Daneen has borrowed $6000 from her bank to buy a new machine for her business. She has promised to make payments of $2000 after two years, $2500 after three years, and a final payment after five years. What is the size of the last payment, if interest is 8% compounded semiannually? show caculation by BAII plus CAlculator.You are encouraged to draw the timelines for yourself to help you with setting up the logic of how to solve the problem.
In: Finance
Use a 5% significance level.
In a large city, 200 persons were selected at random and each person was asked how many tickets he purchased that week in the state lottery. The results are given in the following table. Suppose that among the 7 persons who had purchased five or more tickets, 3 persons had purchased exactly five tickets, 2 persons had purchased six tickets, 1 had purchased seven tickets, and 1 had purchased ten tickets. Test the hypothesis that these 200 observations form a random sample from a Poisson distribution.
| Number of tickets previously purchased | Number of Persons |
| 0 | 52 |
| 1 | 60 |
| 2 | 55 |
| 3 | 18 |
| 4 | 8 |
| 5 or more | 7 |
In: Statistics and Probability
A construction company employing 288 people experienced the following safety record for the year:
Assuming an overtime rate of 22%, calculate:
TYPE EVERY THING PLEASE. SO I CAN COPY
In: Accounting
The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.
Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:
| Let Dj = | annual demand for item j |
| Cj = | unit cost of item j |
| Sj = | cost per order placed for item j |
| i = | inventory carrying charge as a percentage of the cost per unit |
| W = | the maximum amount of space available for all goods |
| wj = | space required for item j |
The decision variables are Qj, the amount of item j to order. The model is:
In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (Dj/Qj is the number of orders), and the last term is the annual inventory holding cost (Qj/2 is the average amount of inventory).
Set up a spreadsheet model for the following data:
| Item 1 | Item 2 | Item 3 | |
| Annual Demand | 2,000 | 2,000 | 1,500 |
| Item Cost ($) | 100 | 50 | 80 |
| Order Cost ($) | 150 | 135 | 125 |
| Space Required (sq. feet) | 50 | 25 | 40 |
W = 5,000
i = 0.2
Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.
If required, round your answers to two decimal places.
Optimal Solution:
Q1 = _______
Q2 = _______
Q3 = _______
If required, round your answer to the nearest dollar. Do not round intermediate calculations.
Total cost = $________
In: Economics
The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.
Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:
| Let Dj = | annual demand for item j |
| Cj = | unit cost of item j |
| Sj = | cost per order placed for item j |
| i = | inventory carrying charge as a percentage of the cost per unit |
| W = | the maximum amount of space available for all goods |
| wj = | space required for item j |
The decision variables are Qj, the amount of item j to order. The model is:
In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (Dj/Qj is the number of orders), and the last term is the annual inventory holding cost (Qj/2 is the average amount of inventory).
Set up a spreadsheet model for the following data:
| Item 1 | Item 2 | Item 3 | |
| Annual Demand | 2,500 | 2,500 | 1,500 |
| Item Cost ($) | 100 | 50 | 80 |
| Order Cost ($) | 165 | 145 | 125 |
| Space Required (sq. feet) | 50 | 25 | 40 |
W = $21,000
i = 0.3
Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.
If required, round your answers to two decimal places.
Optimal Solution:
Q1 =
Q2 =
Q3 =
If required, round your answer to the nearest dollar. Do not round intermediate calculations.
Total cost = $
In: Operations Management
The Economic Order Quantity (EOQ) model is a classical model used for controlling inventory and satisfying demand. Costs included in the model are holding cost per unit, ordering cost and the cost of goods ordered. The assumptions for that model are that only a single item is considered, that the entire quantity ordered arrives at one time, that the demand for the item is constant over time, and that no shortages are allowed.
Suppose we relax the first assumption and allow for multiple items that are independent except for a restriction on the amount of space available to store the products. The following model describes this situation:
| Let Dj = | annual demand for item j |
| Cj = | unit cost of item j |
| Sj = | cost per order placed for item j |
| i = | inventory carrying charge as a percentage of the cost per unit |
| W = | the maximum amount of space available for all goods |
| wj = | space required for item j |
The decision variables are Qj, the amount of item j to order. The model is:
In the objective function, the first term is the annual cost of goods, the second is the annual ordering cost (Dj/Qj is the number of orders), and the last term is the annual inventory holding cost (Qj/2 is the average amount of inventory).
Set up a spreadsheet model for the following data:
| Item 1 | Item 2 | Item 3 | |
| Annual Demand | 2,500 | 2,500 | 1,500 |
| Item Cost ($) | 100 | 50 | 80 |
| Order Cost ($) | 165 | 145 | 125 |
| Space Required (sq. feet) | 50 | 25 | 40 |
W = $21,000
i = 0.3
Solve the problem using Excel Solver. Hint: You will need to start with decision variable values that are greater than 0 for Solver to find a solution.
If required, round your answers to two decimal places.
Optimal Solution:
Q1 =
Q2 =
Q3 =
If required, round your answer to the nearest dollar. Do not round intermediate calculations.
