Possible outcomes for three investment alternatives and their probabilities of occurrence are given next.       
  

      
Using the coefficient of variation, rank the three alternatives in terms of risk from lowest to highest. (Do not round intermediate calculations. Round your answers to 3 decimal places.)     
  

We need to find the confidence interval for the SLEEP variable. To do this, we need to find the mean and standard deviation with the Week 1 spreadsheet. Then we can the Week 5 spreadsheet to find the confidence interval.

First, find the mean and standard deviation by copying the SLEEP variable and pasting it into the Week 1 spreadsheet. Write down the mean and the sample standard deviation as well as the count. Open the Week 5 spreadsheet and type in the values needed in the green cells at the top. The confidence interval is shown in the yellow cells as the lower limit and the upper limit.

1. Give and interpret the 95% confidence interval for the hours of sleep a student gets. Change the confidence level to 99% to find the 99% confidence interval for the SLEEP variable.

2. Give and interpret the 99% confidence interval for the hours of sleep a student gets.

3. Compare the 95% and 99% confidence intervals for the hours of sleep a student gets. Explain the difference between these intervals and why this difference occurs.

In the Week 2 Lab, you found the mean and the standard deviation for the HEIGHT variable for both males and females. Use those values for follow these directions to calculate the numbers again.

(From Week 2 Lab: Calculate descriptive statistics for the variable Height by Gender. Click on Insert and then Pivot Table. Click in the top box and select all the data (including labels) from Height through Gender. Also click on “new worksheet” and then OK. On the right of the new sheet, click on Height and Gender, making sure that Gender is in the Rows box and Height is in the Values box. Click on the down arrow next to Height in the Values box and select Value Field Settings. In the pop up box, click Average then OK. Write these down.

Then click on the down arrow next to Height in the Values box again and select Value Field Settings. In the pop up box, click on StdDev then OK. Write these values down.)

You will also need the number of males and the number of females in the dataset. You can either use the same pivot table created above by selecting Count in the Value Field Settings, or you can actually count in the dataset. Then use the Week 5 spreadsheet to calculate the following confidence intervals. The male confidence interval would be one calculation in the spreadsheet and the females would be a second calculation.

4. Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

5. Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

6. Find the mean and standard deviation of the DRIVE variable by copying that variable into the Week 1 spreadsheet. Use the Week 4 spreadsheet to determine the percentage of data points from that data set that we would expect to be less than 40. To find the actual percentage in the dataset, sort the DRIVE variable and count how many of the data points are less than 40 out of the total 35 data points. That is the actual percentage. How does this compare with your prediction? Mean ______________ Standard deviation ____________________ Predicted percentage ______________________________ Actual percentage _____________________________ Comparison ___________________________________________________ ______________________________________________________________

7. What percentage of data would you predict would be between 40 and 70 and what percentage would you predict would be more than 70 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 40 and 70 as well as for more than 70. Now determine the percentage of data points in the dataset that fall within this range, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 40 and 70 ______________________________ Actual percentage _____________________________________________ Predicted percentage more than 70 miles ________________________________ Actual percentage ___________________________________________ Comparison ____________________________________________________ _______________________________________________________________ Why? __________________________________________________________ ________________________________________________________________

13. Consider the following game between two early settlers in the United States:
    

1. Which player has dominant strategy?

What is (are) equilibrium outcome(s) of the game?                                                        

Suppose that demand is given by P = 130 ? Q and marginal cost equals 10. Firms are Cournot competitors and play a supergame. The collusive agreement being considered is for each to produce half of the monopoly output. What is the critical discount factor to sustain collusion using grim punishment strategies if detection of deviation requires two periods?

LaChutCorporation has found that 80​% of its sales in any given month are credit​ sales, while the remainder are cash sales. Of the credit​ sales, LaChut Corporation has experienced the following collection​ pattern:

November sales for last year were $90,000​,

while December sales were $125,000.

Projected sales for the next three months are as​ follows:

Requirement

Prepare a cash collections budget for the first​ quarter, January-March, with a column for each month and for the quarter. ​(Round your answers to the nearest whole​ dollar.)

