Training Module:BASIC

Data Visualization Basics Using STATGRAPHICS

This module covers the use of STATGRAPHICS in performing methods for data analysis basics.

Module length for data analysis basics: 1 day

Outline:

One Sample Analysis

Summary Statistics
Frequency Tabulations
Frequency Histograms
Percentiles
Quantile Plot and Data Visualization Basics
Normal Probability Plot
Stem-and-Leaf Display
Box-and-Whisker Plot
Confidence Intervals
Hypothesis Tests
Testing for Outliers

Distribution Fitting

Tests for Normality
Selecting Alternative Distributions
Goodness-of-Fit Tests
Tail Areas
Critical Values
Transforming Data to Achieve Normality

Comparing Two Samples

Comparison of Standard Deviations
Comparison of Means
Comparison of Medians
Multiple Box-and-Whisker Plots
Quantile-Quantile Plots
Paired Sample Comparisons

Analysis of Attribute Data

Tabulation
Data Visualization Basics with Barcharts and Piecharts
Crosstabulation
Mosaic Plots and Skycharts
Contingency Tables
Tests for Association

Data Analysis Basics For Comparing Multiple Samples

Summary Statistics
ANOVA Table
Means Table
Means Plot
Multiple Range Tests
Variance Check
Residual Plots

Multifactor ANOVA

ANOVA Table
Means Plot
Interaction Plots
Multiple Comparison Procedures

Curve Fitting

Fitting a Straight Line
Plotting the Fitted Model
Regression Statistics
Lack-of-Fit Tests
Selecting a Nonlinear Model
Analyzing Residuals

Multiple Regression

Model Specification
Regression Analysis Table
Stepwise Variable Selection

Sample Size Determination

Estimating Means and Standard Deviations
Estimating Rates and Proportions
Comparing Two Samples
Comparing More than Two Samples
Power Curves