More Information on Data Collection

If you have just collected the data, it is always a good idea to look first at the appropriate summary statistics for each variable in the file. For example, you may want to compute frequency distributions for all variables to identify outliers.

Usually, data are collected to test specific hypotheses or models concerning some variables. For example, we may want to find out whether men are more likely to agree with an item on a questionnaire than women. More complicated hypotheses may pertain to the nature of relationships between variables, for example, whether it is linear or nonlinear.

If you have no specific hypotheses, and the nature of the study is exploratory, you may want to use some techniques that are designed to help 'make sense' of the data, that is, to detect patterns, clusters, etc.

The fourth option (quality control/improvement) will guide you through the various techniques for industrial quality control, experimentation, and reliability analysis.

Typically, a corporation will want a software solution that can be implemented across the many levels of its enterprise. Dell offers a variety of Enterprise-wide software solutions, including Statistica Enterprise-wide System and Statistica Enterprise-wide SPC System.

The sixth option will lead you to a variety of topics which discuss the popular Data Mining and Data Warehousing concepts and how they can be implemented in Statistica.