30. Which one of the following is correct?

1. US treasury bonds have more risk than common stock
2. Common stock has more risk than secured bonds
3. Secured bonds have less risk than US treasury bonds
4. Secured debt has more risk than unsecured debt

31. The following statements are true about mutual funds except which one:

1. Mutual funds invest mostly in private unlisted companies not public stocks
2. Mutual funds are appropriate for small investors
3. Some mutual funds charge upfront “loads”, and some do not
4. Mutual funds pool individuals’ money and invest in managed public stock portfolios

32. The term “ETF” is an abbreviation for:

1. Externally Traded Funds
2. European Traded Funds
3. Essential Traded Funds
4. Exchange Traded Funds

33. As discussed in class which of the following is correct about Warren Buffet

1. He was Secretary of the Treasury during the most recent recession
2. He bailed out accounting firm Arthur Anderson following the Enron scandal
3. He purchased cheap shares of American express after the Great Salad Oil Scandal
4. None of the above

34. The Great Salad Oil Scandal referred to a company that

1. Sold salad oil with salmonella that resulted in deaths to Americans in 1989
2. Sold rancid salad oil to Mexico that killed Mexicans in 1958
3. Almost bankrupted major brokerage firms in 1963
4. Bought crude oil from Iran and labeled it as salad oil to avoid trade sanctions in 2004

35. Which of the following is not an accepted standard for reporting financial results?

1. Global Accounting Standards and Principles (GASP)
2. International Financial Reporting Standards (IFRS)
3. Generally Accepted Accounting Principles (GAAP)

BLC Ltd. has revenue of £500 million and sells all of its goods on credit to a variety of different wholesale customers. At the moment the company offers a standard credit period of 30 days. However, 70% of its customers (by revenue) take an average of 70 days to pay, while the other 30% of customers (by revenue) pay within 30 days. The company is considering offering a 2% discount for payment within 30 days and estimates that 80% of customers (by revenue) will take up this offer (including those that already pay within 30 days). The Managing Director has asked the credit controller if the cost of this new policy would be worth offering. The company has a £80 million overdraft facility that it regularly uses to the full limit due to the lateness of payment and the cost of this overdraft facility is 15% per annum. The credit controller also estimates that bad debt level of 2% of revenue would be halved to 1% of revenue as a result of this new policy. Required Calculate the approximate equivalent annual percentage cost of a discount of 2%, which reduces the time taken by credit customers to pay from 70 days to 30 days. Calculate the value of trade receivables under the existing scheme and the proposed scheme at the year-end. Evaluate the benefits and costs of the scheme and explain with reasons whether the company should go ahead and offer the discount. You should also consider other factors in this decision. (Hint: You need to work out the cost of the discount compared to the interest on the overdraft saved and bad debt reduction.)

For each of the following situations, write if you agree or disagree with the financial reporting practices used and briefly explain the reasons that justify your response.

1. The Cantor Corporation accountant increased the book value of the patent from its cost of $ 1 million to its newly valued value of $ 6 million.
2. Stanton Corporation paid for personal travel from its chief financial officer and charged the travel expense.
3. At the end of the fiscal year 2013 fiscal year, Dower, Inc., received a consumer order for $ 60,000. The merchandise will be shipped early in the year 2014. Because this sale is made to a consumer that has been for a long period of time and the invoice was paid in 2013, the auditor recorded the sale in 2013.
4. In the middle of fiscal year 2013, Sanguinetti, Inc., paid $ 12,000 to your insurance company for one year of coverage comprehensively. Sanguinetti recorded the expenditure in 2013.
5. The pharmacy company Churchill included a note in its financial statements that describes a pending lawsuit against the company.
6. Daily Corporation, a company whose securities are publicly traded, prepares monthly, quarterly and annual financial statements for internal use but only made annual financial statements available to external entities.

Ask the user for the name of a car maker. Display the oldest and newest car from that maker. Modify your display to include the VIN of the car. Format the output in columns of 15, 25, 5, and 18.

