ABSTRACT
Quantitative analysis deals with data in the form of numbers and uses mathematical operations to investigate their properties. Some of the primary purposes of quantitative analysis are to: measure, make comparisons, examine relationships, make forecasts, test hypotheses, construct concepts and theories, explore, control, and explain. In order to manipulate the data, they should be compiled in an easily read form. Although the data will have been organized as part of the collection process, further compilation may be needed before analysis is possible. The two major classes of statistics are parametric and non-parametric statistics. A parameter of a population is a constant feature that it shares with other populations. The most common one is the bell or Gaussian curve of normal frequency distribution. Logistic regression is a development of multiple regression that has the added advantage of holding certain variables constant in order to assess the independent influence of key variables of interest.
