 15 | 50 | 68 | 13 | 13 | 30 |
| Meridian | Ada | ID | 0 | 38 | 12.65 | 15 | 47 | 34 | 48 | 36 | 25 |
| Reno | Washoe | NV | 0 | 38 | 17.91 | 12 | 32 | 51 | 31 | 26 | 19 |
| Ontario | Malhuer | OR | 0 | 39 | 2.13 | 9 | 32 | 53 | 35 | 29 | 25 |
| Reno | Wahoe | NV | 1 | 39 | 4.56 | 24 | 41 | 41 | 41 | 33 | 22 |
| Sparks | Washoe | NV | 1 | 41 | 2.26 | 9 | 50 | 66 | 50 | 38 | 23 |
| Reno | Washoe | NV | 0 | 41 | 6.27 | 8 | 33 | 46 | 38 | 34 | 13 |
| Boise | Ada | ID | 1 | 41 | 9.30 | 9 | 37 | 51 | 41 | 27 | 20 |
| Parma | Canyon | ID | 1 | 43 | 0.75 | 30 | 47 | 31 | 40 | 40 | 28 |
| Sparks | Washoe | NV | 1 | 44 | 3.81 | 15 | 39 | 35 | 31 | 24 | 25 |
| nampa | canyon | id | 1 | 44 | 11.60 | 9 | 49 | 51 | 44 | 43 | 25 |
| Vale | Malhuer | Or | 1 | 45 | 1.96 | 9 | 42 | 43 | 38 | 36 | 27 |
| Reno | Washoe | NV | 1 | 45 | 22.38 | 10 | 49 | 32 | 41 | 41 | 24 |
| Meridian | Ada | ID | 1 | 45 | 20.34 | 8 | 27 | 49 | 38 | 34 | 25 |
| Reno | Washoe | NV | 1 | 46 | 1.93 | 15 | 50 | 59 | 33 | 31 | 26 |
| Ontario | Malhuer | Or | 0 | 46 | 1.83 | 10 | 48 | 37 | 40 | 39 | 28 |
| Reno | Washoe | NV | 0 | 46 | 5.81 | 10 | 34 | 56 | 31 | 31 | 26 |
| Ontario | Malhuer | OR | 0 | 47 | 0.55 | 8 | 38 | 49 | 38 | 36 | 21 |
| Nampa | Canyon | ID | 1 | 47 | 46.25 | 12 | 38 | 60 | 20 | 20 | 19 |
| Sparks | Washoe | NV | 0 | 48 | 11.70 | 32 | 46 | 50 | 44 | 41 | 30 |
| Ontario | Malhuer | Or | 0 | 48 | 1.93 | 9 | 24 | 56 | 33 | 27 | 22 |
| Reno | Washoe | NV | 0 | 48 | 45.99 | 14 | 34 | 60 | 35 | 40 | 27 |
| Reno | Washoe | NV | 1 | 48 | 30.30 | 10 | 26 | 46 | 34 | 27 | 20 |
| Reno | Washoe | NV | 0 | 48 | 3.64 | 9 | 35 | 42 | 29 | 32 | 25 |
| Reno | Washoe | NV | 1 | 48 | 3.35 | 12 | 38 | 60 | 37 | 34 | 30 |
| Boise | Ada | ID | 1 | 48 | 5.81 | 11 | 35 | 66 | 22 | 33 | 21 |
| Sparks | Washoe | NV | 0 | 49 | 10.25 | 9 | 45 | 34 | 45 | 40 | 24 |
| Ontario | Malhuer | OR | 0 | 50 | 9.79 | 16 | 30 | 42 | 38 | 32 | 24 |
| Sparks | Washoe | NV | 1 | 50 | 11.86 | 9 | 46 | 62 | 30 | 41 | 28 |
| Sparks | Washoe | NV | 1 | 50 | 13.31 | 13 | 47 | 63 | 29 | 36 | 30 |
| Vale | Malhuer | Or | 1 | 50 | 2.59 | 17 | 45 | 46 | 49 | 45 | 30 |
