a) Suppose that you learned the demand curve for your company's product is given by the following table:
|
Quantity Demanded (Units) |
Total Revenue (Dollars) |
| 12 | 120 |
| 13 | 130 |
| 14 | 140 |
| 15 | 150 |
| 16 | 160 |
Refer to Table 1. For your company, what is the average revenue and the marginal revenue when 14 units are produced and sold?
| a. |
average revenue is $10, marginal revenue is $14. |
|
| b. |
average revenue is $140, marginal revenue is $140. |
|
| c. |
average revenue is $140, marginal revenue is $10. |
|
| d. |
average revenue is $10, marginal revenue is $10. |
b) Continue from Table 1 in question (a), your company is MOST LIKELY to be in which type of market structure?
| a. |
monopoly |
|
| b. |
oligopoly |
|
| c. |
perfect competition |
|
| d. |
monopolistic competition |
In: Economics
data
| year | state | realbeertax | mwdef | pc_perinc | pop1620 | ur1620_r | ANYBAC26 | NOBAC26 | NOBAC1620 | ANYBAC1620 | |
| 1998 | 1 | 0.639528 | 6.21428 | 22025 | 330397 | 13.46843 | 260.8 | 402.2 | 117.2 | 42.8 | |
| 1999 | 1 | 0.630308 | 6.124692 | 22722 | 329695 | 14.9065 | 258.6 | 420.4 | 119.9 | 41.1 | |
| 2000 | 1 | 0.617784 | 6.002995 | 23767 | 327992 | 16.51312 | 255.5 | 359.5 | 114.4 | 38.6 | |
| 2001 | 1 | 0.603291 | 5.862171 | 24740 | 321840 | 17.4932 | 222 | 389 | 113.1 | 36.9 | |
| 2002 | 1 | 0.592925 | 5.761446 | 25461 | 315225 | 16.43963 | 231.4 | 402.6 | 98.7 | 40.3 | |
Use R Studio. (you just need to write R code)
year = year state = A code identifying the relevant U.S. state
realbeertax = the state tax per gallon of beer sold pc_perinc =
personal income per person pop1620 = population ages 16-20 ur1620_r
= unemployment rate among people age 16-20 (in percent) ANYBAC26 =
number of fatal accidents involving alcohol among people age 26 and
up ANYBAC1620 = number of fatal accidents involving alcohol among
people age 16-20 NOBAC26 = number of fatal accidents not involving
alcohol among people age 26 and up NOBAC1620 = number of fatal
accidents not involving alcohol among people age 16-20 mwdef =
minimum wage (in 2006 dollars)
1, Create a new variable that is equal to the log of personal
income per person (pc_perinc).
2,Note that this dataset includes observations from all states and from all years between 1998 and 2002. For simplicity, let’s focus on one year: 2001. Create a new object consisting of the data only for 2001
3,We now have a cross-sectional dataset that includes several quantitative variables. One question we might ask is, what is the relationship between (the log of) personal income per capita and a state’s minimum wage? Create a graph that would let you evaluate this relationship visually
4, Use R to calculate the correlation between the two variables you
plotted in question 5.
In: Statistics and Probability
QUESTION #2 Part A Lunenberg Ltd, a publicly accountable enterprise, began business on January 1, 2015 and follows IFRS. Its pretax accounting income for the first two years was as follows: 2015 $ 80,000 2016 150,000
The following items caused the only differences between pretax accounting income and taxable income.
1. In 2015, the company collected $75,000 in rental revenue; of this amount, $25,000 was earned in 2015; the other $50,000 will be earned equally during 2016 and 2017. The full $75,000 was included in taxable income in 2015.
2. The company pays $5,000 in 2015and 2016 for membership in a local golf club.
3. In 2016, the company terminated a top executive and agreed to pay $30,000 severance pay. This will be paid $10,000 each year for three years, starting in 2016. The 2016 payment was made. The entire $30,000 was expensed in 2016 for book purposes.
For tax purposes, the severance pay is deductible only when it is paid.
The enacted tax rates at December 31, 2015 are: 2015 30% 2017 40% 2016 35% 2018 40%
Instructions:
(a) Calculate taxable income and income tax payable for 2015 and 2016
(b) Calculate the deferred income tax asset and/or liability at the end of 2015, and prepare the adjusting journal entries to record income taxes for 2015
In: Accounting
Municipal Electric is an electric utility that faces demand curve D1 during night hours (2300–0700) and demand D2 during daytime hours (0700–2300). Municipal Electric is required to provide service to satisfy demand, but can vary prices in an effort to curtail demand and ensure that the supply grid is not overtaxed. Municipal Electric is the monopoly provider of electricity. The demand and marginal revenue functions are: D1 : P1 = 4 − 0.001Q1 MR1 = 4 − 0.002Q1 D2 : P2 = 16 − 0.001Q2 MR2 = 16 − 0.002Q2 where Q = MW delivered per hour. The marginal cost of generating and delivering electricity depends on the amount delivered: MC = 1 + 0.004Q (a) In order to ensure grid reliability, the utility’s management uses peak-load pricing. This scheme raises prices during high-demand periods to ensure that demand does not exceed grid capacity. Calculate the appropriate prices to charge (P1 and P2) and determine the amount of electricity delivered, Q1 and Q2. (b) Explain how switching from a uniform pricing scheme to a peak load pricing scheme affects the market. Be as precise as you can about the differences between uniform and peak-load pricing. Use no less than one and no more than three complete sentences.
