Questions
A study by Lefèvre et al. (2010, PLoSONE 5: e9546) investigated whether alcohol consumption affected peoples'...

A study by Lefèvre et al. (2010, PLoSONE 5: e9546) investigated whether alcohol consumption affected peoples' attractiveness to the mosquito, Anopheles gambiae, which is the primary vector for malaria in Africa. A total of 43 human participants were tested, and the attractiveness of each participant was tested twice. The first test collected a baseline attractiveness for each participant. The participants then drank either a liter of beer (n=25 participants) or a liter of water (n=18), and after 15 minutes, the test was repeated. The type of drink was randomly determined for each subject.

To estimate a person's attractiveness to A. gambiae, a vial of 50 mosquitos was released into the Y-tube apparatus shown in Figure 1. Participants were seated in a small tent, which was connected by an air hose to one of two mosquito traps. This allowed the mosquitos to detect and respond to olfactory cues from the participants, without exposing the participants to the mosquitos. The proportion of mosquitos that flew toward the participant was recorded as the response variable.

You can find the Lefèvre data on the website in the file lefevre_2010_mosquitos_and_beer.csv. Each row in in the data represents a single participant. The first column is an id code. The second column is a factor that indicates the subject’s treatment-level for drink (beer vs. water). The third column gives the proportion of mosquitos that flew in the participants' direction in the baseline measurement, and the fourth column gives the proportion after drinking. Column five is the change from baseline after drinking (i.e., afterDrink – beforeDrink).

I

In the following questions, we will use two different strategies to analyze the data. In Question 2, we will conduct two completely separate tests that compare attractiveness before drinking a beverage to attractiveness after drinking a beverage, and then compare the result that we get with water to the result with beer (if it helps, imagine two different research groups test the same question, but one uses water and one uses beer; afterward, they meet up and compare notes). In the second strategy (Question 4), we will directly analyze the difference in average change from baseline for beer versus water. One of these strategies is a much better approach to use in real life. Which one is better, and why?

In: Statistics and Probability

In August 2010, Massachusetts enacted a 150-day right-to-cure period that mandates that lenders give homeowners who...

In August 2010, Massachusetts enacted a 150-day right-to-cure period that mandates that lenders give homeowners who fall behind on their mortgage an extra five months to become current before beginning foreclosure proceedings. Policymakers claimed that the policy would result in a higher proportion of delinquent borrowers becoming current on their mortgages. To test this claim, researchers took a sample of 244 homeowners in danger of foreclosure in the time period surrounding the enactment of this law. Of the 100 who fell behind just before the law was enacted, 30 were able to avoid foreclosure, and of 144 who fell behind just after the law was enacted, 48 were able to avoid foreclosure. Let p1 and p2 represent the proportion of delinquent borrowers who avoid foreclosure just before and just after the right-to-cure law is enacted, respectively. Assuming α = 0.10, does the evidence support the policymakers' claim?

Group of answer choices

Yes, because the test statistic value is greater than the critical value.

No, because the p-value is greater than the significance level.

Yes, because the p-value is less than the critical value.

No, because the test statistic value is less than the critical value.

In: Statistics and Probability

1. In 2010, LinkedIn reported trade payable obligations totaling $10.8 million in other accrued expenses within...

1. In 2010, LinkedIn reported trade payable obligations totaling $10.8 million in other accrued expenses within accrued liabilities instead of accounts payable. In 2011, note 2 in the 10-K financial statements described the use of accrued liabilities instead of accounts payable as a classification. Do you believe LinkedIn’s accounting qualifies as a financial shenanigan?

2. Tineseltown Construction just received a $2 billion contract to construct a modern football stadium in the City of Industry, located in southern California, for a new National Football League (NFL) team called the Los Angeles Devils of Industry. The company estimates that it will cost $1.5 billion to construct the stadium. Explain how Tineseltown can make revenue recognition decisions each year that enable it to manage earnings over the three-year duration of the contract.

In: Accounting

Case 4: New Retail Strategy September 2010: American retailers are cutting expenses to maintain stable profits...

