You have estimated that the annual expected return on Apple stock is 15% and that Apple’s standard deviation is 20%. The Treasury bill rate is 1%. You are considering an asset allocation between T-bills and Apple stock and given your risk preferences and investment objectives, you seek to establish a portfolio with an expected return of 8%.

27. In relation to the problem above, what proportion of your portfolio should you allocate to Apple stock (rounding to the nearest whole percent)?

a. 20%

b. 40%

c. 50%

d. none of the above.

28. In relation to the problem above, what will be the variance on your portfolio?

(a) 0.01

(b) 0.04

(c) 0.08

(d) 0.1

(e) 0.15

Graphic rating scale is the evaluation of employees’ performance by comparing employees against certain “absolute” standards along a number of performance dimensions.

Question 26 options:

Question 27 (2.5 points)

If an applicant takes a test today and then retakes it a week from now, we expect the scores to be similar. This correlation between the scores means there is ______.

Question 27 options:

Question 28 (2.5 points)

Which of the following is an acceptable interview question?

Question 28 options:

Question 29 (2.5 points)

A company that places a high value on learning is also known as a(n) ______.

Question 29 options:

Question 30 (2.5 points)

Selection bias is the extent to which a selection method measures what it is supposed to measure and how well it does so.

Question 30 options:

I need the code in SAS and R and outputs please

2. The data below come from a study investigating a method of measuring body composition, and give the body fat percentage (% fat), age and sex for 18 adults aged between 23 and 61 years. Source: Mazess, R.B., Peppler, W.W., and Gibbons, M. (1984) Total body composition by dual-photon (153GD) absorptiometry. American Journal of Clinical Nutrition, 40, 834-839.

a Enter the data into SAS using a DATALINES statement in the DATA step. Use PROC PRINT to print the resulting data set. Report your output.

b Create a data frame in R for the body composition data (from part a). Print the data frame and report the output.

1. Imagine that you really love jelly beans and stock pile them after Easter every year.  The best variety is Brach’s Jelly Eggs which has seven varieties: Red, Pink, White, Black, Purple, Green, and Yellow.  In one bag, you find 32 Red, 27 Pink, 30 White, 12 Black, 25 Purple, 26 Green, and 27 Yellow.

   What is the probability that the first jelly bean you draw is pink?

QUESTION 2

1. Imagine that you really love jelly beans and stock pile them after Easter every year.  The best variety is Brach’s Jelly Eggs which has seven varieties: Red, Pink, White, Black, Purple, Green, and Yellow.  In one bag, you find 32 Red, 27 Pink, 30 White, 12 Black, 25 Purple, 26 Green, and 27 Yellow.

   Assume you eat the pink jelly bean from question 1. What is the chance of randomly selecting a yellow or purple jelly bean next?

QUESTION 3

1. Imagine that you really love jelly beans and stock pile them after Easter every year.  The best variety is Brach’s Jelly Eggs which has seven varieties: Red, Pink, White, Black, Purple, Green, and Yellow.  In one bag, you find 32 Red, 27 Pink, 30 White, 12 Black, 25 Purple, 26 Green, and 27 Yellow.

   You have now eaten one pink and one purple jelly bean. What is the probability of selecting anything other than a black jelly bean?  

QUESTION 4

1. Imagine that you really love jelly beans and stock pile them after Easter every year.  The best variety is Brach’s Jelly Eggs which has seven varieties: Red, Pink, White, Black, Purple, Green, and Yellow.  In one bag, you find 32 Red, 27 Pink, 30 White, 12 Black, 25 Purple, 26 Green, and 27 Yellow.

   Now you have eaten a pink, purple and green jelly bean. What is the probability that you select a white jelly bean followed by a red jelly bean?

The comparative balance sheets for 2018 and 2017 are given below for Surmise Company. Net income for 2018 was $74 million.