In: Economics
(please provide detailed solution with formula and figures)
the researcher considers using regression analysis to establish a linear relationship between the two variables – hours worked per week and yearly income. a) What is the dependent variable and independent variable for this analysis? Why? b) Use an appropriate plot to investigate the relationship between the two variables. Display the plot. On the same plot, fit a linear trend line including the equation and the coefficient of determination R2 . c) Estimate a simple linear regression model and present the estimated linear equation. Display the regression summary table and interpret the intercept and slope coefficient estimates of the linear model. d) Display and interpret the value of the coefficient of determination, R-squared (R2 ).
|
Hours Per Week |
Yearly Income ('000's) |
|
18 |
43.8 |
|
13 |
44.5 |
|
18 |
44.8 |
|
25.5 |
46.0 |
|
11.5 |
41.2 |
|
18 |
43.3 |
|
16 |
43.6 |
|
27 |
46.2 |
|
27.5 |
46.8 |
|
30.5 |
48.2 |
|
24.5 |
49.3 |
|
32.5 |
53.8 |
|
25 |
53.9 |
|
23.5 |
54.2 |
|
30.5 |
50.5 |
|
27.5 |
51.2 |
|
28 |
51.5 |
|
26 |
52.6 |
|
25.5 |
52.8 |
|
26.5 |
52.9 |
|
33 |
49.5 |
|
15 |
49.8 |
|
27.5 |
50.3 |
|
36 |
54.3 |
|
27 |
55.1 |
|
34.5 |
55.3 |
|
39 |
61.7 |
|
37 |
62.3 |
|
31.5 |
63.4 |
|
37 |
63.7 |
|
24.5 |
55.5 |
|
28 |
55.6 |
|
19 |
55.7 |
|
38.5 |
58.2 |
|
37.5 |
58.3 |
|
18.5 |
58.4 |
|
32 |
59.2 |
|
35 |
59.3 |
|
36 |
59.4 |
|
39 |
60.5 |
|
24.5 |
56.7 |
|
26 |
57.8 |
|
38 |
63.8 |
|
44.5 |
64.2 |
|
34.5 |
55.8 |
|
34.5 |
56.2 |
|
40 |
64.3 |
|
41.5 |
64.5 |
|
34.5 |
64.7 |
|
42.3 |
66.1 |
|
34.5 |
72.3 |
|
28 |
73.2 |
|
38 |
74.2 |
|
31.5 |
68.5 |
|
36 |
69.7 |
|
37.5 |
71.2 |
|
22 |
66.3 |
|
33.5 |
66.5 |
|
37 |
66.7 |
|
43.5 |
74.8 |
|
20 |
62.0 |
|
35 |
57.3 |
|
24 |
55.3 |
|
20 |
56.1 |
|
41 |
61.5 |
In: Statistics and Probability
A researcher wonders if people who listen to music via ear buds have a different hearing loss compared to the general population. On a standard hearing test, the mean (μ) is 24.75. Higher values indicate better hearing; lower values indicate worse hearing. The researcher gave this same test to a random sample of 10 individuals who regularly use ear buds. Their data on the hearing test is below. Calculate descriptive statistics for the data and use the five steps of hypothesis testing to determine if using ear buds significantly changes hearing.
24, 26, 27, 21, 28, 30, 30, 35, 29, 20 -
Compute the mean and standard deviation.
Mean = 27 SD = 4.4969 Step
1: What are your null and alternative hypotheses?
Null hypothesis = There is no significant difference in hearing loss between individuals who listen to music via earbuds and the general population. Alternative hypothesis = There is a significant difference in loss between individuals who listen to music via earbuds and the general population.
Step 2: What is the alpha level, will you run a one-tail or two-tail test? Why? What is the t critical value? (One point) The alpha level is 0.05. We will run a two tailed test because the alternative hypothesis is not directional. The critical t-value is 2.262.
Step 3: Your data is already collected but obtain the test statistic! Begin by computing the estimated population variance. Population variance = 18.2. T obtained value = 1.5822.
Continue by computing the estimated standard error of the mean. Standard error of mean = 1.422. -
Finally, compute a t test. What is your obtained value? (One point). T obtained value = 1.5822.
Step 4: Make your decision: Do you reject, or fail to reject the null hypothesis? (One point). We fail to reject the null hypothesis.
QUESTION
Step 5: How would your study read in a scientific article?
In: Statistics and Probability
Create a message encoder/decoder.
PLEASE USE BASIC PYTHON METHODS/FUNCTIONS.
Please see the next page an example of the output.
In: Computer Science
Drosophila females heterozygous for three recessive mutations, a, b, and c were crossed to males homozygous for all three mutations. The cross yielded the following results.
Phenotype Number
A B C - 75
A B c - 348
A b c - 96
a B C - 110
a b C - 306
a b c - 65
Determine the gene order.
Determine the distance between genes .
Make a genetic map of the genes.
In: Biology
A study demonstrated "choice overload" by comparing sales between two jam sellers. One seller offered only three varieties. The other sellers offered these varieties plus a dozen more. The seller with only three varieties sold even more jam than the other. What consequence of rational choice does this experiment violate, which proves that a cognitive bias is influencing choices? Explain in at most two sentences.
In: Economics
List the factors which cause the difference between accounting profit and taxable profits.
In terms of accounting for taxation, what would be the consequence If a certain expense is taxed on cash rather accrual basis? Don’t write more than 6 lines.
Write the three reasons for recognizing deferred tax.
What are the three requirements for IAS 12 in terms of deferred tax liabilities? Don’t write more than 8 lines.
In: Accounting