Case 4: New Retail Strategy September 2010: American retailers are cutting expenses to maintain stable profits through what is increasingly looking like another challenging holiday season. Approaching the 2010 holiday season, stores are looking for ways to maintain profit margins. Wal-Mart Stores Inc. reported a 3.6 percent gain in second-quarter earnings on August 17, 2010 and raised its annual profit forecast, despite notching negative sales at U.S. stores open at least a year for the fifth consecutive quarter. Home Depot Inc. reported a 6.8 percent quarterly profit jump despite a moderate same-store sales boost of 1.7 percent, and also raised its full-year profit forecast, even as it lowered annual revenue projections. How can you increase earnings with tighter revenue? By reducing costs. Wal-Mart is cutting advertising budgets and resuming its traditional “everyday low prices” strategy after aggressive temporary “rollback” price cuts failed to stimulate new sales. The top retail chains are adapting to the prolonged economic slowdown by reducing employee work hours, maintaining thin inventories, and squeezing costs out of supply chains. Although retail executives have been planning conservatively for months, many had expected the economy to show signs of improvement by this point. Abercrombie & Fitch Co. plans to close 60 of its 1,098 stores this year and 50 next year. The teen retailer reported a 5 percent jump in quarterly same-store sales, but noted that average prices fell 15 percent as stores wage price wars to wrest a bigger share of back-to-school budgets. Urban Outfitters Inc., the apparel company for twenty-somethings that also operates Anthropologie and Free People, voiced similar cautions. Saks Inc. said Tuesday it was closing luxury department stores in Plano, Texas, and Mission Viejo, California, after reporting a quarterly loss of $32.2 million.

Why don’t the stores raise prices to increase demand?

What cost is Abercrombie cutting?

Why would stores wage price wars in a declining economy? Is cost cutting in a recession a good strategy? Explain.

What does it mean when a recovery takes place?

In: Economics

Starting in May 2010, the PRM‐PMI measures short‐run business conditions in Puerto Rico’s manufacturing sector, and...

Starting in May 2010, the PRM‐PMI measures short‐run business conditions in Puerto Rico’s manufacturing sector, and provides a broad‐based metric for the productive side of Puerto Rico’s economy. The participants include manufacturing establishments with 50 or more employees with membership in the Puerto Rico Manufacturers Association. Currently, results are presented on a Non-Seasonally Adjusted (NSA) basis. In the future, with sufficient data points, a seasonally adjusted version of the PRM‐PMI will be prepared, which will smooth away the influence of seasonal fluctuations. The PRM-PMI is calculated as the simple average of 5 sub‐indexes, representing different business conditions in manufacturing establishments: New Orders PMI, Production PMI, Employment PMI, Supplier Deliveries PMI, Own Inventories PMI. The sub‐indexes are computed using a diffusion index methodology. In specific, for any given month with respect to the previous month, participants are asked to answer whether the business condition of the establishment: (1) improved, (2) remained the same, or (3) deteriorated. Diffusion indexes are calculated as the percentage of responses that indicate the business condition improved plus half of the percentage of responses that indicate the business condition remained the same.

Use the following data to Calculate using excel the regression statistics: Multiple R, R Square, Adjusted R Square, Standard Error, ANOVA, T Stat and P Value