Toyota

Required Output

What car make are you looking for?\n
Oldest Toyota\n
         Toyota                      MR2 1985 WAUFFAFL2CN997894\n
Newest Toyota\n
         Toyota                    Venza 2013 WAUEH54B01N735764\n

Chevrolet

Required Output

What car make are you looking for?\n
Oldest Chevrolet\n
      Chevrolet                  Corvair 1960 1N6BF0KM1FN003702\n
Newest Chevrolet\n
      Chevrolet                 Colorado 2012 WVWAA7AJ4BW878497\n

Lamborghini

Required Output

What car make are you looking for?\n
Oldest Lamborghini\n
    Lamborghini              Murciélago 2002 3GYFK66N43G898137\n
Newest Lamborghini\n
    Lamborghini                Reventón 2008 ZHWGU5BR6EL542311\n

Kia

Required Output

What car make are you looking for?\n
Oldest Kia\n
            Kia                   Sephia 1996 1N6AA0CC7CN222465\n
Newest Kia\n
            Kia                    Forte 2012 2V4RW3D14AR530852\n

GMC

Required Output

What car make are you looking for?\n
Oldest GMC\n
            GMC                    Jimmy 1992 1YVHZ8BA1A5450350\n
Newest GMC\n
            GMC                    Yukon 2013 1FTFW1E82AK523715\n

Volvo

Required Output

What car make are you looking for?\n
Oldest Volvo\n
          Volvo                      850 1995 JH4KC1F95FC996591\n
Newest Volvo\n
          Volvo                      S60 2011 WA1DGAFE7ED674601\n

Heres cars.txt that you wanted:

make     model year
Ford   Expedition 2003
Mazda  B-Series   1989
Ford   Freestar   2003
Hyundai    Elantra    2001
Hyundai    Entourage  2008
Chevrolet  Camaro 2011
Chevrolet  Monte Carlo    2006
Chevrolet  Blazer 1996
Chevrolet  Aveo   2005
Chevrolet  Corvette   1999
Mercedes-Benz  E-Class    2006
Dodge  Avenger    1995
Pontiac    Grand Prix 1973
Mitsubishi Outlander  2011
MINI   Clubman    2011
Suzuki Aerio  2007
Dodge  Dakota Club    1992
Chevrolet  Astro  2002
Chevrolet  Tahoe  1996
Mitsubishi Mirage 1994
Porsche    944    1991
Hyundai    Elantra    1994
Mercury    Grand Marquis  1998
Volkswagen Golf   2001
Jaguar XJ Series  2005
Toyota Echo   2005
GMC    Safari 2002
GMC    Sierra 1500    2000
Chevrolet  Cobalt 2005
Jeep   Patriot    2008
Mazda  Navajo 1991
Chevrolet  Malibu 2001
Saab   900    1990
Mercury    Grand Marquis  1998
Hummer H1 2004
Subaru Loyale 1993
Jeep   Wrangler   1999
Ford   Mustang    1994
Austin Mini Cooper S  1963
Mercedes-Benz  M-Class    1998
Jeep   Wrangler   2006
Honda  Civic  1997
Plymouth   Voyager    1994
Ford   Club Wagon 1997
Audi   5000S  1984
Saturn VUE    2003
Oldsmobile Achieva    1994
Mercedes-Benz  G55 AMG    2006
Chevrolet  Express 3500   1997
Lexus  ES 1992
Cadillac   Allante    1992
Hyundai    Tiburon    1997
Pontiac    Grand Prix 1965
Ford   Focus  2000
Mitsubishi Chariot    1987
Chrysler   Prowler    2001
Land Rover Discovery  2012
Volkswagen Scirocco   1984
Ford   Bronco 1984
Hyundai    Accent 1996
Volkswagen Routan 2012
Volkswagen Golf   2003
GMC    Terrain    2010
Ford   F150   2009
GMC    Sierra 2011
Dodge  Ram Van 1500   2000
Chrysler   300    2009
Oldsmobile Achieva    1997
Land Rover Discovery  2008
Toyota 4Runner    2002
Porsche    911    1995
Toyota Land Cruiser   2002
Land Rover Defender   1994
Chevrolet  Lumina 1997
Audi   TT 2002
Chrysler   Town & Country 2009
Nissan Frontier   2000
Toyota Tercel 1997
Buick  Riviera    1997

I would prefer the sorting algorithm types like Bubble and Selection searches if you can. If you want car-list.txt, I can't put it in the question because it was too long. Make sure this in Java and also have notes on the program and the right formatting, thank you.

