b. Buyer’s Deliveries. At the Closing, the Buyer shall deliver to the Seller by certified check $11,000. Article 3 -- Seller’s Representations and Warranties The Seller represents and warrants to the Buyer as follows: 3.1 Miles. The Car has been driven 26,000 miles. 3.2 Paint.
11 Ford Mustang Case 7 Applied Managerial Statistics To determine the factors that affect Selling Price of Ford Mustangs, we need to select the independent factors or variables to test the hypothesis to see if these factors do have any affect on the selling price of Ford Mustangs cars. In this case I have selected nine Independent variables that we have used to study the relationship with selling price are (1) Whether the car is a convertible or not convertible (2) Transmission Type (3) Presence or absence of air conditioning (4) GT Model or not (5) Private owner or dealer owner (6) Age of car (7) Mileage (8) # of cylinders (9) Color. We want to start by conducting a hypothesis test to study the relationship of each independent variable with the selling price at the 0.05 significance level. To study the affect of the independent variable “CONVERT” on the selling price, we have set the following Null and Alternate Hypothesis. The null hypothesis tested is H0: The mean price does not depend on whether the car is a convertible.
Tom’s Used Mustangs Report Robert Davy GM533 Applied Managerial Statistics GM533 – Course Project February 16, 2011 Executive Summary I was hired to review the information collected by Tom of Tom’s Used Mustangs to determine what features if any affect the sales price of used Mustangs. The results of the tests will be used to more accurately create a competitive sales price for the cars on Tom’s lot, as well as provide assistance in developing a sales price for all future purchases and sales. After performing several statistical tests I have determined that there is evidence certain features do indeed affect the sales price. However, knowing that certain features have an effect on the sales price of the used Mustang, does not necessarily assist in determining what that sales price should be. The sections below will detail the
DISTRICT COURT STATE OF OHIO NO. CIV. 01-388 JANE WHITE Plaintiff, v. JEFFREY CAULKIN Defendant, v. SAGE RENT-A-CAR, INC. BRIEF IN SUPPORT OF MOTION TO DISMISS QUESTION PRESENTED Under Civil Rule 12(b)(6), Whether a self-insured lessor can still be liable for a lessee’s negligence in an automobile accident? STATEMENT OF CASE Our client, Sage Rent-A-Car, Inc. filed a surety bond with the Registrar of Motor Vehicles and is self-insured under R.C. 4509.72.
114-115; MI pp. 114-115] 3. How do you interpret the coefficient of the price elasticity of demand? Explain when Ed is 1.5, 0.7, and 1.0. The interpretation is based on the elasticity formula.
Compensatory damages attempt to compensate the non-breaching party for the loss of the bargain. To determine the amount of compensatory damages you have to determine the loss of value suffered as a result of the breach. Loss of value is measured differently according to what type of contract was breached. II. Brent enters into a contract to purchase a car from Slick Willy's Auto Sales.
The automobile industry uses advertisements and different persuasive techniques to sell their vehicle. This advertisement I chose by Ford targets the viewer’s conscience and subconscious mind and at the same time makes, the person want to buy one of their vehicles, the 2011 Ford F-150. This ad also has some rhetorical elements. When discussing the rhetorical triangle of the ad, the subject is the Ford F-150 – “The New 2011 F-150”. The speaker is the artwork and the words on the advertisement.
Make a copy of the Pledges worksheet, and then rename the copied worksheet as Q9. In the Q9 worksheet: a) Sort the filtered data by fund name in ascending (A to Z) order. b) Convert the table to a range. (Hint: When you convert your table to a normal range, the filter arrows in each column will disappear.) c) Filter the data to display only records with an amount received greater than zero.
Fin 360 Write Up Professor Ullrich Dec 6, 2013 After importing both tables consisting of data from the GXP Company and the S&P 500, I merged them to calculate and see if electricity price variation helps determine the stock price for those companies who operate in that market. I calculated the excess returns first by simply subtracting the risk free rate from both the S&P 500 return and the GXP return which produced the independent and dependent variables. I performed a linear regression with the excess return on GXP as the dependent variable and the excess return on the S&P 500 being the independent variable. After completing the regression it turns out that the excess return on the market explains very little of the excess return on the GXP stock with the r-squared being only 14.4%, which is the
ECMT 1010 Economics and Business Statistics A Assignment 1, 2010 Question 1: (a) Prepare a table showing relevant summary statistics for the fuel efficiency of all vehicles. Briefly discuss the relevant aspects of your findings. Table 1: Both Auto and Manual Models Fuel Efficiency (L/100km) Mean 7.632657498 Standard Error 0.170608732 Median 7.709114704 Mode 8 Standard Deviation 1.525970889 Sample Variance 2.328587155 Kurtosis -0.451538264 Skewness -0.001472956 Range 6.78524281 Minimum 4.71475719 Maximum 11.5 Sum 610.6125998 Count 80 As it can be seen in table 1, the mean of the fuel efficiency for auto and manual cars is 7.63 L/100km. The fuel efficiency for all cars can range between a minimum value of 4.71 L/100km and a maximum value of 11.50