Questions
A car owner conducts an experiment by filling up their car with 10 gallons of gas...

A car owner conducts an experiment by filling up their car with 10 gallons of gas and drives until it runs out of gas. The number of miles driven from the 10 times of doing this experiment is shown below: 246 251 279 207 274 255 322 248 231 245

Find the following: Show ALL necessary work

a) Median

b) Lower and Upper Quartiles

c) IQR

d) State the mild outliers, if any. If there are no outliers, then state "no outliers".

In: Statistics and Probability

The famous Science Fiction author, Arthur C. Clarke, came up with the idea of a geosynchronous...

The famous Science Fiction author, Arthur C. Clarke, came up with the idea of a geosynchronous communication satellite in 1945, 20 years before the first one, the Intelsat I, was launched. This is a great example of Science Fiction becoming fact. If a satellite is geosynchronous then its period is one day. [So, it stays directly above one point on Earth's surface.] Let's say that we have a geosynchronous communication satellite in orbit around Earth. Calculate the altitude of the satellite (in miles).

In: Physics

A survey was given to 18 students. One question asked about the one-way distance the student...

A survey was given to 18 students. One question asked about the one-way distance the student had to travel to attend college. The results, in miles, are shown in the following table. Use the median procedure for finding quartiles to find the first, second, and third quartiles for the data. Distance Traveled to Attend College

46 50 18 26 64 78 4 38 44 44 10 70 74 44 86 32 26 48

Q1 =

Q2 =

Q3 =

In: Statistics and Probability

A company with a large fleet of cars sets a goal of attaining a fleet average...

A company with a large fleet of cars sets a goal of attaining a fleet average of at least 26 miles per gallon of gasoline. To see if that goal is being met, they check the gasoline usage for 50 company trips chosen at random, finding a mean of 25.02 mpg and a standard deviation of 4.83 mpg.

  1. a) Is this a strong evidence that they have failed to attain their fuel economy goal? Assume significance level of 0.1.

  2. b) Calculate the p-value and confirm that you get the same conclusion as in part (a).

In: Statistics and Probability

I. You have studied the chapters on unemployment and business cycles. Please review those chapters before...

I. You have studied the chapters on unemployment and business cycles. Please review those chapters before you answer this question

  1. a) Find the time series data (quarterly or monthly) on the unemployment rate, inflation rate and real GDP growth in the U.S. from 1980 to 2005, and discuss whether the Okun’s Law is valid or not. Then, discuss whether the Phillips curve exists in the U.S. economy( you have to report your data source and or the website).

  2. b) Which recession is most severe in terms of its depth and the duration of unemployment?

  3. c) Why unemployment rises when the economic is recovering? what kinds of unemployment is it ?

II. Monetary policy will have different impact on the equilibrium rate of interest and GDP. Try to draw three different IS curves with different slopes and show

  1. a) The different impact of the same easy money policy on interest rate and GDP in these different IS curves

  2. b) Monetary policy is most effective under what conditions ( which IS curve). Why ?

  3. c) What determine the slopes of IS curve. Review chapter 14 on sticky price and flexible price model to answer the percentage distribution of both types of firms ,i.e. s vs ( 1-s) under different IS curves( hint : refer to the equations on. P. 408 and p. 411 that

