THIS QUESTION REQUIRES THE USE OF R STUDIO. ANY ANSWERS GIVEN THAT ARE NOT IN R STUDIO CODE WILL NOT SUFFICE. SOLVING WITHOUT THE USE OF R STUDIO IS NOT ACCEPTABLE.
The previous question was:
Annual salaries for a large company are approximately normally distributed with a mean of 49000 dollars and a standard deviation of 2000 dollars. One manager claims that all of his direct reports are paid "above the 75th percentile" for the company. What is the minimum dollar figure of employees working under this manager?
I used qnorm(o.75, 49000, 2000) to get an answer of $50,348.98 for the minimum dollar figure for employes under that manager.
The current question:
Part 1: Create a neat, annotated, complete normal density plot representing the second part of the above question with the primary x-axis set to X.
I am struggling with the code for this question.
Part 2: add a secondary x-axis to the plot from above, showing the Z values that correspond to the x-values of the first axis.
Please show all code to obtain results.
In: Statistics and Probability
Fill in all the underlined spots on the spreadsheet with the data about Absorbance of Light for different Nitrate Levels. The goals are: 1) to compute the correlation and slope of the regression line by using the "SS formulas" and 2) to compute SSE, the sum of the squared "errors" (residuals).
| Data from Exercise 2.69 (p. 97) | ||||||||
| The absorbance of Light for Different Nitrate Levels | ||||||||
| y - that | ||||||||
| Nitrates x (mg/liter of water) | Absorbance y | x^2 values | y^2 values | x*y values | y hat (predicted absorbances) | residuals/errors | squared residuals | |
| 50 | 7 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 50 | 7.5 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 100 | 12.8 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 200 | 24 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 400 | 47 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 800 | 93 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 1200 | 138 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 1600 | 183 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 2000 | 230 | _____ | _____ | _____ | _____ | _____ | _____ | |
| 2000 | 226 | _____ | _____ | _____ | _____ | _____ | _____ | |
| Sums | 8400 | 968.3 | _____ | _____ | _____ | SSE | _____ | |
| Means | 840 | 96.83 | ||||||
| Std Devs | 802.7037644 | 90.95273559 | ||||||
| Correlation | 0.999939232 | |||||||
| Coefficient of Determination | 0.999878467 | SSxx | _____ | |||||
| SSyy | _____ | |||||||
| Slope | 0.113301086 | SSxy | _____ | |||||
| Intercept | 1.657087429 | |||||||
| Correlation | _____ | |||||||
| Regression Equation | y = 0.1133x + 1.6571 | Slope | _____ | |||||
In: Statistics and Probability
Power Scru, LLC produce three different Models of power washer. A Limitation of 2000 machine hours associated with equipment necessary for making a key component of all three models of the power washers prevents Power Scrub from meeting the sales demand for all of its power washers. The Three are Economy Electric, Big Job Electric and a Commercial Gasoline Model
The Following information pertains to tower Scrubs three models of power washers
| Economy | Big Job | Commercial | |
| Units Selling Price | $140 | $220 | $400 |
| Units Variable Costs | $96 | $140 | $260 |
| Machine hours per Unit | 0.2 | 0.4 | 0.5 |
| Maximum annual Demand | 2000 Units | 5000 Units |
1. What is the Recommended Product Mix to Maximize profit in the Short Run ?
2. What is the total contribution Margin at the Product Mix your recommended ?
3. What strategic/Qualitative Factors should power scrub Consider in reaching their Decision ?
In: Accounting
Question 1
a) For the data in Homework 2, Question 1
|
Size (Xi) |
12 |
15 |
18 |
21 |
24 |
27 |
|
Price (Yi) |
60 |
85 |
75 |
105 |
120 |
110 |
a) calculate the ANOVA table. Use the ANOVA Table to conduct an F-Test to see if the model is significant (use α = 0.05)
b) Give a 95% confidence interval for the mean sale price for 2000 sq. ft. houses.
c) Give a 95% prediction interval for the sale price of an individual 2000 sq. ft. house.
d) For the data in Homework 2, Question 2 calculate the ANOVA table for the data. Use the ANOVA Table to conduct an F-Test to see if the model is significant (use α = 0.05) (data provided below)
|
dollars |
satisfaction |
|
11 |
6 |
|
18 |
8 |
|
17 |
10 |
|
15 |
4 |
|
9 |
9 |
|
5 |
6 |
|
12 |
3 |
|
19 |
5 |
|
22 |
2 |
|
25 |
10 |
Thank you so much! Just want to check my answers.
In: Statistics and Probability
|
Personnel Cost |
Fuel Cost |
Maintenance Cost |
|
|
WT88 |
2000 |
1000 |
2000 |
|
BH54 |
2500 |
1500 |
1000 |
**** SHOW STEPS DONE THROUGH EXCEL PLEASE*****
Radiant has $200,000 to spend in personnel cost, $160,00 in fuel cost, and $80,000 in maintenance cost. Moreover, they have to hire at least one of each type of planes. If WT88 can carry 45 tons of goods and BH54 can carry 65 tons of goods then find out the following:
****SHOW STEPS THROUGH EXCEL PLEASE FOR A and B***
In: Operations Management
Suppose a hypothetical oil market consists of two oil producers Jack & Jill. Suppose the marginal cost of pumping oil is equal to zero, while the demand for oil is described by the following schedule.
