1) What is the linear density in denier if 1.75 pound of yarn has a length of 110 miles?

2) How many 3.8 micronaire fibers will be in the cross-section of a 125 denier yarn?

3) If you want to make a yarn trail around a rectangular field that is 11 feet by 17 feet, what yarn mass would you need in grains if the yarn has a linear density of 55 tex?

4) How many 36 tex fibers are in the cross-section of a 65 gr/yd sliver?

5) What is the length in kilometers of 113.6 pounds of 12 ktex yarn?

6) How many 4.5 dtex fibers are in the cross-section of a 49 grain/yd sliver?

7) What is the linear density of a yarn in ktex if 0.5 miles of yarn weighs 41400 grains?

8) What is the mass in milligrams of 250 fibers in each fiber has a linear density of 3.4 denier and a length of 2.7 inches?

random sample of congressional campaigns from 2002.

FUNDS: Total money raised for the campaign, in thousands of dollars DSIZE: Area of the candidate’s congressional district, in square miles FUNDCARD: 1 = campaign website allowed credit card donations, 0 = campaign website did not allow credit card donations. We wanted to know if amount of money raised for a campaign depends on the how large the district is and whether the campaign accepted credit card donations on its website.

Write one sentence identifying and interpreting the Adjusted R Square statistic. Be specific to the example.

Which independent variable has the strongest association with the dependent variable? How do you know?

Candidate Smith’s district is 471 square miles. Her campaign website allows credit card donations. How much money is she predicted to raise for the campaign? Show your calculation and write one complete sentence that includes your answer.

2) You work for GrubHub delivering takeout to people who ask for delivery. You need to purchase a vehicle and are trying to decide between two choices. The first is a gasoline car that currently sells for $27,500, gets 20 miles to the gallon, has a resale value of $8,500 in 10 years and has maintenance costs of $750 per year. The alternative is an electric car that costs $35,000, has a resale value of $15,000 in 10 years, and has maintenance costs of $500 per year. You expect to drive 12,000 miles per year, and the cost of gasoline is $2.00 per gallon while the price of electricity is $.0666667 per mile. a) Graph the NPV profiles for both cars. (8) b) Which car would you choose? Explain in detail. (8) c) Assume the discount rate is 5%. What would the price of gasoline have to be to make you indifferent between the gas and electric cars?

1.straight-line,

2.units-of-production, and

3. double-declining-balance.

On January 8, 2007, Big 5 purchases a van to transport kayak back to the point of departure at the conclusion of the kayaking adventures they operate. The cost of the van is $38,000. It has an estimated salvage value of $2,000 and is expected to be used for four years. The van is estimated to be driven 11,000 miles in 2007, 16,000 miles in 2008, 19,000 in 2009 and 23,000 in 2010.

1. Compute the annual depreciation expense for each year of the van’s estimated useful life.

2. Explain when and how annual depreciation is recorded. Prepare journal entries

3. Explain the impact on income of this depreciation method versus others over the van’s life.

4. Identify the van’s book value for each year of its life and illustrate the reporting of this amount for any one year.

5. Prepare a depreciation schedule(for each depreciation method)

A sociologist was hired by a large city hospital to investigate the relationship between the number of
unauthorized days that employees are absent per year and the distance (miles) between home and
work for the employees. A sample of 6 employees was chosen, and the following data were collected.
Distance to work (miles) 1 3 4 6 8 10
Number of days absent 8 5 8 7 6 3

e. Compute the correlation coefficient.
f. Conduct a t-test at a 0.05 level of significance to test for a significant relationship between
distance to work and number of days absent. State your conclusion.
g. Conduct an F-test at a 0.05 level of significance to test for a significant relationship between
distance to work and number of days absent. State your conclusion.
h. Did you get the same conclusion for the t-test and the F-test? Will this always be the case for a
test for significance of the relationship in a simple linear regression?

Question text

7-step Hypothesis Testing Problem

Complete the 7 steps in Excel and upload the file here

Two major automobile manufacturers have produced compact cars with the same size engines.We are interested in determining whether or not there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles.A random sample of eight cars from each manufacturer is selected, and eight drivers are selected to drive each automobile for a specified distance.The following data show the results of the test.

