Descriptive Statistics Analysis Team A Wk 4

# Descriptive Statistics Analysis Team A Wk 4 - Descriptive...

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Descriptive statistics 1 Descriptive Statistics Analysis Team A: Mike, Misti, Glenn, & Justin July 22, 2010 RES 341 C. Mark Talbot University of Phoenix – North Florida

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Descriptive statistics 2 Descriptive Statistics Analysis This is a part III, and the conclusion, of Team A’s research on finding the best value of a home close to the city. In part I, this team identified the research problem and hypothesis, problem and operational definitions, and the overall purpose of the research: find the best value on a home close to the city. In part II, the team reviewed supporting literature, discussed the design of the sampling and data collection, and identified possible ethical concerns regarding the collection of data. The following will include a data analysis using descriptive statistics and a conclusion of this team’s findings. The descriptive statistics being analyzed and calculated are central tendency, dispersion, and skew. This data will then be displayed using graphical techniques. When calculating the measures of central tendency, dispersion, and skew, we must understand what this means. Central tendency is the average of a data set and is a measure of the middle or expected value of the data set. This will show how clustered the variables are. Central tendency of the data can be measured by the arithmetic mean , the median , and the mode . Statistical measures, such as standard deviation and range , are called measures of spread. They describe how spread out the data is (Sekaran, 2003, p. 396). Dispersion will measure the standard deviation and variance. This is often useful to describe a series of observations in interpreting the data. Small values of measures of dispersion mean that the data are clustered around the mean and the mean represents the data well. Large values of measures of dispersion mean that the mean may not represent the overall data well. Skew is the distribution of the data and it may tail off to the left or right of the median.
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