Date PMI General New Orders Production Employment Suppliers Delivery Own inventories Clients inventories Prices paid Backlogs Export orders
1/1/2018 58.5 55 62.5 57.5 57.5 60 55 40 62.5 37.5 50
12/1/2017 53.6 48 48 56 52 70 42 20 60 54 52
11/1/2017 53.5 50 52.5 65 47.5 55 47.5 22.5 62.5 52.5 47.5
10/1/2017 48.1 28.1 40.6 25 40.6 87.5 46.9 15.6 68.8 62.5 40.6
9/1/2017 33.1 12.5 25 9.4 31.2 62.5 37.5 25 50 46.9 34.4
8/1/2017 53.8 59.4 62.5 62.5 53.1 53.1 37.5 37.5 56.2 34.4 62.5
7/1/2017 45.8 42.3 40.4 44.2 48.1 44.2 51.9 36.5 50 21.2 32.7
6/1/2017 43.6 40.4 36 44 44 50 44 38 48 32 28
5/1/2017 48.6 48.2 51.7 53.4 48.3 50 39.7 39.7 50 27.6 44.8
4/1/2017 39.3 25.9 25.9 31.5 37 57.4 44.4 27.8 57.4 27.8 37
3/1/2017 47.9 47.9 52.1 47.9 41.7 52.1 45.8 35.4 52.1 35.4 60.4
2/1/2017 49.2 42 40 56 52 54 44 34 56 38 46
1/1/2017 44.2 40.4 38.5 38.5 46.2 48.1 50 34.6 55.8 34.6 38.5
12/1/2016 46.1 47.8 45.7 37 50 52.2 45.7 37 52.2 28.3 43.5
11/1/2016 49.1 50 45.7 54.3 50 43.5 52.2 34.8 54.3 30.4 43.5
10/1/2016 54.2 55.6 57.7 57.7 51.9 55.8 48.1 38.5 46.2 36.5 55.8
9/1/2016 47.9 51.8 50 46.4 44.6 51.8 46.4 35.7 46.4 26.8 50
8/1/2016 55.7 64.3 66.1 60.7 57.1 41.1 53.6 35.7 48.2 41.1 53.6
7/1/2016 45.8 40.4 42.3 32.7 44.2 53.8 55.8 40.4 48.1 34.6 46.2
6/1/2016 50.7 48.2 50 50 51.8 46.4 55.4 39.3 50 32.1 51.8
5/1/2016 46.6 43.1 39.7 41.4 46.6 51.7 53.4 37.9 50 29.3 46.6
4/1/2016 47.9 42.6 44.1 47.1 52.9 47.1 48.5 36.8 51.5 25 47.1
3/1/2016 54 55 61.7 66.7 51.7 50 40 33.3 48.3 33.3 71.7
2/1/2016 55.4 57.1 62.9 60 51.4 51.4 51.4 31.4 47.1 31.4 57.1
1/1/2016 44.7 38.6 45.6 39.7 44.1 55.9 38.2 39.7 55.9 39.7 50
12/1/2015 44.1 48.3 48.3 36.2 48.3 53.4 34.5 44.8 51.7 31 43.1
11/1/2015 51.1 48.3 53.6 50 41.1 57.1 53.6 37.5 51.8 35.7 44.6
10/1/2015 47.1 57.1 46.4 50 44.6 50 44.6 39.3 50 28.6 50
9/1/2015 52.7 50 46.7 56.7 50 53.3 56.7 36.7 53.3 38.3 51.7
8/1/2015 49.5 54.8 62.5 52.5 52.5 45 35 35 45 32.5 52.5
7/1/2015 49.6 50 47.9 43.8 43.8 47.9 64.6 39.6 52.1 20.8 45.8
6/1/2015 56.7 62 62.5 60.4 56.2 46 58.3 33.3 62 29.2 58.3
5/1/2015 55.8 57.5 65.8 55.3 55.3 42.1 60.5 42.1 57.9 31.6 50
4/1/2015 58.4 62 62 60 52 58 60 40 58 48 50
3/1/2015 58.7 67.4 73.9 56.5 52.2 56.5 54.3 34.8 52.2 54.3 58.7
2/1/2015 61.7 66.7 68.8 66.7 54.2 62.5 56.2 39.6 52.1 47.9 60.4
1/1/2015 49.2 46.4 48.1 44.2 44.2 57.7 51.9 32.7 46.2 44.2 46.2
12/1/2014 49.6 48 50 40 48 52 58 38 54 32 50
11/1/2014 46.7 40.5 42.9 40.5 47.6 57.1 45.2 38.1 54.8 35.7 52.4
10/1/2014 52.9 50 54.2 52.1 47.9 50 60.4 47.2 54.3 42.9 54.3
9/1/2014 48.4 47.9 48 48 38 48 60 57.9 58 41.3 45.7
8/1/2014 53.6 54 60 56 54 50 48 50 54 39.1 54.3
7/1/2014 45.4 37.5 42.9 39.3 48.2 46.4 50 54 55.4 44.2 51.9
6/1/2014 39.7 32.3 37.1 33.9 43.5 45.2 38.7 50 64.5 40.7 46.6
5/1/2014 47.5 44.6 44.6 48.2 39.3 46.4 58.9 52.3 62.5 34 48.1
4/1/2014 47.6 44 48 50 42 52 46 52.4 56 30.4 47.9
