Data Analysis involves the use of descriptive and inferential statistical procedures which describe the current data and/or are used to understand key variables/relationships that help explain why something happened. The specific procedure(s) used is determined by the type of data, the question(s) asked, the statistical hypothesis to be tested, and the type of sampling plan. While there are many statistical procedures that can be used for data analysis, all have assumptions that must be satisfied to achieve a reliable analysis and subsequent interpretation of the data.
Gliem and Gliem are familiar with and can provide many types of statistical procedures. We use both univariate and multivariate statistical procedures to answer your business/organization’s question(s) and/or for testing proposed hypothesis. Customer or market segmentation techniques are also available. Many of the statistical analysis procedures provide statistical graphs for a visual perspective of the data being analyzed.