Mary Jay, an American designer of luxury leather goods, had experienced growth by selling her goods in her own retail stores. As internet usage increased, Mary Jay did what many of her competitors did: she created a virtual online store on her company website. When the Canadian and US dollars were on par, many Canadian shoppers would purchase online through the US website since there were no retailers in Canada carrying Mary Jay goods. Eventually, Mary Jay opened her own retail stores in Canada after considering the risks and advantages of going global. She also created opportunities with major department stores to carry her goods under specific conditions.

1) How many channel levels did Mary Jay have? Explain each channel level.

2) Describe possible conflicts that can arise.

3) What is the most logical way to store and distribute product from the main warehouse in the US to the Canadian customer?

In many ways, studying at university is analogous to working in a matrix environment in an organization. Explain the analogy. In what ways does a university student experience the advantages and disadvantages of a matrix organizational structure? Can you suggest any ways to better manage the system in the university to overcome some of the disadvantages?

Chlo is planning for her 15 year-old daughter’s university education.  She estimates that 1 year of university would cost $15,000 in today’s dollars, but will rise with the rate of inflation of 2% year over year.  How much would Chlo need to have accumulated by the time her daughter starts university at the age of 19 provided she attends university for 3 years and will receive funds at the beginning of each year?  Assume an investment rate of 3.6%, compounded monthly

Shrieves Casting Company is considering adding a new line to its product mix, and the capital budgeting analysis is being conducted by Sidney Johnson, a recently graduated MBA. The cost of new machinery for the new product line would be $644,000. The machinery has economic life of eight years, and has no salvage value. Assume that depreciation is straight-line to zero over the life of the machine. The new line would generate incremental sales of 70,000 units per year at variable cost per unit of $21 and fixed cost of $725,000 per year. Each unit can be sold for $37 in the first year. The sale price and cost are both expected to remain the same. The firm’s tax rate is 35 percent, and the rate of return required for this type of investment is 15 percent. Calculate the base-case cash flow and NPV.

After graduating from Yorkville University with a BBA you are making a good salary and now want to begin investing. You are analyzing two Canadian Banks as investment options. Bank of Nova Scotia (BNS) and Bank of Montreal (BMO). The stock price of BNS is current $65. The price of BNS next year will be $53 if the economy is in a recession, $73 if the economy is normal, and $85 if the economy is expanding. The likelihood of recession, normal or expansion are 0.2, 0.6 and 0.2. respectively. BNS had suspended their dividend due to the pandemic crisis and has a beta of 0.68.   BMO has continued to pay its dividends and has an expected return of 13%, a standard deviation of 34%, a beta of 0.45, and a correlation with BNS of 0.48. The market portfolio has a standard deviation of 14%.
a) Assuming that the CAPM holds, what is the expected return and standard deviation of BNS?
After careful analysis you decide to invest 60% of your portfolio in BNS and 40% in BMO.
What are the ;
b) expected return
c) standard deviation
d) beta of this portfolio?

You receive a brochure from a large university. The brochure indicates that the mean class size for​ full-time faculty is fewer than 33 students. You want to test this claim. You randomly select 18 classes taught by​ full-time faculty and determine the class size of each. The results are shown in the table below. At alphaequals0.10​, can you support the​ university's claim? Complete parts​ (a) through​ (d) below. Assume the population is normally distributed. 38 29 27 35 35 37 26 22 29 25 32 36 34 30 29 33 26 26

​(a) Write the claim mathematically and identify Upper H 0 and Upper H Subscript a. Which of the following correctly states Upper H 0 and Upper H Subscript a​? A. Upper H 0​: muequals33 Upper H Subscript a​: munot equals33 B. Upper H 0​: mugreater than33 Upper H Subscript a​: muless than or equals33 C. Upper H 0​: mugreater than or equals33 Upper H Subscript a​: muless than33 D. Upper H 0​: muequals33 Upper H Subscript a​: muless than33 E. Upper H 0​: muless than33 Upper H Subscript a​: mugreater than or equals33 F. Upper H 0​: muless than or equals33 Upper H Subscript a​: mugreater than33

​(b) Use technology to find the​ P-value. Pequals nothing ​(Round to three decimal places as​ needed.) ​