3/1/2014 56.4 53 59.1 62.1 54.5 56.1 50 55.4 63.6 32.3 59.7
2/1/2014 52.8 48.3 51.7 56.9 46.6 56.9 51.7 52.1 60.3 42.3 50
1/1/2014 43.6 45.5 42.4 42.4 40.9 50 42.4 44.4 72.7 39.3 50
12/1/2013 41.6 39.1 35.9 35.9 43.8 50 42.2 56 51.6 28.6 44.6
11/1/2013 53.1 54.8 51.7 53.4 51.7 53.4 55.2 50 55 44.4 51.9
10/1/2013 52.1 48.3 55.4 53.6 44.6 58.9 48.2 56.5 63 24 61.5
9/1/2013 50.9 45.6 50 50 50 58.8 45.6 52 68.2 35.5 54.8
8/1/2013 51.5 47 47 51.5 50 57.6 51.5 52.2 68.8 40 57.8
7/1/2013 43.4 42.2 40.6 37.5 39.1 51.6 48.4 54.3 62.5 34.5 44.6
6/1/2013 48.1 46.4 42.6 48.1 44.4 57.4 48.1 52.4 61.5 32 43.5
5/1/2013 49.1 45.7 52.2 50 34.8 56.5 52.2 52.9 56.5 39.1 47.5
4/1/2013 55.8 53.8 59.6 57.7 53.8 51.9 55.8 47.4 59.6 33.3 58.3
3/1/2013 61.7 58.3 67.4 67.4 52.2 56.5 65.2 47.1 63.6 35.7 57.9
2/1/2013 51.2 42.3 55.8 51.9 42.3 55.8 50 42.5 50 43.8 45.5
1/1/2013 55.2 53.7 59.3 57.4 53.7 50 55.6 50 65.4 38.5 47.8
12/1/2012 55 51.6 56.2 46.9 57.8 53.1 60.9 52.1 58.1 41.9 50
11/1/2012 46.2 41.7 45.8 35.4 41.7 52.1 56.2 54.5 56.5 36.4 47.5
10/1/2012 51.5 64.8 57.4 53.7 38.9 51.9 55.6 50 63.5 38.5 44
9/1/2012 47.9 41.4 43.1 41.4 44.8 53.4 56.9 50 53.6 37 53.8
8/1/2012 57.1 58.1 62.9 61.3 56.5 46.8 58.1 45.5 63.8 35 55.6
7/1/2012 52.5 45.6 46.9 46.9 53.1 57.8 57.8 43.8 59.7 40 46.6
6/1/2012 51.9 45.5 50 51.6 46.9 51.6 59.4 50 54.8 38.7 44.8
5/1/2012 59 67.9 64.1 66.7 55.1 51.3 57.7 51.7 58.1 39.7 58.1
4/1/2012 50.6 47.1 52.9 50 48.6 52.9 48.6 48.3 63.2 43.5 51.5
3/1/2012 56.6 57.7 63.2 64.5 56.6 52.6 46.1 48.3 70.3 45.3 59.7
2/1/2012 52.1 50 50 61.8 55.3 52.6 40.8 44.6 70.3 34.8 52.9
1/1/2012 50.9 42.4 53 51.5 47 51.5 51.5 43.2 64.5 40 48.3
12/1/2011 50.9 54.3 52.9 48.6 48.6 55.7 48.6 50 62.1 38.7 53.2
11/1/2011 52.1 65.2 65.2 54.5 48.5 47 45.5 56.8 58.1 36.2 56.5
10/1/2011 54.4 45.7 52.9 51.5 50 55.9 61.8 53.8 60.9 43.1 46.8
9/1/2011 54.4 52.9 54.4 57.4 51.5 57.4 51.5 53.8 72.6 39.7 57.6
8/1/2011 48.2 45.6 51.5 52.9 42.6 54.4 39.7 62.5 70.3 39.7 48.3
7/1/2011 48.5 42.4 43.9 43.9 47 53 54.5 50 70.3 35.7 43.3
6/1/2011 51.4 52.8 57.1 48.6 47.1 50 54.3 47.8 72.7 36.7 57.8
5/1/2011 50 47.4 44.7 48.7 46.1 55.3 55.3 46.4 70 27.3 48.6
4/1/2011 49.2 51.3 50 42.1 53.9 47.4 52.6 44.4 78.4 43.5 41.4
3/1/2011 60.6 66.2 72.1 75 51.5 52.9 51.5 41.7 80.3 48.3 57.8
2/1/2011 51.4 48.7 54.1 50 45.9 50 56.8 50 73.6 33.9 48.4
1/1/2011 51.1 36.8 39.5 46.1 53.9 52.6 63.2 50 75 45.6 47
12/1/2010 55.1 56.2 56.4 59 50 56.4 53.8 46 66.7 51.4 52.9
11/1/2010 50.8 54.1 56.8 55.4 47.3 51.4 43.2 46.3 64.9 55 51.6
10/1/2010 49.1 54.4 50 48.5 39.7 55.9 51.5 54.2 64.7 46.7 46.9
9/1/2010 50.5 48.8 52.6 55.3 42.1 48.7 53.9 46.3 64.5 41.2 50
8/1/2010 51.1 49 56.5 51.1 50 53.3 44.4 45.9 63.3 37.8 54.9
7/1/2010 45.7 40.9 42.9 45.2 45.2 47.6 47.6 57.9 64.3 23.8 50
6/1/2010 53.8 57.9 50 52.7 55.4 59.5 51.4 48.6 60.8 43.2 46.9
5/1/2010 55.1 45.7 61.7 58.5 52.1 51.1 52.1 48.9 62.8 38.3 60.5