| Ontario | Malhuer | OR | 0 | 51 | 9.36 | 9 | 39 | 44 | 42 | 42 | 20 |
| Ontario | Malhuer | Or | 0 | 52 | 4.27 | 15 | 50 | 62 | 37 | 27 | 21 |
| Reno | Washoe | NV | 1 | 52 | 7.75 | 20 | 50 | 51 | 47 | 39 | 30 |
| Reno | Washoe | NV | 1 | 52 | 28.86 | 14 | 32 | 42 | 34 | 33 | 25 |
| Ontario | Malhuer | Or | 0 | 53 | 0.78 | 17 | 41 | 38 | 41 | 36 | 27 |
| Reno | Washoe | NV | 0 | 53 | 23.27 | 11 | 32 | 55 | 26 | 27 | 18 |
| Ontario | Malhuer | Or | 0 | 53 | 1.96 | 9 | 18 | 56 | 29 | 28 | 20 |
| Ontario | Malhuer | Or | 1 | 53 | 20.61 | 9 | 35 | 57 | 27 | 28 | 22 |
| Reno | Washoe | NV | 0 | 53 | 2.79 | 8 | 38 | 51 | 38 | 36 | 22 |
| Garden City | ADA | ID | 1 | 53 | 11.47 | 10 | 27 | 52 | 44 | 31 | 25 |
| Vale | Malhuer | OR | 0 | 54 | 0.71 | 10 | 34 | 63 | 26 | 30 | 16 |
| Sparks | Washoe | NV | 1 | 54 | 10.25 | 9 | 23 | 70 | 36 | 36 | 21 |
| Reno | Washoe | NV | 1 | 54 | 3.54 | 9 | 12 | 60 | 38 | 34 | 28 |
| Reno | Washoe | NV | 0 | 54 | 2.65 | 13 | 10 | 42 | 40 | 33 | 18 |
| Nyssa | Malhuer | Or | 1 | 54 | 1.44 | 10 | 46 | 38 | 44 | 29 | 23 |
| Reno | Washoe | NV | 0 | 54 | 10.25 | 14 | 30 | 46 | 26 | 23 | 26 |
| Sparks | Washoe | NV | 0 | 55 | 0.95 | 10 | 35 | 40 | 40 | 34 | 25 |
| Reno | Washoe | NV | 1 | 55 | 12.95 | 19 | 30 | 45 | 38 | 38 | 28 |
| Sparks | Washoe | NV | 1 | 55 | 10.64 | 15 | 49 | 45 | 46 | 35 | 24 |
| Ontario | Malhuer | Or | 0 | 55 | 1.67 | 11 | 38 | 50 | 39 | 35 | 20 |
| Boise | Ada | Id | 1 | 55 | 8.87 | 18 | 36 | 55 | 29 | 32 | 21 |
| Nampa | Canyon | ID | 0 | 55 | 14.33 | 21 | 42 | 51 | 40 | 35 | 23 |
| Vale | Malhuer | Or | 0 | 56 | 2.75 | 8 | 32 | 50 | 42 | 34 | 30 |
| Reno | Washoe | NV | 0 | 56 | 12.25 | 17 | 48 | 59 | 48 | 43 | 28 |
| Reno | Washoe | NV | 1 | 56 | 21.92 | 16 | 37 | 58 | 44 | 38 | 25 |
| Reno | Washoe | NV | 1 | 56 | 22.71 | 21 | 45 | 60 | 41 | 39 | 26 |
| Sun Valley | Washoe | NV | 1 | 56 | 11.17 | 15 | 30 | 62 | 30 | 28 | 19 |
| Boise | Ada | ID | 1 | 56 | 6.96 | 19 | 43 | 47 | 32 | 36 | 27 |
| Sparks | Washoe | NV | 0 | 57 | 1.50 | 12 | 43 | 26 | 36 | 35 | 25 |
| Reno | Washoe | NV | 1 | 57 | 1.80 | 9 | 46 | 40 | 32 | 29 | 30 |
