Unit 1 - Fundamentals of Statistics
Awilda Luciano
American InterContinental University

Abstract
This report will show how data is analyzed by using measures of central tendency and will include the mean, median, and mode. These are various ways to report averages. In addition will also discuss the ranges of results and how they are dispersed. This is call variance or standard deviation (Bluman, 2010).

Introduction Researchers in the United States and around the world are to study job satisfaction that will provide insight into employee behavior and attitudes toward their overall job satisfaction. They will take into consideration intrinsic and extrinsic values, and benefits. This will ultimately determine in which areas are in need of more dedication to strengthen the firm’s bottom line.
Chosen Variables For this study we would use the qualitative variable of position and the quantitative variable being intrinsic. It would be interesting to see if hourly employees, who are offered overtime are more or less satisfied with the work they do as opposed to employees who do not work overtime.
Difference in variable types Qualitative variables are numbers used to categorize the variables. They do not provide numeric value. More so it is used to code, for example in a legend (key) on a data spreadsheet they have categorized males as 1, and females as 2. Therefore in the chart column labeled gender each “1” indicate one male and the same is true for females, each “2” indicate also one female. To report the descriptive statistics we will only use mode. Mode is a value occurring most in a data set. All other modes are not applicable because categorical values such as gender cannot be averaged (Bluman, 2010). Quantitative variables are figures that can be measured, counted and/or ranked. In other words, they provide a numeric value. For