| The firm's demand is as follows: | Total variable costs are: | |||||
| Price | Quantity | Quantity | TVC | |||
| $18 | 2 | 2 | $15 | |||
| 16 | 3 | 3 | 21 | |||
| 15 | 4 | 4 | 27 | |||
| 14 | 5 | 5 | 32 | |||
| 13 | 6 | 6 | 37 | |||
| 12 | 7 | 7 | 44 | |||
| 10 | 8 | 8 | 52 | |||
| Fixed costs are $15 | ||||||
|
at all quantities |
||||||
1. What is the Marginal Revenue at a quantity of 5?
2, What is the Marginal Cost at a quantity of 7?
3. Using the MR-MC rule, what is the profit maximizing quantity this firm should produce?
4. How much profit do they make at this quantity?
In: Economics
| The firm's demand is as follows: | Total variable costs are: | |||||
| Price | Quantity | Quantity | TVC | |||
| $18 | 2 | 2 | $15 | |||
| 16 | 3 | 3 | 21 | |||
| 15 | 4 | 4 | 27 | |||
| 14 | 5 | 5 | 32 | |||
| 13 | 6 | 6 | 37 | |||
| 12 | 7 | 7 | 44 | |||
| 10 | 8 | 8 | 52 | |||
| Fixed costs are $15 | ||||||
|
at all quantities |
||||||
1. What is the Marginal Revenue at a quantity of 5?
2, What is the Marginal Cost at a quantity of 7?
3. Using the MR-MC rule, what is the profit maximizing quantity this firm should produce?
4. How much profit do they make at this quantity?
In: Economics
In: Economics
Explain in 200 words the relationship between Openness and economic development by calculating the correlation coefficient between GDP per capita (proxy for economic development) and Openness for Paraguay and Poland, respectively.
| Country Name | Country Code | Series Name | Series Code | 2001 [YR2001] | 2002 [YR2002] | 2003 [YR2003] | 2004 [YR2004] | 2005 [YR2005] | 2006 [YR2006] | 2007 [YR2007] | 2008 [YR2008] | 2009 [YR2009] | 2010 [YR2010] | 2011 [YR2011] | 2012 [YR2012] | 2013 [YR2013] | 2014 [YR2014] |
| Paraguay | PRY | Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 3459319570 | 3402825624 | 3625989129 | 4371893087 | 5083809323 | 6252319090 | 7818347667 | 9993980610 | 8210295841 | 11036468064 | 13186264509 | 12278348692 | 14356651476 | 13954911448 |
| Paraguay | PRY | GDP (current US$) | NY.GDP.MKTP.CD | 7662595076 | 6325151760 | 6588103836 | 8033877360 | 8734653809 | 10646157920 | 13794910634 | 18504130753 | 15929902138 | 20030528043 | 25099681461 | 24595319574 | 28965906502 | 30881166852 |
| Paraguay | PRY | GDP per capita (current US$) | NY.GDP.PCAP.CD | 1417 | 1148 | 1175 | 1409 | 1507 | 1810 | 2312 | 3060 | 2600 | 3226 | 3988 | 3856 | 4480 | 4713 |
| Paraguay | PRY | GINI index (World Bank estimate) | SI.POV.GINI | 55 | 57 | 56 | 53 | 51 | 54 | 52 | 51 | 50 | 52 | 53 | 48 | 48 | 52 |
| Paraguay | PRY | Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 2727373823 | 2298406126 | 2623501714 | 3307792347 | 4018039423 | 5221045741 | 6461917817 | 9166237324 | 7130137358 | 10313046052 | 12621883682 | 11979621541 | 12983600420 | 13242370791 |
| Poland | POL | Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 51878648721 | 57137009804 | 72632296220 | 87410323710 | 105952277925 | 130565028203 | 165538367008 | 202086584758 | 163740453116 | 191967370760 | 225042181278 | 222344181762 | 242809098962 | 259386390289 |
| Poland | POL | GDP (current US$) | NY.GDP.MKTP.CD | 190521263343 | 198680637255 | 217518642325 | 255102252843 | 306134635594 | 344826430298 | 429249647595 | 533815789474 | 440346575958 | 479257883742 | 528725113046 | 500284003684 | 524201151607 | 545075908846 |
| Poland | POL | GDP per capita (current US$) | NY.GDP.PCAP.CD | 4981 | 5197 | 5694 | 6681 | 8021 | 9041 | 11260 | 14001 | 11542 | 12598 | 13891 | 13144 | 13780 | 14340 |
| Poland | POL | GINI index (World Bank estimate) | SI.POV.GINI | 33 | 34 | 35 | 35 | 35 | 34 | 34 | 34 | 34 | 33 | 33 | 32 | 33 | 32 |
| Poland | POL | Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 58766945944 | 63908088235 | 78406788377 | 94256069554 | 109183717624 | 137680257857 | 180703003578 | 228993441806 | 167514280213 | 201543256955 | 235386043059 | 224546822229 | 232598709188 | 251529270071 |
In: Economics
Historically, the average score of PGA golfers for one round is 74 with a standard deviation of 3.91. A random sample of 110 golfers is taken. What is the probability that the sample mean is between 73.63 and 74?
Question 2 options:
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In: Statistics and Probability
The national association of realtors estimates that 23% of all homes purchased in 2004 were considered investments properties. If a sample of 800 homes sold in 2004 is obtained what is the probability that between 175 and 200 homes are going to be used as a investment property?
