3. A single-price monopolist has the schedules given in the table below.
|
Quantity (units) |
Price (MYR) |
Marginal revenue (MYR) |
Marginal cost (MYR) |
|
1 |
22 |
20 |
6 |
|
2 |
20 |
16 |
8 |
|
3 |
18 |
12 |
12 |
|
4 |
16 |
8 |
18 |
|
5 |
14 |
4 |
28 |
a. Determine the profit-maximizing level of output, price as well as the amount of profit or loss at this level. Clarify how you obtain the answer.
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b. Compare between the perfect competition and monopoly market structure.
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[Total: 10 marks]
In: Economics
1. Differentiate barometric price leadership and dominant price leadership.
2. Is there a similarity between cartel pricing and monopoly pricing?
3. What conditions are favorable to the formation and maintenance of a cartel?
4. Can government be a potent force in the establishment and maintenance of monopolistic conditions? Name and describe such occurrences.
5. Describe the properties of the Baumol revenue maximization model. Do you consider this to be a good alternative to the profit maximization model?
6. Telephone companies charge different rates for calls during the day, in the evening, and at night or weekends. Do you consider this to be price discrimination?
In: Finance
Presented Below is Information related to Matrix Company at December 31,2018 the end of its first year of operations:
Account Balance
| Sales Revenue | $775,000 |
| Cost of Goods Sold | $350,000 |
| Selling and administrative expenses | $125,000 |
| Gain on sale of plant assets | $75,000 |
| Unrealized gain on available-for sale debt investments | $25,000 |
| Interest expense | $15,000 |
| Loss on discontinued expense | $30,000 |
| Dividends declared and paid | $12,000 |
Question 1: What is income from continuing operations?
Question 2: What is the difference between continuing operations and net income?
In: Accounting
S & Y are partners with profit sharing ratio as 2:1. The position of the firm 31st December 2004 when they decided to dissolve the business was as follows:
| Liabilities | Rs. | Assets | Rs. | |
|---|---|---|---|---|
| Sundry Creditor | 1,50,000 | Plant & Machinery | 2,50,000 | |
| General Reserve | 1,00,000 | Furniture | 40,000 | |
| Capital Accounts: | Stock | 1,00,000 | ||
| S quad2,20,000 | Debtors | 2,00,000 | ||
| Y quad2,20,000 | 4,40,000 | Cash at bank | 1,00,000 | |
| Total | 6,90,000 | Total | 6,90,000 |
The details or realization was as follows:
1. S took over plant & machinery and furniture at book value less 10%
2. Y took over the stock at Rs. 1,75,000
3. Debtors realized Rs. 1,85,000
4. Sundry creditors were settled at a discount of 5%
Required: Prepare necessary journal entries and ledger accounts to close the books of the firm.
In: Other
On 12 June 2018, George Bennet, a resident taxpayer sold land and buildings for $1,650,000.
George originally bought a block of land for $420,000 on 16 November 2004.
George constructed two dwellings on the property, one his main residence and the other an investment property, which he has been receiving rental income.
George constructed both properties during the 2009/2010 financial year. His main residence was constructed for $480,000 and the investment property was constructed for $380,000.
Each of these buildings was sold with half of the original block, with the sale value of each property being $950,000 for the main residence and $700,000 for the investment property.
Calculate the capital gain for the 2017/2018 year and explain the tax treatment of both properties.
calculation only no need for inflation rate
In: Accounting
The following timeplot charts the value (in millions of dollars) of inventories held by Dell, Incorporated (the computer maker). This time series is quarterly. The scatterplot on the next page graphs the value of inventories on its lag.
(a) Two outliers are evident in the timeplot (high-lighted with ×€™s). These occur for the quarters ending January 31, 2003 and January 31, 2004. Why might inventories have been so high at the end of these quarters?


(b) Why do two outliers in the timeplot produce the four outliers seen in the scatterplot of Yt on Yt -1?
(c) What is the effect of the outliers on the estimated dependence of inventory levels: Do the outliers create the impression of more or less dependence?
(d) How do you recommend treating these outliers when forecasting future levels of inventory at Dell?
In: Statistics and Probability
In 2019, what is the earned income credit allowed Don Andersen, a head of household taxpayer, assuming he has adjusted gross income of $9,500 and earned income of $5,000? He maintains his household with his daughter.
1) $2004
2) $2049
3) $2094
4) $0
5) None of the above answers are within $20 (plus or minus) of the correct answer.
In 2019, what is the earned income credit allowed Don Andersen, a head of household taxpayer, assuming he has adjusted gross income of $20,500 (consisting of interest income of $3,700 and earned income of $16,800)? He maintains his household with his daughter.
1) 3,447
2) 3,474
3) 3,287
4) $0
5) None of the above answers are within $20 (plus or minus) of the correct answer.