Total cost = $
In: Operations Management
Do you notice any potential outliers? If so, what values are
they? Show your work in how you used the potential outlier formula
to determine whether or not the values might be outliers.
Construct a box plot displaying your data.
Does the middle 50% of the data appear to be concentrated together
or spread apart? Explain how you determined this.
Looking at both the histogram and the box plot, discuss the
distribution of your data.
| # of pencils | Frequency | Culumative Frequency | Relative Frequency | Cumulative Relative Frequency |
| 0 | 5 | 5 | 0.125 | 0.125 |
| 1 | 14 | 19 | 0.35 | 0.475 |
| 2 | 10 | 29 | 0.25 | 0.725 |
| 3 | 7 | 36 | 0.175 | 0.90 |
| 4 | 1 | 37 | 0.025 | 0.925 |
| 5 | 0 | 37 | 0 | 0.925 |
| 6 | 0 | 37 | 0 | 0.925 |
| 7 | 1 | 38 | 0.025 | 0.95 |
| 8 | 1 | 39 | 0.025 | 0.975 |
| 9 | 0 | 39 | 0 | 0.975 |
| 10 | 1 | 40 | 0.025 | 1 |
In: Statistics and Probability
1.) Suppose we have the following values for a dependent variable, Y, and three independent variables, X1, X2, and X3. The variable X3 is a dummy variable where 1 = male and 2 = female:X
| X1 | X2 | X3 | Y |
| 0 | 40 | 1 | 30 |
| 0 | 50 | 0 | 10 |
| 2 | 20 | 0 | 40 |
| 2 | 50 | 1 | 50 |
| 4 | 90 | 0 | 60 |
| 4 | 60 | 0 | 70 |
| 4 | 70 | 1 | 80 |
| 4 | 40 | 1 | 90 |
| 6 | 40 | 0 | 70 |
| 6 | 50 | 1 | 90 |
| 8 | 80 | 1 | 100 |
| 9 | 90 | 0 | 80 |
| 9 | 20 | 1 | 150 |
a.) Run the multiple regression in Excel and provide the resulting multiple regression equation.
b.) Provide the R-Square measure. Is this a good regression model? Explain. Use a level of significance of 0.05 in any tests you consider.
c.) Which variables are important in explaining Y when the level of significance is 0.05? Is the dummy variable important at this level of significance? Discuss what coefficients mean regarding the effect of each variable on Y.
d.) Suppose a female with X1= 5 and X2= 80 is selected. What would be her predicted value of Y?
e.) What types of problems might exist in this multiple regression?
In: Statistics and Probability
((by C++ ))Write a program that will reverse the content of a Queue using the following standard queue operations.
For reversing the queue one approach could be to store the elements of the queue in a temporary data structure in a manner such that if we re-insert the elements in the queue they would get inserted in reverse order. So now our task is to choose such data-structure which can serve the purpose. According to the approach, the data-structure should have the property of ‘LIFO’ as the last element to be inserted in the data structure should be the first element of the reversed queue. Using the new data structure to store the elements of the queue temporarily should:
Input Format
The program should accept N series of integer values where 1 < N < 10 separated by a space and stored in a queue. If the input N integer exceeds the allowed number of input the program should display an error message.
Example Input
|
Enter N Integer values: 1 2 3 4 5 6 7 8 9 10 |
Output Format
The program should display the reverser order of the queue elements in a single line separated by a space. (Note: that only queue standards operations can be used to display the queue elements).
Example Output
|
Reverse Queue: 10 9 8 7 6 5 4 3 2 1 |
In: Computer Science
Problem 19-12 EPS; nonconvertible preferred stock; treasury shares; shares sold; stock dividend; options [LO19-4, 19-5, 19-6, 19-7, 19-8, 19-10]
On December 31, 2017, Dow Steel Corporation had 600,000 shares
of common stock and 300,000 shares of 8%, noncumulative,
nonconvertible preferred stock issued and outstanding. Dow issued a
4% common stock dividend on May 15 and paid cash dividends of
$400,000 and $75,000 to common and preferred shareholders,
respectively, on December 15, 2018.
On February 28, 2018, Dow sold 60,000 common shares. In keeping
with its long-term share repurchase plan, 2,000 shares were retired
on July 1. Dow's net income for the year ended December 31, 2018,
was $2,100,000. The income tax rate is 40%.
As part of an incentive compensation plan, Dow granted incentive
stock options to division managers at December 31 of the current
and each of the previous two years. Each option permits its holder
to buy one share of common stock at an exercise price equal to
market value at the date of grant and can be exercised one year
from that date. Information concerning the number of options
granted and common share prices follows:
| Date Granted | Options Granted | Share Price | ||||
| (adjusted for the stock dividend) | ||||||
| December 31, 2016 | 8,000 | $ | 24 | |||
| December 31, 2017 | 3,000 | $ | 33 | |||
| December 31, 2018 | 6,500 | $ | 32 | |||
The market price of the common stock averaged $32 per share during
2018.
Required:
Compute Dow's earnings per share for the year ended December 31,
2018. (Enter your answers in thousands.)
In: Accounting