In: Statistics and Probability
2. Calculate Mean Absolute Error ( MAD) for the data in question 1 for the three methods used. Round MAD to two decimal places. ( 4 marks)
|
Year |
Revenue |
4-Year Moving Average |
Absolute Error |
4 Weighted Moving Average Weights 4,3,2,1 |
Absolute Error |
Exponential Smoothing α = 0.6 |
Absolute Error |
|
2010 |
75 |
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2011 |
81 |
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2012 |
74 |
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2013 |
79 |
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2014 |
69 |
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2015 |
92 |
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2016 |
73 |
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2017 |
85 |
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2018 |
90 |
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2019 |
73 |
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2020 Forecast |
What does MAD measures? which of these three forecasting methods provides better forecast of the revenue data ? ( 2 mark)
In: Statistics and Probability
On January 1, 2021, the general ledger of Big Blast Fireworks includes the following account balances:
| Accounts | Debit | Credit | ||||
| Cash | $ | 22,900 | ||||
| Accounts Receivable | 39,000 | |||||
| Allowance for Uncollectible Accounts | $ | 4,100 | ||||
| Inventory | 35,000 | |||||
| Land | 69,100 | |||||
| Accounts Payable | 29,900 | |||||
| Notes Payable (12%, due in 3 years) | 35,000 | |||||
| Common Stock | 61,000 | |||||
| Retained Earnings | 36,000 | |||||
| Totals | $ | 166,000 | $ | 166,000 | ||
The $35,000 beginning balance of inventory consists of 350 units, each costing $100. During January 2021, Big Blast Fireworks had the following inventory transactions:
| January | 3 | Purchase 1,400 units for $154,000 on account ($110 each). | ||
| January | 8 | Purchase 1,500 units for $172,500 on account ($115 each). | ||
| January | 12 | Purchase 1,600 units for $192,000 on account ($120 each). | ||
| January | 15 | Return 125 of the units purchased on January 12 because of defects. | ||
| January | 19 | Sell 4,600 units on account for $690,000. The cost of the units sold is determined using a FIFO perpetual inventory system. | ||
| January | 22 | Receive $665,000 from customers on accounts receivable. | ||
| January | 24 | Pay $495,000 to inventory suppliers on accounts payable. | ||
| January | 27 | Write off accounts receivable as uncollectible, $3,000. | ||
| January | 31 | Pay cash for salaries during January, $119,000. |
The following information is available on January 31, 2021.
I ONLY NEED HELP WITH A-D (all of the January 31st journal entries plus recording the closing entry for revenue and expenses.
In: Accounting
Suppose you work at a local state hospital. In 2015, the infectious disease department of the hospital was operating at max capacity. Your supervisor has given you the job of presenting to the hospital leadership board about the number of patients who contracted infections while at 30 different hospitals in your state in 2015. The board will use your findings to make informed decisions about possible expansion of the infectious disease department. You will review the data, create visuals for the data, and create a presentation for the hospital leadership board to help with the decision.
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2015 |
|
|
Hospital |
Infections |
|
1 |
89 |
|
2 |
58 |
|
3 |
96 |
|
4 |
206 |
|
5 |
31 |
|
6 |
16 |
|
7 |
249 |
|
8 |
79 |
|
9 |
29 |
|
10 |
6 |
|
11 |
222 |
|
12 |
108 |
|
13 |
58 |
|
14 |
54 |
|
15 |
81 |
|
16 |
64 |
|
17 |
9 |
|
18 |
130 |
|
19 |
37 |
|
20 |
121 |
|
21 |
27 |
|
22 |
6 |
|
23 |
95 |
|
24 |
7 |
|
25 |
18 |
|
26 |
37 |
|
27 |
140 |
|
28 |
74 |
|
29 |
134 |
|
30 |
184 |
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Infection Class |
Frequency |
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6 - 81 |
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82 - 156 |
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157-231 |
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232-306 |
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Infections |
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Min |
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Q1 |
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Median |
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Q3 |
|
|
Max |
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|
Check for Outliers |
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IQR |
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Lower |
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Upper |
|
In: Statistics and Probability
The following transactions have been encountered in practice. Assume that all amounts are material.
a. A company decided to put the assets of one product line up for sale (intended to be sold within next year) because management had decided to outsource production of that product to Mexico. The company established a plan of sale and engaged an industrial broker. The assets consisted of inventory with a carrying value of $80,000 and equipment with a carrying value of $840,000. The estimated recoverable amount was $60,000 for the inventory and $560,000 for the equipment, before deducting a 5% broker’s commission.
b. A company suffered damages due to heavy snow accumulation and an ice storm that caused one of their warehouses to collapse amounting to $800,000. The company has had damages due to heavy winds ripping off the roof of one of their warehouses but never due to an ice and snow storm.
c. A company paid $225,000 damages assessed by the courts as a result of an injury to an employee while working on heavy machinery two years earlier.
d. A company sold a capital asset and recorded a gain of $50,000. The asset originally had a carrying value of $660,000 but had been written down to $500,000 in the prior year.
e. A major supplier of raw materials to a company experienced a prolonged strike. As a result, the company reported a loss of $250,000. This is the first such loss; however, the company has three major suppliers, and strikes are not unusual in the industry. With the economic downturn it is anticipated that more strikes are likely next year.
f. A Canadian company owns a majority of the shares of a publicly traded subsidiary in India. The shares have been held for a number of years and are viewed as long term investments. During the past year, 10% of the shares were sold to meet an unusual cash demand. Additional disposals are not anticipated. In the process of translating the subsidiary’s financial statements from rupees to the Canadian dollar, a translation adjustment arose from exchange rate changes that had occurred over the year.
Required:
For each of the foregoing transactions, explain how financial statement elements will be affected and how the results of the transactions and events should be reported in each company’s year end financial statements.
In: Accounting