---
title: Data Visualization Basics | Data Analysis Basics | Statgraphics
description: Learn data analysis basics with information & resources from Statgraphics. These training modules teach the data visualization basics needed for our software!
---

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### New Module

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# 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

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