Suppose there are only two laptop producers: Dell and Lenovo. Fundamental assumptions of supply and demand are that quantity demanded decreases when price increases while quantity supplied increases when price increases. Therefore, the demand curve has a negative slope and the supply curve has a positive slope. Let the Dell and Lenovo laptops be perfect substitutes for each other, meaning that whenever the price of a Dell laptop increases the demand for laptops made by Lenovo increases and vice-versa. Assume that both types of computers are normal goods. Initially, markets for both types of laptops are in equilibrium. In each of the following questions describe the change to the demand and the supply (this could be a demand shift, a supply shift, a change in the quantity demanded, and/or a change in the quantity supplied) for both types of laptops and explain how the equilibrium prices and quantities change compared to the initial equilibrium prices and quantities for these two types of laptops. Assume that before every change in the scenario the market price and quantity in both markets returns to equilibrium.

a) One of the Lenovo’s factories that makes 40% of their laptops was damaged by an earthquake and has to be closed for 6 months to repair the damage. As a consequence of this earthquake, many people lost their jobs in the Lenovo factory.

b) News spread out that Dell used cheap chips inside of their laptops and those chips are dangerous for people’s health. Consequently, consumers are now more willing to buy Lenovo laptops.

c) Dell has to change one of their input suppliers to a more expensive one because of a disagreement with their initial supplier of inputs. This change in input suppliers raises the cost of producing a Dell laptop.

d) For this question, consider only the market for Lenovo laptops. A new study ordered by the government finds that the adverse effect from laptop radiation is not nearly as harmful as from other electronic devices, so people are now willing to buy more laptops. The government wishing to cover the cost of the study has assessed a new tax on laptop producers that will cover the cost of the study.

e) Assume that Dell laptops are an inferior good and that Lenovo laptops are a normal good. Also, do not forget that consumers are indifferent between buying any of the two laptops, i.e. the two different brands of laptops are perfect substitutes for one another. Suppose the production costs for Lenovo as well as Dell laptops have increased. At the same time, the wealth of all consumers in these markets have increased. How will the equilibrium in both markets change?

There are two variables in this data set.

Variable Definition

Height Height in inches

Weight Weight in pounds

Using Excel, compute the standard deviation and variance (both biased and unbiased) for height and weight.

In python I want to create a singular function that takes two parameters 'head; and 'skip'.

Head is a linked list. Skip is a non negative value. If skip is zero it should return head unchanged. The skip amount determines the amount to skip over. I want to change the linked list accordingly.

If you have a linked list 11 -> 12 -> 18 -> 20 -> 24 -> 32 -> 38 -> 44

and skip =2, then you should return the following:

18 -> 32

If skip = 1, then you should return the following:

12 -> 20 -> 32 -> 44

McGilla Golf has decided to sell a new line of golf clubs. The clubs will sell for $735 per set and have a variable cost of $365 per set. The company has spent $155,000 for a marketing study that determined the company will sell 75,500 sets per year for seven years. The marketing study also determined that the company will lose sales of 9,000 sets per year of its high-priced clubs. The high-priced clubs sell at $1,250 and have variable costs of $590. The company will also increase sales of its cheap clubs by 11,500 sets per year. The cheap clubs sell for $345 and have variable costs of $130 per set. The fixed costs each year will be $11,250,000. The company has also spent $1,050,000 on research and development for the new clubs. The plant and equipment required will cost $24,850,000 and will be depreciated on a straight-line basis. The new clubs will also require an increase in net working capital of $1,550,000 that will be returned at the end of the project. The tax rate is 40 percent, and the cost of capital is 14 percent. Find NPV, PI, and payback period. Perform sensitivity and scenario analysis for this project

1. Explain four reasons why an organization may choose to develop cafeteria benefits plan for its employees. 2. Describe two issues that employers have to consider while providing domestic partner benefits? 3. Describe the three goals of voluntary protection programs (VPPs). 4. Explain the two roles of the supervisor in creating a safe work environment. 5. What seven steps would you recommend employers to deter terrorist attacks?