Fundamentals Of Statistics

Fundamentals Of Statistics

Unit 1 - Fundamentals of Statistics
Michelle Bailey-Motley
American InterContinental University

      Abstract
The purpose of this research paper is to examine data, analyze results and provide managers with insights that are beneficial to the company.   This study, completed on the American Intellectual Union population, will consider and provide information on Qualitative Data, Quantitative Data, Measures of Variability and Measures of Central Tendency.

Introduction
  Using Excel to compliment the analysis, specific information will be provided on the Qualitative and Quantitative Data in the study of job satisfaction as it pertains externally to the position.   Visuals as well as written report will be used to interpret the data.
Chosen Variables
  The Qualitative Data used in this research is from the Position category.   It was selected as a means for determining what classification of position the surveyed participants held within the population.   The Quantitative Data is derived from the extrinsic category.   The Extrinsic Category of Job Satisfaction will provide vital information as to the levels of satisfaction the participants have in relation to the external factors of the positions they hold.
Difference in variable types
  Variables can be classified as Qualitative or Quantitative.   Qualitative variables can be categorized; they have characteristics like gender or position.   Quantitative Variables are numerical; they can be ordered or ranked, i.e. age, height.
  In Quantitative Groups variables can be classified as Discrete (are countable), Continuous (derived from measurements).   There are four measurement scales used to classify variables: nominal, ordinal, interval and ratio.   The qualitative data in this research has nominal variables; there is no ranking order for classification.     The Quantitative data is ordinal; the variables can be ranked.

  Descriptive statistics: Qualitative variable
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Explanation of descriptive...