| Reno | Washoe | NV | 1 | 57 | 15.28 | 14 | 29 | 46 | 30 | 24 | 29 |
| Ontario | Malhuer | Or | 0 | 57 | 1.44 | 9 | 33 | 44 | 37 | 33 | 22 |
| Nampa | Canyon | ID | 0 | 57 | 139.91 | 8 | 38 | 49 | 38 | 35 | 25 |
| Reno | Washoe | NV | 0 | 57 | 3.64 | 10 | 36 | 49 | 43 | 37 | 29 |
| Reno | Washoe | NV | 1 | 57 | 65.35 | 17 | 30 | 32 | 38 | 33 | 14 |
| Ontario | Mauhuer | Or | 1 | 58 | 6.30 | 13 | 31 | 42 | 26 | 30 | 30 |
| Reno | Washoe | NV | 1 | 58 | 30.30 | 13 | 49 | 31 | 48 | 41 | 30 |
| Caldwell, Id | Canyon | ID | 1 | 59 | 7.88 | 15 | 43 | 44 | 50 | 41 | 29 |
| Parma | Canyon | ID | 0 | 60 | 1.80 | 9 | 47 | 56 | 23 | 22 | 18 |
| Sparks | Washoe | NV | 0 | 60 | 0.75 | 11 | 39 | 45 | 40 | 36 | 26 |
| Reno | Washoe | NV | 1 | 60 | 40.30 | 14 | 40 | 34 | 40 | 34 | 23 |
| Sparks | Washoe | NV | 0 | 61 | 4.27 | 26 | 44 | 58 | 40 | 42 | 28 |
| Reno | Washoe | NV | 0 | 61 | 4.92 | 18 | 30 | 39 | 30 | 28 | 30 |
| Boise | ADA | Id | 1 | 61 | 9.85 | 17 | 40 | 64 | 33 | 34 | 23 |
| Reno | Washoe | NV | 1 | 64 | 55.85 | 13 | 24 | 56 | 32 | 34 | 29 |
| Sparks | Washoe | NV | 0 | 64 | 1.27 | 8 | 37 | 50 | 45 | 37 | 30 |
| Reno | Washoe | NV | 1 | 64 | 23.89 | 14 | 44 | 60 | 44 | 41 | 27 |
| Nampa | Canyon | ID | 1 | 64 | 24.22 | 16 | 40 | 35 | 42 | 36 | 25 |
| Reno | Washoe | NV | 1 | 67 | 24.39 | 10 | 48 | 38 | 39 | 38 | 26 |
| Ontario | Malhuer | Or | 0 | 68 | 1.31 | 11 | 44 | 51 | 40 | 42 | 30 |
| Reno | Washoe | NV | 0 | 75 | 1.73 | 10 | 49 | 38 | 50 | 37 | 26 |
| Sparks | Washoe | NV | 0 | 87 | 1.04 | 12 | 48 | 33 | 45 | 36 | 19 |
| Ontario | Malhuer | Or | 0 | 121 | 17.61 | 14 | 40 | 45 | 40 | 32 | 20 |
In: Statistics and Probability
Cynthia is a rideshare driver, and she often starts and stops her car. Each time Cynthia starts her car it either runs or stalls. If her car stalls when she starts it, then it always runs the next time she starts it. If her car runs when she starts it, then next time it is ten times as likely to stall as it is to run.
How often in the long run does Cynthia's car run when she starts it? Answer with a fraction in lowest terms.