In: Accounting
Recall from Activities 16-1 and 16-3 that the Kaiser Family Foundation commissioned an extensive survey in 2004 that investigated the degree to which American youths aged 8–18 have access to various forms of media. Of the 1036 girls in the sample, 64% had a television in their bedrooms, compared to 72% of the 996 boys in the sample.
a. Suppose you want to use these sample results to produce a 95% confidence interval for πg - πb. Describe in words what πg - πb represents.
b. Calculate this interval, and interpret what it reveals. Be sure to mention whether the interval contains all negative values, all positive values, or some of each.
c. Calculate a 99% confidence interval for πg - πb. Comment on how its midpoint and width compare to the 95% interval
note: TT= pi
In: Statistics and Probability
10.52 Predicting water quality for an area of 40 km2. Refer to Exercise 10.48.( Please do only 10.52 )
(a) Find a 95% confidence interval for the mean response corresponding to an area of 40 km2.
(b) Find a 95% prediction interval for a future response corresponding to an area of 40 km2.
(c) Write a short paragraph interpreting the meaning of the intervals in terms of Ozark Highland streams.
(d) Do you think that these results can be applied to other streams in Arkansas or in other states? Explain why or why not.
Here Exercice 10.48 for the data
10.48 Predicting water quality. The index of biotic integrity (IBI) is a measure of the water quality in streams. IBI and land use measures for a collection of streams in the Ozark Highland ecoregion of Arkansas were collected as part of a study.21 Table 10.4 gives the data for IBI, the percent of the watershed that was forest, and the area of the watershed in square kilometers for streams in the original sample with watershed area less than or equal to 70 km2.
(a) Use numerical and graphical methods to describe the variable IBI. Do the same for area. Summarize your results.
TABLE 10.4 Watershed Area (km2), Percent Forest, and Index of Biotic Integrity
| Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | 0 | 47 | 29 | 0 | 61 | 31 | 0 | 39 | 32 | 0 | 59 | 34 | 0 | 72 |
| 34 | 0 | 76 | 49 | 3 | 85 | 52 | 3 | 89 | 2 | 7 | 74 | 70 | 8 | 89 |
| 6 | 9 | 33 | 28 | 10 | 46 | 21 | 10 | 32 | 59 | 11 | 80 | 69 | 14 | 80 |
| 47 | 17 | 78 | 8 | 17 | 53 | 8 | 18 | 43 | 58 | 21 | 88 | 54 | 22 | 84 |
| 10 | 25 | 62 | 57 | 31 | 55 | 18 | 32 | 29 | 19 | 33 | 29 | 39 | 33 | 54 |
| 49 | 33 | 78 | 9 | 39 | 71 | 5 | 41 | 55 | 14 | 43 | 58 | 9 | 43 | 71 |
| 23 | 47 | 33 | 31 | 49 | 59 | 18 | 49 | 81 | 16 | 52 | 71 | 21 | 52 | 75 |
| 32 | 59 | 64 | 10 | 63 | 41 | 26 | 68 | 82 | 9 | 75 | 60 | 54 | 79 | 84 |
| 12 | 79 | 83 | 21 | 80 | 82 | 27 | 86 | 82 | 23 | 89 | 86 | 26 | 90 | 79 |
| 16 | 95 | 67 | 26 | 95 | 56 | 26 | 100 | 85 | 28 | 100 | 91 |
(b) Plot the data and describe the relationship between IBI and area. Are there any outliers or unusual patterns?
(c) Give the statistical model for simple linear regression for this problem.
(d) State the null and alternative hypotheses for examining the relationship between IBI and area.
(e) Run the simple linear regression and summarize the results.
(f) Obtain the residuals and plot them versus area. Is there anything unusual in the plot?
(g) Do the residuals appear to be approximately Normal? Give reasons for your answer.
(h) Do the assumptions for the analysis of these data using the model you gave in part (c) appear to be reasonable? Explain your answer.
In: Statistics and Probability
Read the following text and apply at least 3 guidelines for judging whether the observed association is causal to answer question.
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder and is associated with significant burden. More than half of children with ADHD continue to have this disorder in adulthood and live with many long-term adverse health and social conditions. The worldwide ADHD prevalence in children has been estimated at 7.2%. Genetic factors have been demonstrated to play a role in ADHD etiology with a heritability of 70%-80%. Other factors that play a role include low level of paternal education, low maternal age at delivery, prenatal smoking, prenatal illicit drug use, birth complications, low birth weight, preterm delivery, neonatal jaundice, childhood asthma, maternal depression, use of prenatal antidepressants and acetaminophen exposure. It has been demonstrated that exposure to antibiotics in early life disrupts the equilibrium of gut microbiota and could potentially contribute to the development of ADHD. In a population-based cohort study, researchers found that early antibiotic exposure was associated with the development of ADHD (RR=1.10, 95% Confidence interval 1.01, 1.65).
Is the association between early antibiotic exposure and ADHD causal?
In: Nursing