**Descriptive **

Classic descriptive parameters generate for
each variable :

Tables

1. Number of observations,

2. Mean, Median, Mode,

3. Standard Deviation, Sample Variance, Standard
Error,

4. Lower and upper X% Confidence Limit of
the Mean,

5. Kurtosis, Skewness,

6. Range, Minimum,Maximum

Charts

1. Frequency distribution chart for observed
values

2. Predicted normal distribution for observed
values

3. Box Plots

**Shapiro-Wilks Test
for Normality**

A powerful test used to determine the degree
of normality of a single sample. Most commonly
used as a precursor test to those Parametric
tests that require normally distribute data.

**CrossTables**

CrossTables is used to expose relationship
patterns in categorical data between two or
more variables. In its simplest form a two
by two table counts the occurrences of each
category in variable one that also occur in
each category of variable two.

Can test up to 5 variables with 1 Column
X 1 row and up to 3 additional nested rows
(layers).

Able to exclude unwanted categories in a
variable either fixed or on the fly at analysis
time.

Tables

1. Actual observed counts are displayed
along with the Expected counts

2. Chi squared statistic

**Database Tools**

User can ascribe alphanumeric labels to individual
categories in each variable. For example 0
and 1 can have labels Day and Night.

User interface allows the auto-coding of
the entire worksheet database or individual
edits of a single variable on a worksheet
database.

Used in categorical data analysis such as
CrossTables, see below