Both objective and subjective data can be both qualitative and quantitative. Hence the types of statistics are categorised based on these features.

Burns And Bush Chapter 15

Factor analysis is a form of exploratory multivariate analysis that is used to either reduce the number of variables in a model or to detect relationships among variables.

Types of statistical analyses. The variable specified in the WEIGHT statement contains these counts. Types of Statistical Analyses This section illustrates by example the wide variety of categorical data analyses that PROC CATMOD provides. Descriptive and inferential statistics.

All variables involved in the factor analysis need to be interval and are assumed to be normally distributed. Based on the representation of data such as using pie charts bar graphs or tables we analyse and interpret it. Data analysis can be grouped into four main categories.

For each type of analysis a brief description of the statistical problem and the SAS statements to provide the analysis are given. In all these analyses. If there are no research questions that fit any of these types of statistical analyses you will need to decide on a new question before moving forward with the assignment.

For example you can observe objective a colour change qualitative and you can ask people to express their opinions on an issue subjective using a numerical scale quantitative. There may be fewer factors than variables but. The goal of the analysis is to try to identify factors which underlie the variables.

Initial Posting In your initial posting for this assignment include the following. Descriptive analysis diagnostic analysis predictive analysis and prescriptive analysis. In Maths Statistics is a method of interpreting analysing and summarising the data.

Identify an appropriate research question that would require the use of a one-way or repeated. For each analysis assume that the input data set consists of a set of cell counts from a contingency table.