Our company has 5 business units that we classify as operating segments. Financial data for these units follows (dollar values in thousands):

Calculate the quantitative thresholds and determine which of these operating segments should be disclosed in the footnotes to our financial statements? Please answer "yes" in the area where the threshold is met and "no" where the threshold is not met.

Cost of Competitive Firm

In Vienna, there is a competitive market for the production of upright pianos. David’s piano production firm can make at most six pianos per week.

Complete the four cost columns in the table above.

If the market price of pianos is $8000 this week, how many pianos should David’s firm produce to maximise profit?

What would David’s profit be this week? $

8 points   

QUESTION 23

1. Company	Ticker	Price	Number of shares	Beta
   American Electric power	AEP	$                  91.40	1000	0.07
   Dillards	DDS	$                  72.98	1000	1.15
   AMD	AMD	$                  39.10	2000	3.06
   U.S. Steel	X	$                  13.51	5000	3.04
   Google	GOOG	$             1,294.54	250	1.01
   Walmart	WMT	$                119.61	3000	0.41
   YUM Brands	YUM	$                  97.69	2000	0.37
   Jet Blue	JBLU	$                  19.01	5750	0.85

   What is the total value of this portfolio?

   What is the portfolio Beta?

   You will need this information for the next questions, please note your answers.

2. A city is hosting an annual marathon event and wants to produce t-shirts. Maria was able to obtain previous years’ demand and probability data as given in below table. She also estimates:

Selling price is $10, cost is $3, and the salvage value is $1.

Calculate all numbers in the payoff table. Show all work. How many shirts should be made to maximize profit?

Construct the following network(AOA) and determine the minimum total cost to complete the project if indirect cost is Rs.1500 per day.

A company that was to be liquidated had the following liabilities:

The company had the following assets:

  
Maximum employees’ payment does not excess $12475.

a. Calculate total assets available to pay liabilities with priority and unsecured creditors?

An Analyst wants to know if there was a significance difference in the average of hours worked in a week from 2000 (Group 1) to 2004 (Group 2). He gathers all the data from the General Social Survey, and lists the following summary statistics from the sampling.

Source: General Social Survey (sda.berkeley.edu )

What is the correct null hypothesis?

Ho: mu2004-mu2000 < 0

Ho: mu2004-mu2000 does not equal 0

Ho: mu2000-mu2004 > 0

Ho: mu2004-mu2000 = 0

An economy has full-employment output of 1500. Suppose desired consumption and desired investment are
?? = 125 + 0.75(? − ?) − 400?
?? = 200 − 100?
G is the level of government purchases, and T=100

Money demand is
?? ?
= 0.8? − 2000(? + ??)
where the expected rate of inflation, ??, is 0.05. The nominal supply of money M = 2000.

2. Asset market equilibrium and the LM curve.

i) Derive the LM curve when the price level is equal to the solution in part (h) [Hint: Use the price level from the part (2-h) to get the real money supply]

Solution in part H is P = $2

Determining Effects of Stock Splits
Oracle Corp has had the following stock splits since its inception.

a. If the par value of Oracle shares was originally $2, what would Oracle Corp. report as par value per share on its 2015 balance sheet?

Compute the revised par value after each stock split.
Round answers to three decimal places.

b. On May 10, 2016, Oracle stock traded for about $60. All things equal, if Oracle had never had a stock split, what would a share of Oracle have traded for that same day?
Round answer to the nearest dollar.
$Answer

Python to analyze weather data from a file. First, go to this Minnesota Dept. of Natural Resources web page, which displays weather data for Minneapolis on each day of the year 2000. Click the CSV link to download a file containing the data. The file is a “comma-separated values” text file of weather data. The first few lines look like this:

   "Date","Maximum Temperature degrees (F)","Minimum Temperature...
   "2000-01-01","35.0","24.0","T","0.00","0.00"
   "2000-01-02","35.0","29.0","0.04","0.50","0.00"
   "2000-01-03","29.0","24.0","T","T","0.00"

The first line of the file contains column headings, and each of the remaining lines contain weather data for one specific day. These lines contain a date followed by the high temperature, low temperature, precipitation, snowfall, and snow depth recorded on that day. A value of “T” indicates a “trace” amount of precipitation or snowfall, which you can regard as zero.

Write some Python code to load the data from the file into one or more NumPy arrays. Then compute the following:

1. Compute the average high and low temperatures for each month. For example, the average high temperature for January is the average of the high temperatures for all 31 days in January.

2. Compute the number of days each month that received no precipitation. (Regard a “trace” amount of precipitation as zero precipitation.)

3. Compute the total snowfall for each month. (Again, regard a “trace” amount as no snowfall.)

4. Find the day that had the greatest difference between the high and low temperature for that day.