In: Economics

Exchange Rate Pass-through: I have read about a study by Gopinath, Itskhoki, and Rigobon (2010) about...

Exchange Rate Pass-through: I have read about a study by Gopinath, Itskhoki, and Rigobon (2010) about the currency which importers decide to price their goods in. The study suggests that if an importer wants low passthrough rate (e.g. 0-20%), it will price in USD. If an importer wants high passthrough rate (e.g. 100%), it will price in non-Dollar curencies. Can someone explain why an importer would want 100% passthrough versus 0% passthrough? How does this impact an importer choosing to price in local currency versus the foreign currency?

In: Economics

ROK Corporation's December 31, 2010 balance sheet showed the following: Preferred Stock - $150,000 Common Stock...

ROK Corporation's December 31, 2010 balance sheet showed the following:

Preferred Stock - $150,000
Common Stock - $400,000
Paid-in Capital excess of par value - preferred stock - $80,000
Paid-in Capital excess of par value-common stock - $800,000
Retained Earnings - $1,500,000
Treasury stock - $150,000

1. What is the total amount of Paid-in Capital as of December 31?

2.  What is the total amount of Stockholders' Equity as of December 31?

3. Which of the following statements is TRUE regarding a 2-for-1 stock split?

a. Total contributed capital decreases

b. Par value per share will be twice the amount of what it was before the split.

c. A stockholder with ten shares before the split owns twenty shares after the split.

d. The market price of the stock will probably increase.

In: Accounting

(8 pts.) PBS (Sept. 6, 2010) cited a report (Organisation for Economic Co-operation and Development) examining...

  1. (8 pts.) PBS (Sept. 6, 2010) cited a report (Organisation for Economic Co-operation and Development) examining both the speed and cost of the Internet. PBS reported the following: "Japan has the fastest average connection speed at 61 megabits per second and the lowest monthly connection price (per mbps) at $0.27. The United States ranked 15th with an average connection of 4.8 mbps and monthly price (per mbps) of $3.33." Below are the updated data for 2012 (adapted slightly for this assignment). The first column is the cost mbps and the second column includes the cost inclusive of the line charges.

                                         Cost MBPS    Total Cost/Month

Mexico

1.69

58.98

Greece

1.25

16.72

Turkey

1.12

48.98

Chile

0.96

19.28

Israel

0.77

11.78

New Zealand

0.65

130.20

Italy

0.64

6.93

Ireland

0.61

47.17

Belgium

0.59

28.93

Austria

0.56

5.05

United States

0.53

41.70

Luxembourg

0.52

10.56

Switzerland

0.47

58.06

Portugal

0.46

6.27

Norway

0.46

18.02

Poland

0.45

127.12

Iceland

0.42

6.75

Germany

0.40

23.25

Czech Republic

0.40

12.35

United Kingdom

0.39

2.12

Canada

0.39

9.86

Denmark

0.36

1.79

Australia

0.34

6.81

Hungary

0.30

26.67

France

0.23

5.10

Korea

0.22

2.07

Finland

0.22

15.99

Sweden

0.11

18.63

Netherlands

0.08

4.52

Japan

0.04

21.34

Find the mean, median, and mode for the data for the cost MBPS.