SURMISE COMPANY
Comparative Balance Sheets
December 31, 2018 and 2017
($ in millions)
2018 2017
Assets
Cash $ 27 $ 35
Accounts receivable 86 100
Less: Allowance for uncollectible accounts (19 ) (2 )
Prepaid expenses 15 13
Inventory 129 110
Long-term investment 116 80
Land 92 92
Buildings and equipment 377 255
Less: Accumulated depreciation (128 ) (102 )
Patent 22 23
$ 717 $ 604
Liabilities
Accounts payable $ 16 $ 36
Accrued liabilities 2 17
Notes payable 42 0
Lease liability 113 0
Bonds payable 61 123
Shareholders’ Equity
Common stock 66 50
Paid-in capital—excess of par 255 205
Retained earnings 162 173
$ 717 $ 604

Required:
Prepare the statement of cash flows of Surmise Company for the year ended December 31, 2018. Use the indirect method to present cash flows from operating activities because you do not have sufficient information to use the direct method. You will need to make reasonable assumptions concerning the reasons for changes in some account balances. A spreadsheet or T-account analysis will be helpful. (Hint: The right to use a building was acquired with a seven-year lease agreement. Annual lease payments of $9 million are paid at January 1 of each year starting in 2018.) (Enter your answers in millions (i.e., 10,000,000 should be entered as 10). Amounts to be deducted should be indicated with a minus sign.)

How much time do you spend talking on your phone per day? Initial post by Wednesday at 11:59 PM: Guess the number of minutes you think you spend talking on the phone each day. This is your null hypothesis. Posting from Thursday to Sunday, 11:59 PM: Secure the data from your phone for the past month and conduct a one sample hypothesis test of the mean length of your phone calls per day. Be sure to show all your work by using excel and include your data set. Please check out the video if you need help on using excel to find the mean and sample standard deviation. Video on using excel Use a significance level of 0.05. You will have 30 data values showing the total of minutes you spend per day. (The easiest way to secure this data is to look at your "Recent" calls on your phone and list the total number of minutes that you have spent on the phone each day in the last 30 days. This will be the data that you will use.)

My guess is 60 mins per day, below is the data to utilize........

I. Use the DNA sequence below, which encodes a prokaryotic gene to answer the following questions.

1 ATGAGGAGTT 11 GACACACAAG 21 AGGAGGTAGC 31 AGTATGGGTA 41 TAATCTAATG 51 CGTAATTGAG 61 GAGGTAGTTG 71 ACGTATGAAT 81 AGTTAACGTA 91 CGGGGGGGAA 101 ACCCCCCCTT 111 TTTTTTTTTC 121 GAGCAATAAA 131 AGGGTTACAG 141 ATTGCATGCT

b) What region of this prokaryotic DNA sequence will be transcribed into mRNA? Circle one. 1-131 71-119 74-149 54-119

c) What will the sequence be for the protein translated from this mRNA?

d) Where is the 3’UTR? Circle one. 9-131 41-119 81-141 87-119

II. Use the DNA sequence below, which encodes a eukaryotic gene to answer the following questions.

1 GGCGTATAAA 11 GCGACGACTG 21 TAGACTGATG 31 AGCCTATCCA 41 TGGACGCGCC 51 ATGGCCCTGT 61 AAGCGGTGCG 71 ATGCAATAAA 81 ACGCGTATCA 91 GTCATTCAGC 101 GTAGTCTGAT 111 GCCAGTCGAC 121 TGC

a) Write down the corresponding sequences, find them in the sequence above and label them:

TATA box sequence: _________________ (label as TATA)

Polyadenylation signal in corresponding mRNA: ____________ (label as Poly-A)

Kozak’ssequence in corresponding mRNA: ________________ (label as Kozak)

Start (initiation) codon in corresponding mRNA: _______ (label as start)

Stop (termination) codon in corresponding mRNA: _______ (label as stop)

b) What region of the mRNA contains the open reading frame that will be translated into protein? 41-101 27-35 51-59 71-77

c) Where is the 3’UTR? Circle one. 59-101 51-123 63-101 71-81  

Using the data down and interpret 95% confidence intervals for the mean age of an American truck driver.   This data represents a random sample of drivers in America. There are about 3.5 million truck drivers in the USA.

Find:1- Sample Standard Deviation. 2- Sample Mean. 3- Sample size. 4- Standard error of the mean. 5-T-value. 6- Interval half-width. 7-Interval lower limit. 8- Interval upper limit  .

Please use this data.

