Business Research Method 1
QNT/561 Applied Business Research and Statistics
Business Research Methods I
November 8, 2010
Table of Content
❖ Introduction
❖ Research Problem
❖ Purpose of the Research
❖ Research Questions
❖ Research Hypothesis
❖ Outcome of the Research
❖ Variables
❖ Variable to be Tested
❖ Measurements of the Variables
❖ Measurement Scale for Each Variable
❖ Conclusion
Business Research Methods 1
Learning Team C has selected the real estate data set from the textbook, “Statistical Techniques in Business & Economics” by Lind, Marchal and, Mason. This textbook covers 106 sales price and various key property characteristics. The dependent variable is house price measured in thousands. For example, Selling Price (In Thousands), Number of bedrooms, Size of the home in square feet, Pool, Distance from the center of the city in miles, Township, Garage attached, and Number of bathrooms. This paper will explain special research matter or problem, definition of selected data using quantifiable measures. This paper will also detail the steps that address a resolution of selected issue, for instance purpose of the research, research problem, and why research problem is that important? Research hypothesis, possible outcomes resulted from this research, operational definitions for each variables and measurement scales.
Research problem
One of the problems that Learning Team has notice while doing research is that the houses selling prices that customers have to pay are not in conformance to the facilities provided. There should be amplitude between selling prices and the facilities in those houses and customers should be satisfied completely for the amount they pay. If there is any difference in the prices of the houses, it has to be strong reason. For example, from the data provided, the price of one house is 242.1 (in thousands) and has only three bedrooms in 2300 square
Business Research Methods I
November 8, 2010
Table of Content
❖ Introduction
❖ Research Problem
❖ Purpose of the Research
❖ Research Questions
❖ Research Hypothesis
❖ Outcome of the Research
❖ Variables
❖ Variable to be Tested
❖ Measurements of the Variables
❖ Measurement Scale for Each Variable
❖ Conclusion
Business Research Methods 1
Learning Team C has selected the real estate data set from the textbook, “Statistical Techniques in Business & Economics” by Lind, Marchal and, Mason. This textbook covers 106 sales price and various key property characteristics. The dependent variable is house price measured in thousands. For example, Selling Price (In Thousands), Number of bedrooms, Size of the home in square feet, Pool, Distance from the center of the city in miles, Township, Garage attached, and Number of bathrooms. This paper will explain special research matter or problem, definition of selected data using quantifiable measures. This paper will also detail the steps that address a resolution of selected issue, for instance purpose of the research, research problem, and why research problem is that important? Research hypothesis, possible outcomes resulted from this research, operational definitions for each variables and measurement scales.
Research problem
One of the problems that Learning Team has notice while doing research is that the houses selling prices that customers have to pay are not in conformance to the facilities provided. There should be amplitude between selling prices and the facilities in those houses and customers should be satisfied completely for the amount they pay. If there is any difference in the prices of the houses, it has to be strong reason. For example, from the data provided, the price of one house is 242.1 (in thousands) and has only three bedrooms in 2300 square
References: Lester, J.D. (2005). Research Paper Handbook: Your Complete Guide (3rd edition). U.S.: Good Year Books Educational Publishers. Real Estate Business (2008). Retrieved November 5, 2010 from http://realestate.about.com/ Rowland, D.T. (1959). Urban Real Estate Research. Washington: Urban land institute