In: Statistics and Probability
We have an array of numbers, and we start at index 0. At every point, we're allowed to jump from index i to i+3, i+4, or stop where we are. We'd like to find the maximum possible sum of the numbers we visit. For example, for the array [14, 28, 79, -87, 29, 34, -7, 65, -11, 91, 32, 27, -5], the answer is 140. (starting at the 14, we jump 4 spots to 29, then 3 spots to 65, another 3 to 32, then stop. 14 + 29 + 65 + 32 = 140) What's the maximum possible sum we could visit for this array: [95, 69, 68, 44, 0, 53, 34, -83, -8, 38, -63, -89, 34, -91, 1, 39, -7, -54, 85, -25, -47, 89, -57, -18, -22, -50, -74, -91, -38, 99, 73, 7, 44, -47, -35, -70, 26, -54, -28, 7, -26, -73, -48, -76, -18, 94, -54, 65, -71, -10, 5, 64, 55, 68, 7, 41, -52, 57, -75, 90, -21, -47, -88, -5, -9, 46, -8, 71, 34, 82, 10, -37, 37, 1, 49, 91, 80, 57, -56, 83, -58, 24, -34, 30, -65, 42, -28, -84, -58, -62, 20, 89, -43, -16, 9, 37, -21, -71, -27, 93, 93, 3, 24, 51, 19, -54, -20, 43, 96, 15, -4, -30, -12, -88, 95, -89, 63, 63, 26, 34, 9, 66, 40, 59, -69, -29, -3, -89, -58, 45, 68, 45, 92, -51, 89, -75, 0, 14, 46, -20, -90, -83, 82, 29, -32, 68, 55, 41, -85, 56, 97, -11, -25, -28, 65, 61, 54, -36, -24, 98, 49, 19, 3, -94, -46, 26, 92, -72, -29, 93, 71, 15, 3, -89, -66, -85, -42, 83, 43, 27, 76, 71, 62, 44, 9, 2, 40, 8, 78, -6, -61, -93, 28, -46, -48, 25, -34, -91, 73, 90, 77, -5, 98, 1, -5, -85, 63, -15, 57, 20, 71, -67, -60, -46, -71, -9, 62, 99, 80, -15, 53, 29, 52, -91, -78, -77, -57, 21, -74, 46, -11, 74, -21, -48, -7, -56, 54, 8, -51, -61, -46, 79, 42, 97, 61, 40, -99, -13, 55, -53, -71, 80, 31, -35, 77, 89, -2, 75, 59, -66, 87, 23, 48, 80, -28, 86, 54, 37, -41, 95, -87, 79, -49, 8, -95, 66, 79, -38, 75, 49, -30, 7, -46, -44, 43, -26, -63, 23, 77, -8, 36, 83, 10, 12, -34, 32, -63, -32, 47, -5, 53, 66, 32, 14, 24, 28, 57, -48, -89, -51, -26, -21, -37, -41, -17, -40, 19, 25, 89, -11, 92, -43, -50, 53, -36, 50, -12, 68, -28, 18, 62, -48, -86, 87, -80, 58, 73, -93, 81, -86, 26, 3, 51, 74, 37, 45, 85, 12, 49, 93, -93, -5, 61, -64, -48, -11, 68, -36, -83, -18, 30, -53, -88, 6, 43, -38, 50, -28, 91, 49, 21, 86, -15, -18, 2, 0, 55, -73, 85, -49, -18, -90, 89, 79, -21, 23, 38, 43, 83, 72, 63, 14, -35, 81, -2, -71, 70, 51, -26, -20, 74, 10, -37, 61, -29, -62, 18, -46, 75, 98, 18, -4, 25, 13, 70, -34, 79, 16, -55, -7, -56, -55, 79, 29, 13, -31, -12, -29, -33, 12, 17, -5, -59, -12, 76, -6, -4, -5, -90, -45, -33, -14, -56, 64, -99, -65, -98, -97, 35, -50, -63, 8, -7, -46, 3, -69, 24, -23, -6, 78, -21, 2, -99, -29, 75, 40, -30, -40, 10, -41, -65, -42, -88, -8, -32, -2, -39, -95, -73, 32, 99, -35, -88, 81, -32, -19, 58, 83, -73, -23, 1, -34, -40, -39, 35, -52, -24, 57, -44, 2]
In: Computer Science
Assignment
Write a network diagnostics bash script that does the following:
The output of your script should look exactly like this (different numbers are OK). For the ping times output, use the 'avg' number from the ping command. This is the average that is calculated for you -- no need to calculate it in your script.
Ping time to default gateway: 0.348 ms Ping time to example.com: 24.807 ms Interface count: 2, and 2/2 are up There are 7 TCP ports in the LISTEN state
In: Computer Science
2) A racecar is driving at 40 m/s when a rabbit 100 m away runs across the track. It takes 0.8 seconds for the driving to slam on his breaks. If the car decelerates at 8.0 m/s2, how much time does the bunny have to get out of the way?
In: Physics