. Wal-Mart’s Foreign Expansion Wal-Mart, the world’s largest retailer, has built its success on a strategy of everyday low prices, and highly efficient operations, logistics, and information systems that keeps inventory to a minimum and ensures against both overstocking and understocking. The company employs some 2.1 million people, operates 4,200 stores in the United States and 3,600 in the rest of the world, and generates sales of almost $400 billion (as of fiscal 2008). Approximately $91 billion of these sales were generated in 15 nations outside of the United States. Facing a slowdown in growth in the United States, Wal-Mart began its international expansion in the early 1990s when it entered Mexico, teaming up in a joint venture with Cifra, Mexico’s largest retailer, to open a series of supercenters that sell both groceries and general merchandise. Initially the retailer hit some headwinds in Mexico. It quickly discovered that shopping habits were different. Most people preferred to buy fresh produce at local stores, particularly items like meat, tortillas and pan dulce which didn’t keep well overnight (many Mexicans lacked large refrigerators). Many consumers also lacked cars, and did not buy in large volumes as consumers in the United States did. WalMart adjusted its strategy to meet the local conditions, hiring local managers who understood Mexican culture, letting those managers control merchandising strategy, building smaller stores that people could walk to, and offering more fresh produce. At the same time, the company believed that it could gradually change the shopping culture in Mexico, educating consumers by showing them the benefits of its American merchandising culture. After all, Wal-Mart’s managers reasoned, people once shopped at small stores in the United States, but starting in the 1950s they increasingly gravitated towards large stores like WalMart. As it built up its distribution systems in Mexico, Wal-Mart was able to lower its own costs, and it passed these on to Mexican consumers in the form of lower prices. The customization, persistence, and low prices paid off. Mexicans started to change their shopping habits. Today Wal-Mart is Mexico’s largest retailer and the country is widely considered to be the company’s most successful foreign venture. Next Wal-Mart expanded into a number of developed nations, including Britain, Germany and South Korea. There its experiences have been less successful. In all three countries it found itself going head to head against well-established local rivals who had nicely matched their offerings to local shopping habits and consumer preferences. Moreover, consumers in all three countries seemed to have a preference for higher quality merchandise and were not as attracted to Wal-Mart’s discount strategy as consumers in the United States and Mexico. After years of losses, Wal-Mart pulled out of Germany and South Korea in 2006. At the same time, it continued to look for retailing opportunities elsewhere, particularly in developing nations where it lacked strong local competitors, where it could gradually alter the shopping culture to its advantage, and where its low price strategy was appealing. Recently, the centerpiece of its international expansion efforts has been China. Wal-Mart opened its first store in China in 1996, but initially expanded very slowly, and by 2006 had only 66 stores. What Wal-Mart discovered, however, was that the Chinese were bargain hunters, and open to the low price strategy and wide selection offered at Wal-Mart stores. Indeed, in terms of their shopping habits, the emerging Chinese middle class seemed more like Americans than Europeans. But to succeed in China, Wal-Mart also found it had to adapt its merchandising and operations strategy to mesh with Chinese culture. One of the things that Wal-Mart has learned is that Chinese consumers insist that food must be freshly harvested, or even killed in front of them. Wal-Mart initially offended Chinese consumers by trying to sell them dead fish, as well as meat packed in Styrofoam and cellophane. Shoppers turned their noses up at what they saw as old merchandise. So Wal-Mart began to display the meat uncovered, installed fish tanks into which shoppers could plunge fishing nets to pull out their evening meal, and began selling live turtles for turtle soup. Sales soared. Wal-Mart has also learned that in China, success requires it to embrace unions. Whereas in the United States Wal-Mart has vigorously resisted unionization, it came to the realization that in China unions don’t bargain for labor contracts. Instead, they are an arm of the state, providing funding for the Communist Party and (in the government’s view) securing social order. In mid- 2006 Wal-Mart broke with its long standing antagonism to unions and agreed to allow unions in its Chinese stores. Many believe this set the stage for Wal-Mart’s most recent move, the purchase in December 2006 of a 35 percent stake in the Trust-Mart chain, which has 101 hypermarkets in 34 cities across China. Now Wal-Mart has proclaimed that China lies at the center of its growth strategy. By early 2009 Wal-Mart had some 243 stores in the country, and despite the global economic slowdown, the company insists that it will continue to open new stores in China at a “double digit rate.”

Case Discussion Questions

1. Do you think Wal-Mart could translate its merchandising strategy wholesale to another country and succeed? If not, why not?

2. Why do you think Wal-Mart was successful in Mexico?

3. Why do you think Wal-Mart failed in South Korea and Germany? What are the differences between these countries and Mexico?

4. What must Wal-Mart do to succeed in China? Is it on track?