At the 0.05 level of significance, conduct a 7-step hypothesis test to determine whether there is a significant difference in the MPG (miles per gallon) of the two brands of automobiles.

Terri Vogel, an amateur motorcycle racer, averages 129.71 seconds per 2.5 mile lap (in a seven-lap race) with a standard deviation of 2.28 seconds. The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps.

• Part (a)

  In words, define the random variable X.

  the time (in seconds) per lapthe time (in seconds) per race    the distance (in miles) of each racethe distance (in miles) of each lap

• Part (b)

  Give the distribution of X.
  X ~

• Part (c)

  Find the percent of her laps that are completed in less than 135 seconds. (Round your answer to two decimal places.)
  

• Part (d)

  The fastest 2% of her laps are under how many seconds? (Round your answer to two decimal places.)
  sec

• Part (e)

  Enter your answers to two decimal places.
  
  The middle 80% of her lap times are from  seconds to  seconds.

(1.)                Railroads no longer dominate the freight transportation market, but they still lead the market in terms of freight ton-miles. What factors contribute to their leadership in this area? Why is their share of the total expenditures for freight movement so small if they lead in freight ton-miles?

(3.) Explain the difference between intramodal and intermodal competition in the railroad industry. Which form of competition is most beneficial to shippers? Why?

(5.) What factors have contributed to the decline in the volume of higher- value freight by the railroads? What changes, if any, could the railroads make to attract back more higher value freight from motor carriers?

(7.) The railroad industry has developed a number of new types of equipment to replace the standard boxcar. What is the rationale supporting the diversification of equipment?

(9.) Discuss the major current issues facing the railroad industry. Select one of these major issues and present appropriate recommendations for resolving the issue.

Please enter flowchart. Thank you!

from tkinter import *
from tkinter.scrolledtext import ScrolledText

#method to open file and load contents into text field
def open_file():
#fetching file name from filenamevar StringVar
filename=filenamevar.get()
try:
#opening file in read mode
file=open(filename,'r')
#reading text
text=file.read()
#replacing current text in textField to read text
textField.replace("1.0",END,text)
#closing file
file.close()
except:
#displaying error message in textField
textField.replace("1.0", END, 'File not found!')

#method to save current contents of file into file mentioned in file name entry field
def save_file():
#fetching file name
filename=filenamevar.get()
try:
#opening file in append mode
file=open(filename,'a')
#getting current text in textField
text=textField.get("1.0",END)
#writing to file
file.write(text)
#saving and closing file
file.close()
#displaying success message in textField
textField.replace("1.0",END,"Saved!")
except:
#displaying error message in textField
textField.replace("1.0", END, 'Error while saving!')

#creating a root window, setting title
root=Tk()
root.title('GUI Writer')

#creating a StringVar so it can be linked to an entry field
filenamevar=StringVar()

#creating and adding a label to the root, using grid geometry, sticky='W' aligns west
Label(root,text='File name: ').grid(row=0,column=0, sticky='W')
#creating Entry, linking filenamevar as textvariable. so filenamevar can get/set
#values of entry field, sticky='EW' stretches field to fit the column
Entry(root,textvariable=filenamevar).grid(row=0,column=1,columnspan=2, sticky='EW')

#another label for "File contents:"
Label(root,text='File contents: ').grid(row=1,column=0, sticky='W')

#a scrolledtext for displaying text
textField=ScrolledText(root)
#adding to root on row 2, column 0, occupying width of 4 columns and height of 4 rows
#using a padding of 10 around margins
textField.grid(row=2,column=0, columnspan=4, rowspan=4,padx=10,pady=10)

#creating open and save buttons, adding command to call open_file() and save_file() methods
#respectively, for opening and saving files
Button(root,text='Open', command=open_file).grid(row=6,column=2, sticky='EW')
Button(root,text='Save', command=save_file).grid(row=6,column=3, sticky='EW')

#staying until user closes the window
root.mainloop()