1-Explain why a company that is publicly traded using a US market may not file a report on Form 10-K and still be in compliance with its’ annual reporting obligation.

2- Identify the reports that accompany a set of financial statements .

Find an example of a publicly-traded company that lists two risk factors in their 10-K that you think will become greater liabilities for them in the near future. If you were the CEO, how would you mitigate those risks?

Choose a well-known, publicly-traded company that none of your other classmates have chosen, and explain what costs would be included in each of the three manufacturing cost categories. Include a link to this financial statement in your post.

Question 2:

In this part, we will use t-procedures. t-procedures are both confidence intervals and hypothesis tests that

use a t distribution. They are called t-procedures because they rely on a t-test statistic and/or a t-critical

value, so we only need to know the results of a sample in order to perform these procedures for a population

You will use the data file TempSample00-18.

(THIS is Temp sample data)

YEAR,Month,High Temperature

2000,Jan,45

2000,Jan,48

2001,Jan,49

2003,Jan,62

2003,Jan,53

2004,Jan,42

2004,Jan,47

2005,Jan,40

2005,Jan,47

2006,Jan,48

2006,Jan,47

2007,Jan,51

2007,Jan,34

2007,Jan,47

2009,Jan,50

2011,Jan,35

2012,Jan,44

2013,Jan,38

2013,Jan,53

2013,Jan,42

2014,Jan,58

2014,Jan,47

2014,Jan,44

2015,Jan,52

2016,Jan,44

2017,Jan,49

2018,Jan,54

2000,Feb,48

2001,Feb,47

2004,Feb,47

2007,Feb,51

2008,Feb,51

2008,Feb,55

2011,Feb,45

2014,Feb,37

2014,Feb,54

2014,Feb,58

2015,Feb,54

2017,Feb,52

2017,Feb,44

2017,Feb,45

This includes an SRS of daily temperature highs from January and February from the years 2000-2018

(i.e. “recent” highs). The distribution of “recent” daily high temperatures is approximately Normal.

A.

1) Describe the intended population?

2) Describe the sample?

3) Describe the variable of interest?

4) Describe the parameter of interest (in context)?

5) Describe the statistic of interest (in context)? Give a numerical value along with your description.

Round to two decimal places.

B.

1) Check that the conditions for using t-procedures are satisfied. If they are not, discuss whether or not it is reasonable to use t-procedures.

C.

1) What degrees of freedom are needed?

2) What critical value is used to compute a 95% confidence interval?

3) Give the 95% confidence interval. Round to two decimal places.

4) Interpret your 95% confidence interval.

D.

1) Perform a hypothesis test for α = .01. Be sure to interpret your p-value in context.

E.

1) Based on your work in Part B, what would you say about the daily high temperature for “recent” years compared to “historical” years?

Question 2:

In this part, we will use t-procedures. t-procedures are both confidence intervals and hypothesis tests that

use a t distribution. They are called t-procedures because they rely on a t-test statistic and/or a t-critical

value, so we only need to know the results of a sample in order to perform these procedures for a population

You will use the data file TempSample00-18.

(THIS is Temp sample data)

YEAR,Month,High Temperature

2000,Jan,45

2000,Jan,48

2001,Jan,49

2003,Jan,62

2003,Jan,53

2004,Jan,42

2004,Jan,47

2005,Jan,40

2005,Jan,47

2006,Jan,48

2006,Jan,47

2007,Jan,51

2007,Jan,34

2007,Jan,47

2009,Jan,50

2011,Jan,35

2012,Jan,44

2013,Jan,38

2013,Jan,53

2013,Jan,42

2014,Jan,58

2014,Jan,47

2014,Jan,44

2015,Jan,52

2016,Jan,44

2017,Jan,49

2018,Jan,54

2000,Feb,48

2001,Feb,47

2004,Feb,47

2007,Feb,51

2008,Feb,51

2008,Feb,55

2011,Feb,45

2014,Feb,37

2014,Feb,54

2014,Feb,58

2015,Feb,54

2017,Feb,52

2017,Feb,44

2017,Feb,45

This includes an SRS of daily temperature highs from January and February from the years 2000-2018

(i.e. “recent” highs). The distribution of “recent” daily high temperatures is approximately Normal.

A.

1) Describe the intended population?

2) Describe the sample?

3) Describe the variable of interest?

4) Describe the parameter of interest (in context)?

5) Describe the statistic of interest (in context)? Give a numerical value along with your description.

Round to two decimal places.

B.

1) Check that the conditions for using t-procedures are satisfied. If they are not, discuss whether or not it is reasonable to use t-procedures.

C.

1) What degrees of freedom are needed?

2) What critical value is used to compute a 95% confidence interval?

3) Give the 95% confidence interval. Round to two decimal places.

4) Interpret your 95% confidence interval.

D.

1) Perform a hypothesis test for α = .01. Be sure to interpret your p-value in context.

E.

1) Based on your work in Part B, what would you say about the daily high temperature for “recent” years compared to “historical” years?

Listed below is the net sales in $ million for Home Depot Inc. and its subsidiaries from 1993 to 2015. Remember to code the years starting at 1 for year 1993. Year Net Sales 1993 $ 9,854 1994 12,629 1995 16,212 1996 19,085 1997 23,642 1998 31,934 1999 40,035 2000 46,621 2001 55,432 2002 58,246 2003 64,438 2004 73,664 2005 80,767 2006 89,476 2007 78,442 2008 73,135 2009 64,853 2010 67,223 2011 70,034 2012 75,408 2013 78,117 2014 82,730 2015 88,658 Click here for the Excel Data File Determine the least squares equation. On the basis of this information, what are the estimated sales for 2016 and 2017? (Round your final answers to 2 decimal places.)

US Census Bureau tracks the median price for new home sales by month of year. The mediane price for April for the years 2001 to 2011 follow.

Years

a.         Compute a 2-week moving average for the above time series.

b.         Compute the mean square error (MSE) and mean Absolute deviation (MAD) for the

     2- year moving average forecast.

c.         Use a = 0.2 to compute the exponential smoothing values and MSE and MAD for

     the time series.

d. Which model is the best.? Justify your answer

e. Forecast the price for Year 2012.

The following data set provides information on acres harvested and planted by year and value in the US. Year ASPARAGUS - ACRES HARVESTED ASPARAGUS - ACRES PLANTED 2015 21,700 23,500 2014 23,800 25,800 2013 24,500 26,800 2012 25,300 27,800 2011 26,800 28,400 2010 28,000 29,200 2009 29,200 30,700 2008 32,200 33,700 2007 38,600 40,900 2006 43,200 44,700 2005 49,300 51,700 2004 61,500 66,000 2003 58,000 62,000 2002 66,000 70,500 2001 70,150 75,150 2000 77,400 82,800 1999 75,890 79,590 1998 74,430 From the data set, use the planting data for the United States for recent years. Using a calculator or statistical software, find the equation for the linear regression line for 2010 to 2015. What is the y-intercept?

Determine if the data on petroleum imports provided in Assignment 1 follows a normal distribution.

Please show all steps using data set below and excel.

• By using a bivariate regression trend line model, forecast total houses sold for the next five years.
• Prepare a time series plot of these data (years are on the x axis, THS is on the y axis) that shows both actual and forecast THS for the next five years.

Total Houses Sold