    P=EP+{( 1-s)/a/s} ( ( Y-Y bar) p. 408 Y= Y bar + alpha ( P-EP). P. 411

Year Growth Unemployment Inflation Business Cycle
1929 NA 3.2% 0.6% Aug peak and Oct. market crash
1930 -8.5% 8.7% -6.4% Contraction
1931 -6.4% 15.9% -9.3% Contraction
1932 -12.9% 23.6% -10.3% Contraction
1933 -1.2% 24.9% 0.8% New Deal and March trough
1934 10.8% 21.7% 1.5% Expansion
1935 8.9% 20.1% 3% Expansion
1936 12.9% 16.9% 1.4% Expansion
1937 5.1% 14.3% 2.9% May peak
1938 -3.3% 19% -2.8% June trough
1939 8% 17.2% 0% Expansion and Dust Bowl ended
1940 8.8% 14.6% 0.7%
1941 17.7% 9.9% 9.9% Expansion and WWII
1942 18.9% 4.7% 9% Expansion
1943 17% 1.9% 3% Expansion
1944 8% 1.2% 2.3% Bretton-Woods
1945 -1% 1.9% 2.2% Feb. peak, recession, Oct. trough
1946 -11.6% 3.9% 18.1% Expansion and Fed cuts
1947 -1.1% 3.9% 8.8% Marshall Plan and Cold War
1948 4.1% 4% 3% Nov. peak
1949 -0.6% 6.6% -2.1% Oct. trough and NATO
1950 8.7% 4.3% 5.9% Expansion and Korean War
1951 8% 3.1% 6% Expansion
1952 4.1% 2.7% 0.8% Expansion
1953 4.7% 4.5% 0.7% War ended and July peak
1954 -0.6% 5% -0.7% May trough, Dow at 1929 level
1955 7.1% 4.2% 0.4% Expansion
1956 2.1% 4.2% 3% Expansion
1957 2.1% 5.2% 2.9% Aug peak
1958 -0.7% 6.2% 1.8% April trough
1959 6.9% 5.3% 1.7% Fed raised rates
1960 2.6% 6.6% 1.4% April peak and Fed cut
1961 2.6% 6% 0.7% JFK spending and Feb. trough
1962 6.1% 5.5% 1.3% Cuban Missile Crisis
1963 4.4% 5.5% 1.6% LBJ spending, Fed raised rate
1964 5.8% 5% 1% Fed raised rate
1965 6.5% 4% 1.9% Vietnam War, Fed raised rate
1966 6.6% 3.8% 3.5% Expansion, Fed raised rate
1967 2.7% 3.8% 3% Expansion
1968 4.9% 3.4% 4.7% Fed raised rate
1969 3.1% 3.5% 6.2% Nixon, Fed raised rate, Dec. peak
1970 0.2% 6.1% 5.6% Nov. trough, Fed cut rate
1971 3.3% 6% 3.3% Expansion and Wage-price controls
1972 5.3% 5.2% 3.4% Expansion
1973 5.6% 4.9% 8.7% Vietnam War and gold standard ended, Nov. peak.
1974 -0.5% 7.2% 12.3% Stagflation, Watergate, Fed raised rate
1975 -0.2% 8.2% 6.9% March trough, Fed cut rate
1976 5.4% 7.8% 4.9% Expansion, Fed cut rate
1977 4.6% 6.4% 6.7% Carter
1978 5.5% 6% 9% Fed raised rate
1979 3.2% 6% 13.3% Fed raised then lowered rate
1980 -0.3% 7.2% 12.5% Jan. peak, Fed raised rate, July trough
1981 2.5% 8.5% 8.9% Reagan, Expansion peaked in July
1982 -1.8% 10.8% 3.8% Nov. trough, Fed cut rate
1983 4.6% 8.3% 3.8% Reagan spent on defense
1984 7.2% 7.3% 3.9% Expansion
1985 4.2% 7% 3.8% Expansion
1986 3.5% 6.6% 1.1% Reagan cut taxes
1987 3.5% 5.7% 4.4% Black Monday
1988 4.2% 5.3% 4.4% Expansion, Fed raised rate
1989 3.7% 5.4% 4.6% S&L Crisis
1990 1.9% 6.3% 6.1% July peak
1991 -0.1% 7.3% 3.1% March trough
1992 3.5% 7.4% 2.9% Expansion, Fed cut rate
1993 2.8% 6.5% 2.7% Expansion
1994 4% 5.5% 2.7% Expansion
1995 2.7% 5.6% 2.5% Fed raised rate
1996 3.8% 5.4% 3.3% Fed cut rate
1997 4.4% 4.7% 1.7% Fed raised rate
1998 4.5% 4.4% 1.6% LTCM crisis
1999 4.8% 4% 2.7% Expansion
2000 4.1% 3.9% 3.4% Expansion
2001 1% 5.7% 1.6% March peak, 9/11, and Nov. trough
2002 1.7% 6% 2.4% Expansion
2003 2.9% 5.7% 1.9% JGTRRA
2004 3.8% 5.4% 3.3% Expansion
2005 3.5% 4.9% 3.4% Expansion
2006 2.7% 4.4% 2.5% Expansion

In: Economics

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The...

Cincinnati Paint Company sells quality brands of paints through hardware stores throughout the United States. The company maintains a large sales force whose job it is to call on existing customers as well as look for new business. The national sales manager is investigating the relationship between the number of sales calls made and the miles driven by the sales representative. Also, do the sales representatives who drive the most miles and make the most calls necessarily earn the most in sales commissions? To investigate, the vice president of sales selected a sample of 25 sales representatives and determined:

Commissions

Calls

Driven

22

143

2374

13

136

2227

34

146

2733

39

142

3351

23

142

2293

47

146

3450

30

141

3117

38

139

3344

42

148

2843

33

138

2629

20

138

2124

14

138

2223

47

150

3465

39

149

3291

45

145

3106

30

149

2125

39

145

2792

37

153

3213

15

135

2287

34

146

2851

25

133

2690

28

132

2936

26

130

2671

43

155

2992

35

148

2830

A) Develop a regression equation including a interaction term.

In: Statistics and Probability

1) Pat gave 5,000 shares of stock in Coyote Corporation (a publicly traded corporation) to her...

1) Pat gave 5,000 shares of stock in Coyote Corporation (a publicly traded corporation) to her church (a qualified charitable organization) in the current year. The stock was worth $180,000 and she had acquired it as an investment four years ago at a cost of $120,000. She reported AGI of $300,000 for the year. In completing her current income tax return, how much is her current-year charitable contribution deduction?

