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Data Collection Team A week 3

Data Collection Team A week 3 - Data collection 1 Data...

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Data collection 1 Data Collection Team A: Misti, Glenn, Justin, Mike RES341 – C. Mark Talbot Thursday, July 15, 2010 University of Phoenix – North Florida
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Data collection 2 Data Collection Real Estate prices in the United States are continuing to fall, which means that this is a buyer’s market. Families are searching for the best deals and with gas prices rising, are possibly looking for a home closer to their workplace. Team A will use the data provided in the Real Estate Data Sheet to identify the best price on a home closest to the city. This will help to determine if the home is a better value. This paper will discuss the problem and its importance, identify a few questions and hypothesis, and discuss steps to complete this study. Following this will be a literature review of four articles, a discussion of the sampling design, data collection, and possible ethical concerns of data collection. Background The purpose of this research is help to find not necessarily the lowest price home, but the best value on a home. This will include price per square footage, number of bedrooms, and distance to the city. This will be a hypotheses study. A hypotheses study is a study that engages in hypotheses testing, usually explaining the nature of certain relationships, or establishing the differences among groups or the independence of two or more factors in a situation (Sekaran, 2003). The research problem will be to find the best home value closest to the city. Team A will use the Real Estate Data sheet to solve the problem of finding the best home value. Answering the problem will help potential homebuyers to make an informed decision.
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Data collection 3 The problem in the best deal scenario is a variety of different aspects one may experience when deciding whether to purchase or rent a new home. In this scenario, the purchaser will view a verity of homes based on three basic aspects including the value of the home, distance from the city, weather the residence is for sale or rent and the size of the home. When purchasing or renting a home, the customer will need to first view the various homes, prices and locations. The value will be based on what the consumer is looking for when buying or renting a home, if the customer can afford the home based on the debit to income ratio. Next, the consumer will need to consider the distance from the home in question to the city. The customer will need to make sure the potential home is close to the city that is where the client’s place of employment is located as well as various shopping locations including grocery stores, clothing stores, banks, factories, as well as other shopping, entertainment and employment opportunities. Finally, the client will need to consider size of the home that may be purchased.
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