Analysis Types

The Total Access Statistics features are organized into analysis type categories:

Parametric Analysis

Parametric analysis is performed on numeric fields that are assumed to be continuous and normally distributed. Fields can be analyzed individually or compared with each other. Examples include field descriptives, correlations, percentiles, regressions, running totals, frequency distributions, and crosstabs.

Group Analysis

Group analysis is the comparison of continuous, normally distributed numeric data between groups of records. A comparison field in the table defines the groups. For instance, you may want to compare data by gender or by race. Unlike the Compare feature in Describe, which is for paired values, these groups are usually of different sizes (number of records). Two Sample t-Tests, ANOVA, and Two Way ANOVA are available.

Non-Parametric Analysis

Less powerful than parametric analysis, non-parametric analysis is used when the underlying data is not continuous, such as data that is ordinal or not normally distributed. Non-parametric analysis makes no assumption on the distribution of the underlying data, since the results are based on the ranks of the data.

Record Analysis

Unlike other analysis types, Record Analysis features generate results that manipulate your data. With options to update your existing records or create new records similar to your data source, Record Analysis helps you manage your records. Normalization converts data from columns into records.

Financial Cash Flow Analysis

Use discounted cash flows to generate Net Present Value (NPV), Present Value (FV), Future Value (FV), Internal Rate of Return (IRR), Modified Internal Rate of Return (MIRR) for periodic and date dependent payments and receipts.