Buy a Protection Plan or Not University of Phoenix QNT/561 September 23, 2009 Buy A Protection Plan or Not The decision to buy a protection plan or not creates a decision to make with probabilities. The purchase of widget’s and insurance policy helped to gather statistical data in a business context. Through analyzing the prices in the insurance fees and compensation this seems to create a business advantage and limitations reliant on the economy and resource availability. The economic influences potentially project estimated cost of future commitments and investments included in the business obligations, which tends to affect liquidity, capital, and resources. This paper will provide a business analysis using Bayes’ theorem, Business
Two or More sample Hypothesis Testing Paper Duane Lundberg, Grace Njane, Horace Chatman, Mimi Hodac RES 342 September 12, 2011 Dr. Whitehead Two or More Sample Testing Paper A one sample hypothesis is an important tool for any researcher because it gives them the opportunity to look at distributive properties of the selected sample population. A two or more sample hypothesis test however gives the researcher the chance to compare different aspects of the compared samples. According to Applied Statistics in Business and Economics (2007), "Two-sample tests compare two sample estimates with each other, whereas one-sample tests compare a sample estimate with a non-sample benchmark (a claim or prior belief about a population parameter). Using the two sample hypothesis testing method, the members of Learning Team B could apply the methods to the data set on real estate created by Lind, Marchal, and Wathen (2008), We have used this information to create a hypothesis and to test our hypothesis against the given data. Numerical and verbal hypothesis statement A hypothesis is a testable statement that will provide an explanation that includes a prediction based upon an observation and testing results.
An economic principle is that markets will act in rational ways. Given the rise and bust of the housing bubble, do you agree or disagree that consumers act rationally? Explain why or why not. Consumers act rationally because they hear something bad and assume that things won’t get better from there on out. That’s not the case, for every bad thing that happens, a good thing will arise, it may take a few tries until the good comes but it always does.
Jiggz Final Project 12 December 2011 Business 508 – Decision Science for Business Professor: Paul Fioramonti, M.S., Applied Mathematics REGRESSION MODEL TO PREDICT LOCAL HOUSING FAIR MARKET VALUE (OAK HARBOR, WA 98277) Purpose: | I decided to choose this subject to determine what kind of methodology is used by theCounty Treasurer in determining the fair market value of housing in the area for property tax purposes. Based from the last Property Tax Statement from the Country Treasurer, the house was assessed at a value of $339,596.00 for the current year 2011. Having gained knowledge of Regression Analysis, I would like to use this methodology to determine local housing fair market value using multiple regression analysis. | Overview: |
Client Understanding Paper ACC 541 August 27, 2012 Abstract This paper is intended to help a client understand why I, as a new Staff 1, am asking for information regarding the following topics: * Adjusting lower cost of market inventory on valuation * Capitalizing interest on building construction * Recording gain or loss on asset disposal * Adjusting goodwill for impairment An explanation of each topic is provided, along with specific examples of each and the potential effects each can have on financial reporting. Understanding their significance and how they impact those with a vested interest in a company’s financial picture is also described. Client Understanding Paper Client Memorandum August 26, 2012 To: XYZ Corporation Re: Clarification Regarding Analysis of Client Work Papers As a newly hired Staff I, with Alpha Accountants, I have taken over the responsibility of analyzing the work papers for your organization. In response to your recent questions, I would like to clarify the reason I am asking for information on the following topics: * Adjusting lower cost of market inventory on valuation * Capitalizing interest on building construction * Recording gain or loss on asset disposal * Adjusting goodwill for impairment
Economic Forecasting Melissa Reamer, Daniel Heintzelman & Marcia D. McCants ECO/372 October 16, 2014 Mrs. Jill Winnington Economic Forecasting Introduction In the business world, the number of factors that affect the proficiency of loss verses gain rest on how well statistics and actual data reflect in the economy. Businesses, both small and large, treasure the information found in key economic guides. Useful numeric guidelines; discovered during research, contribute to business planning for future projects and business proposals. Forecasting financial characteristics and the present state of the economy enable businesses to avoid both current and future profit loss. Historical Economic Data Resources Here, Team A has gathered a list of Economic indicators released by the Economic and Statistics Administration (ESA).
Strength of the Economy/ Marginal Cost and Marginal Benefits By Lisa Luckhardt ECO/212 8/10/14 Terry Blankenship Explain how the strength of the economy as a whole could affect the marginal benefits and the marginal costs associated with a decision to purchase a home. How does the removal of the tax deduction on mortgage interest affect the housing market? The strength of the economy as a whole could affect the marginal benefits and the marginal costs associated with a decision to purchase a home. Here's how it will work. When the economy is growing, a consumer may feel that the purchase of a house is a good decision to make, because it gives them exactly what they desired.
What you will learn in this Module: Module 8 Supply and Demand: Price Controls (Ceilings and Floors) Why Governments Control Prices You learned in Module 6 that a market moves to equilibrium—that is, the market price moves to the level at which the quantity supplied equals the quantity demanded. But this equilibrium price does not necessarily please either buyers or sellers. After all, buyers would always like to pay less if they could, and sometimes they can make a strong moral or political case that they should pay lower prices. For example, what if the equilibrium between supply and demand for apartments in a major city leads to rental rates that an average working person can’t afford? In that case, a government might well be under
Final Research Project RES/341 Final Research Project Using the real estate data set the team will identify a research problem, describe the problem, and provide a definition using quantifiable measures. The team will also identify the research hypothesis, the operational definitions for each variable, the levels of measurement as well as the scales for each variable. The next step involves a summary of the literature review, identifies the data collection and analysis process, and shows the associated calculations regarding the measure of central tendency, dispersion, and skew of the data. The last step consists of calculating and displaying the confidence intervals along with discussing the conclusions of the project. Problem
These factors can then either increase of decrease demand. THE HOUSING MARKET I will use the housing market to try and prove if different economic theories have elements of truth in it by looking at statistics and facts, or is it simply theoretical and unrealistic. THEORY ONE ---------- The first economic theory states that if real household income rises then demand for a good, therefore houses should increase. Although housing is seen more as a necessity, certain houses can also definitely be seen as luxurious. YEAR NUMBER OF HOUSES BOUGHT (000S) AVERAGE INCOME 1990 1400 11,184 1991 1300 12,103 1992 1128 12,824 1993 1191 13,405 1994 1279 13,863 1995 1311 15,636 1996 1243 16,519 1997 1440 17,713 1998 1347 19,057 1999 1470 19,641 2000 1499 Looking at the data we can nearly automatically see that the increase in income has as a result increased the demand for buying houses due to consumer confidence and spending.