          Mean =                            Median =                            Mode = ___________                   

Find the range, standard deviation, and variance for these data.

          Range =                               S =                                S2 =  ____________         

Find the mean, median, and mode for these data for the total monthly cost inclusive of the line charges.

           Mean =                            Median =                            Mode = ___________                   

  

Find the range, standard deviation, and variance for these data.

           Range =                               S =                                S2 =  ____________         

Write a short email describing the results of this study to a friend. Remember to convey the results of the study particularly in relation to variability. What does this study tell you about Internet costs around the globe?

  1. (5 pts.) Iron levels for a sample of adult women on a vegan diet are recorded below (normal iron levels: women 40-150; men 50-175 mcg/dL).

65

           115

146

           117

95

           108

           132

           127

             86

             48

85

           117

126

           117

             98

           118

           111

           123

             85

             43

   Find the mean, median, and mode for the data.

        Mean =                             Median =                          Mode =  ___________                 

Find the range, standard deviation, and variance for the data.

         Range =                                 S =                               S2 =  ___________                   

You have a friend who has just decided to become a vegan. What would you tell your friend?

  1. (2 pts.) Find the area between the following z-scores.

   Answer                  : z = 0 and z = 1.45

   Answer                  : z = 0 and z = 1.67

   Answer                  : z = -.96 and z = 0

   Answer                  : z = -1.92 and z = 0

  1. (2 pts.) Find the area between the following z-scores

   Answer                 : z = -1.4 and z = .8

   Answer                 : z = -2.8 and z = 1.73

   Answer                 : z = -1.6 and z = -.35

   Answer                : z = 1.3 and z = 1.92

  1. (3 pts.) Students completed an exam with a mean = 50 and a standard deviation of 8. Using this information, answer each of the questions below.

   Answer                 : Clem received a score of 56 on the test. What percentage of students scored less than Clem?

   Answer                 : Ewald received a score of 40 on the test. What percentage of students scored higher than Ewald?

   Answer                 : Roscoe received a score of 45 on the test. What percentage of students scored higher than Roscoe?

   Answer                 : Myrtle received a score of 47 on the test. Buford received a score of 54 on the test. What percentage of student scored between Myrtle and Buford?

In: Statistics and Probability

Java Gourmet Coffee Java Gourmet Coffee reports the following data for April 2010 where 200,000 pounds...

Java Gourmet Coffee

Java Gourmet Coffee reports the following data for April 2010 where 200,000 pounds of roasted gourmet coffee beans were actually produced (note: standard costs do not allow for any wastage),

Actual:

Direct Materials:

Quantity of coffee beans:

210,000 pounds

Cost per pound:

$0.60 per pound

Direct Labor:

Direct labor rate:

$19.00 per hour

Labor hours used:

13,000 hours

Variable Overhead:

Actual costs:

$21,600

Standard:

Direct Materials:

Quantity of coffee beans:

200,000 pounds

Cost per pound:

$0.50 per pound

Direct Labor:

Direct labor rate:

$20.00 per hour

Labor hours to be used:

0.05 hours per pound

Variable overhead:

$.10 per pound
  1.       Refer to Java Gourmet Coffee. Calculate the direct labor efficiency variance.

a.

$60,000 U

b.

$13,000 U

c.

$13,000 F

d.

$9,500 U
  1.       Refer to Java Gourmet Coffee. Calculate the variable manufacturing overhead variance.

a.

$1,000 U

b.

$2,000 U

c.

$1,000 F

d.

$2,000 F

In: Accounting

Alibaba's IPO In September 2014, Alibaba’s (BABA) IPO, which raised $25 billion, surpassed the 2010 offering...

Alibaba's IPO

In September 2014, Alibaba’s (BABA) IPO, which raised $25 billion, surpassed the 2010 offering from the Agricultural Bank of China (ABC), which raised $22.1 billion on the Hong Kong Stock Exchange. Read the following articles and discuss why Alibaba chose the NYSE over the Hong Kong Stock Exchange and NASDAQ.

Why Jack Ma May Choose New York for Alibaba IPO?

Alibaba Picks New York Stock Exchange for IPO.

Alibaba Claims Title For Largest Global IPO Ever With Extra Share Sales.

In: Finance