(c) Decide whether to reject or fail to reject the null hypothesis. Which of the following is​ correct? A. Fail to reject Upper H 0 because the​ P-value is greater than the significance level. B. Reject Upper H 0 because the​ P-value is less than the significance level. C. Fail to reject Upper H 0 because the​ P-value is less than the significance level. D. Reject Upper H 0 because the​ P-value is greater than the significance level. ​

(d) Interpret the decision in the context of the original claim. A. At the 10​% level of​ significance, there is not sufficient evidence to support the claim that the mean class size for​ full-time faculty is more than 33 students. B. At the 10​% level of​ significance, there is sufficient evidence to support the claim that the mean class size for​ full-time faculty is fewer than 33 students. C. At the 10​% level of​ significance, there is sufficient evidence to support the claim that the mean class size for​ full-time faculty is more than 33 students. D. At the 10​% level of​ significance, there is not sufficient evidence to support the claim that the mean class size for​ full-time faculty is fewer than 33 students. Click to select your answer(s).

A NEW MOBILE “APP” FOR A MUSIC COMMUNITY

Following his graduation from an excellent university with a degree in music and entrepreneurship, Brian Wright was eager to launch a music-related business. Brian always enjoyed working with new technologies as well as listening to music. Because of the proliferation of social media sites on the Internet and the advances in mobile technologies with smartphones, he believed that developing an “app” for mobile phones that brings together a community of fans for their favorite music would be ideal. The development of mobile applications has become one of the largest industries of mobile technologies and hundreds of thousands of apps exist for mobile users in almost every category: games, lifestyle, social networking, education, business, etc. In the Apple App Store alone are more than 500,000 apps and counting; many are even free, but many others are not, which means mobile applications are truly a growing source of business.

Brian was confident that the success of the other open sourced communities and other mobile apps proved that there was a market for his idea; therefore, developing an app for personal music would be an easy concept for customers to grasp. Although music can be downloaded for free or for small fees, Brian knew that he and his friends preferred to listen to an particular music and then comment about it. Brian believed that any true fan of a particular brand of music would want to engage with other like-minded individuals. And, if it was available on a smartphone as an app, then the mobility issue would ensure its success.

When calculating potential revenue, Brian concluded that the best way to monetize the app would be through a reasonable purchase price and then have music related companies pay for ads that run within the app. Since he was creating new social community around music, this would certainly be an avenue for companies to advertise. As Brian began discussing his idea with his friends, their enthusiasm convinced him that he needed to act quickly before someone else seized the opportunity. At $2 per app purchase and an estimated four new community members per month, he would only need a little over 20,000 customers to reach $1,000,000 in annual revenue. After looking at his financial forecasts, Brian decided that it was time to bring his mobile music app to market.

QUESTIONS

1.      Has Brian completed the proper marketing research for this potential opportunity? Why or why not? Explain.

2.      Based on the case, are there key mistakes that you would caution Brian about? Explain.

3.      What specific steps would you recommend to Brian for him to better assess this opportunity?

The medical reports from the track team in university x showed that, over the last few years, its first-year athletes have had a resting heart rate of μ= 53 beats per minute, with σ= 10. What is the probability that this year the sample of freshman (n=25) have a mean heart rate of 57 or lower (M<=57)?

a. 2.28%

b. 34.5%

c. 97.7%

d. 65.6%

1. each Given the following data comes from the football program of a quaint university north of here that wears blue and yellow. Evaluate this data for linear regression:

1. Make a scatter plot
2. Which variable is the predictor or explanatory variable and which is the response variable?
3. Conduct a hypothesis test to determine if there is a significant linear correlation
   1. State your null and alternative hypothesis
   2. Justify rejecting or failing to reject the null at the .05 significance level.
4. Provide the equation
5. Determine r
6. What percent of the variation in points scored is accounted for by the regression equation?
7. Find the residual of 7 penalties.
8. Estimate the number of points scored if Quaint U is penalized 6 times in the game
9. Estimate the number of points scored if Quaint U is penalized 80 times in the game
10. Determine the 95% confidence interval for the slope coefficient
11. Sketch a plot of the standardized residuals on the vertical axis against y on the horizontal. Mark maximum and minimum values of the standardized residuals on y axis.

Suppose that salaries of recent graduates from a large state university are normally distributed with mean $45,000 and standard deviation $4,200. (1) What proportion of salaries are between $40,000 and $55,000? (2) What two salaries bound the middle 40%?