2)

Brad, who would otherwise qualify as Faye’s dependent, had gross income of $9,000 during the

year. Faye, who had AGI of $120,000, paid the following medical expenses this year:

Cataract operation for Brad $5,400
Brad’s prescribed contact lenses 1,800
Faye’s doctor and dentist bills 12,600
Prescribed drugs for Faye 2,550
Total $22,350

What is the total medical expense deduction for Faye?

3)

Corey is the city sales manager for “RIBS,” a national fast food franchise. Every working day,

Corey drives his car as follows:

Miles
home to office 20
Office to RIBS No. 1 15
Ribs No. 1 to No.2 18
Ribs No2. to No 3. 13
Ribs no 3 to home 30

Corey renders an adequate accounting to his employer. What are Corey’s reimbursable miles?

In: Accounting

Code in Java Change the instructionLabel to ask the user to enter a numeric value into...

Code in Java

Change the instructionLabel to ask the user to enter a numeric value into the textField and click the button to convert the entered value from kilometers to miles (1.609344 km = 1 mile).

When the actionButton on the form is clicked, ActionWindow should take the value entered in the textField, convert it from kilometers to miles, and display the result in the resultField.

import java.awt.Container;

import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JTextField;

public class ActionWindow extends JFrame {

   JLabel label;
   JButton button;
   JFrame frame;
   JTextField text;

   public ActionWindow() {
       label = new JLabel();
       button = new JButton();
       frame = new JFrame();
       text = new JTextField();
   }

   public static void main(String[] args) {
       WindowRunnable myWindow = new WindowRunnable();
       javax.swing.SwingUtilities.invokeLater(myWindow);
   }


   public static void createAndShowGUI() {
       ActionWindow frame = new ActionWindow();
       frame.setDefaultCloseOperation(frame.EXIT_ON_CLOSE);
       frame.addComponentsToPane(frame.getContentPane());
       frame.pack();
       frame.setVisible(true);
   }

   public void addComponentsToPane(Container pane) {
       JPanel panel = new JPanel();
       panel.add(label);

       pane.add(panel);
      
       JLabel instructionLabel = new JLabel("");
       panel.add(instructionLabel);
      
       JTextField textField = new JTextField("");
       panel.add(textField);
      
       JButton actionButton = new JButton("");
       panel.add(actionButton);
      
       JLabel resultField = new JLabel("");
       panel.add(resultField);

   }
}

class WindowRunnable implements Runnable {
   public void run() {
       ActionWindow.createAndShowGUI();
   }
}

In: Computer Science

Use Best Response Curve and Isocost Curve = Labor Discipline Model to analyze “game” between trucking...

Use Best Response Curve and Isocost Curve = Labor Discipline Model to analyze “game” between trucking companies and drivers.

Background: In the past drivers made by mileage between pick up and delivery points which gave drivers and incentive to maximize mileage, (i.e., drive from NYC to LA in two days in spite of safety rules limiting hours driven per day). Drivers previously recorded fake driving time data to show DOT, but now DOT requires Electronic Logging which operates while a truck is running and records miles and time. Electronic logging will reduce opportunity for drivers to maximize miles/income. Also, most drivers view time on the road away from home as work time. Trucking companies must bid against drivers opportunity costs of working elsewhere when unemployment is low.  

Questions:

Pay based on mileage is a form of piece rate. Why have trucking companies preferred mileage based compensation?

What has changed that makes companies considering moving to hourly compensation? How will firms monitor drivers work effort?

Use the labor discipline model to show the effect on trucking companies of low unemployment and a tight market for workers in other industries.  

In: Economics

Suppose an environmental agency would like to investigate the relationship between the engine size of​ sedans,...

Suppose an environmental agency would like to investigate the relationship between the engine size of​ sedans, x, and the miles per gallon​ (MPG), y, they get. The accompanying table shows the engine size in cubic liters and rated miles per gallon for a selection of sedans. The regression line for the data is Y hat=35.9500−3.8750x.

Use this information to complete the parts below

Engine Size   MPG
2.4 25
2.2 31
2.2 24
3.4 21
3.6 24
2.1 29
2.5 25
2.1 29
3.9 21

a) Calculate the coefficient of determination. R2=? (Round to three decimal places as​ needed.)

b) Using α=0.05​, test the significance of the population coefficient of determination.

Determine the null and alternative hypotheses.

c) The​ F-test statistic is? ​(Round to two decimal places as​ needed.)

d) the p-value is? ​(Round to three decimal places as​ needed.)

e) Construct a​ 95% confidence interval for the average MPG of a 2.5​-cubic liter engine.

UCL= ? ​(Round to two decimal places as​ needed.)

LCL= ​? (Round to two decimal places as​ needed.)

f) Construct a​ 95% prediction interval for the MPG of a 2.5​-cubic liter engine.

UPL= ? ​(Round to two decimal places as​ needed.)

LPL= ? ​(Round to two decimal places as​ needed.)

In: Statistics and Probability