Data sets for daily high temperatures (in °F) in the months of August and February of 2015, 2017, and 2019:

August 2015: 80; 81; 85; 87; 84; 80; 75; 82; 83; 85; 72; 78; 79; 85; 88; 89; 90; 90; 86; 84; 80; 79; 80; 85; 79; 74; 71; 77; 83; 88; 85

February 2015: 31; 33; 23; 37; 33; 22; 37; 42; 36; 29; 32; 32; 15; 24; 12; 12; 23; 28; 15; 13; 24; 37; 30; 23; 33; 23; 22; 27

August 2017: 86; 87; 85; 86; 74; 73; 66; 79; 82; 82; 78; 81; 80; 76; 78; 81; 85; 82; 83; 81; 81; 85; 88; 74; 74; 74; 76; 73; 63; 76; 72

February 2017: 39; 35; 27; 30; 38; 45; 50; 53; 33; 27; 44; 38; 36; 43; 43; 30; 38; 62; 64; 49; 48; 57; 70; 75; 67; 36; 50; 64

August 2019: 85; 86; 85; 86; 84; 87; 82; 82; 79; 77; 79; 84; 83; 83; 82; 83; 86; 89; 87; 87; 86; 85; 74; 75; 76; 76; 72; 79; 76; 82; 76

February 2019: 18; 31; 46; 59; 58; 40; 54; 47; 27; 31; 35; 33; 34; 38; 55; 35; 39; 34; 28; 32; 48; 39; 41; 44; 37; 30; 31; 30

1. Compute 99% confidence intervals for the average daily maximum temperature in February for each of the three years of the above data. How do they compare?
2. Compute 99% confidence intervals for the average daily maximum temperature in August for each of the three years in which you collected data. How do they compare?

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Measure the strength of the linear association between consumers’ moods and the dollar amounts spent on luxury items.

An economist with a major bank wants to learn, quantitatively, how much spending on luxury goods and services can be explained based on consumers’ perception about the current state of the economy and what do they expect in the near future (6 months ahead).  Consumers, of all income and wealth classes, were surveyed.  Every year, 1500 consumers were interviewed.  The bank having all of the data from the 1500 consumers interviewed every year, computed the average level of consumer confidence (an index ranging from 0 to 100, 100 being absolutely optimistic) and computed the average dollar amount spent on luxuries annually.  Below is the data shown for the last 24 years.

Date                 X                     Y (in thousands of dollars)

1994                79.1                 55.6

1995                79                    54.8

1996                80.2                 55.4

1997                80.5                 55.9

1998                81.2                 56.4

1999                80.8                 57.3

2000                81.2                 57

2001                80.7                 57.5

2002                80.3                 56.9

2003                79.4                 55.8

2004                78.6                 56.1

2005                78.3                 55.7

2006                78.3                 55.7

2007                77.8                 55

2008                77.7                 54.4

2009                77.6                 54

2010                77.6                 56

2011                78.5                 56.7

2012                78.3                 56.3

2013                78.5                 57.2

2014                78.9                 57.8

2015                79.8                 58.7

2016                80.4                 59.3

2017                80.7                 59.9

Question:

1. Do you think that measuring the level of optimism is a good predictor for trying to forecast future spending on luxury items?  Explain why or why not.

The following data set provides information on the lottery sales, proceeds, and prizes by year in Iowa.

You decided to find the linear equation that corresponds to sales and year. Create a graph using the sales and year. Add the linear equation to the graph. What is the y-intercept of the linear equation?

Round each value below to the nearest integer.

Provide your answer below: ____E+ ___

Please Use R studio and show all the steps to answer this question

NY Marathon 2013 the table below shows the winning times (in minutes) for men and women in the new york city marathon between 1978 and 2013. (the race was not run in 2012 because of superstorm sandy.) assuming that performances in the big apple resemble performances elsewhere, we can think of these data as a sample of performance in marathon competitions. Create a 90% confidence interval for the mean difference in winning times for male and female marathon competitors.