Quantity Price Total Revenue (and total profit)
0 gallons $120 $ 0
10 110 1100
20 100 2000
30 90 2700
40 80 3200
50 70 3500
60 60 3600
70 50 3500
80 40 3200
90 30 2700
100 20 2000
110 10 1100
120 0 0
a. What would be the equilibrium outcome (price and quantity) if the markets were either competitive or monopolistic?
b. If both Jack & Jill form a collusion, what quantity and price would they try to set?
c. If both the duopolists don’t act together but instead make production decisions independently, what quantity would they produce and price they would set?
d. Explain and give reasons for your answers.
In: Economics
(1) Given the following information what is the percentage change in the price of the bonds if interest rates suddenly rise by 4%?
|
Wing Air Inc. |
|
|
Coupon rate |
7% |
|
Settlement date |
1/1/2000 |
|
Maturity date |
1/1/2002 |
|
Face value |
1,000 |
|
# of coupons per year |
2 |
|
Airfoil, Inc. |
|
|
Coupon rate |
7% |
|
Settlement date |
1/1/2000 |
|
Maturity date |
1/1/2015 |
|
Face value |
1,000 |
|
# of coupons per year |
2 |
|
Change in interest rate |
4% |
(A) Wing Air -7.01%, Airfoil -29.07%
(B) Wing Air -7.0%, Airfoil -29.22%
(C) Wing Air 7.71%, Airfoil 48.03%
(D) Wing Air -12.27%, Airfoil -50.87%
Cavu Air Inc., issued 15 Year bonds 2 years ago at a coupon rate of 5.50% percent. The bonds make semi annual payments. If these bonds currently sell for 104 percent of par value, what is the YTM?
|
Settlement date |
1/1/2000 |
|
Maturity date |
1/1/2013 |
|
Annual coupon rate |
5.50% |
|
Coupons per year |
2 |
|
Face value (% of par) |
100 |
|
Bond price (% of par) |
104 |
(A) 5.29%
(B) 5.71%
(C) 5.08%
(D) 5.50%
Contrail Air Inc. Just paid a dividend of $2.00 per share on its stock. The dividends are expected to grow at a constant rate of 4% percent per year, indefinitely. If investors require a return of 12% percent, what is the current price?
|
Dividend paid |
$2.00 |
|
Dividend growth rate |
4% |
|
Required return |
12% |
|
Requested year |
0 |
(A) 24.04
(B) (26.00)
(C) 26.00
(D) 24.00
In: Finance
Q3. (This question is based in R)
Now use the simulation ("X = rnorm(1000, mean = 10, sd = 2)", "Y = rnorm(1000, mean = 5, sd = 3)") to estimate the distribution of X+Y and create confidence intervals.
A) Form a set of Xs and Ys by repeating the individual experiment for B = 2000 times, where each experiment has n = 1000 samples. You may want to write a for loop and create two matrices "sample_X" and "sample_Y" to save those values.
B) Calculate the mean of X+Y for each experiment and save it to a vector which has a length of B, and plot a histogram of these means.
C) Now as we have a simulated sampling distribution of X+Y, calculate the 95% confidence interval for mean of X+Y (this can be done empirically).
D) In the above example, we have fixed the sample size n and number of experiments B. Next, we want to change B and n, and see how the confidence interval will change. Please write a function to create confidence intervals for any B and n.
E) Suppose the sample size n varies (100, 200, 300, .... , 1000) (fix B=2000) and the number of experiments B varies (1000, 2000, ... , 10000) (fix n=500). Plot your confidence intervals to compare the effect of changing the sample size n and changing the number of simulation replications B. What do you conclude? (Hint: Check function errbar() in Hmisc package for plot - library(Hmisc))
fix n, B varies
fix B, n variesIn: Statistics and Probability
In: Economics
The town of Cypress Creek is preparing to go to war against the American government. To do this, it is building a giant satellite laser! To build the laser, the government of the town will resort to taxation to fund its expenditure. The initial economy of Cypress Creek can be expressed by the following agents:
Consumers, C = 25 + 0.95(Y-T)
Output, Y = 5000
Government expenditures, G = 2000
Taxation, T = 2000
Investors, I = 750-125r
Markets are fully competitive and the equilibrium condition for markets are:
Goods and service market: Y =C + I + G
Financial market: I = S
When it builds the Satellite, government and taxation change to
Government expenditures, G = 4000
Taxation, T = 4000
Hank Scorpio, the towns' founder, announces that "even by increasing government spending and taxation, we are not worst off, as production has not changed!"
Hank Scorpio makes another announcement "People of North Haverbrook! We must all work together in this to crush the American Government - I implore you to save you wages! Don't spend!"
In: Economics