Basic Statistics Using STATGRAPHICS This module covers the
use of STATGRAPHICS in performing basic statistical methods.
Module length:
1 day
Outline:
One Sample
Analysis
Summary
Statistics
Frequency Tabulations
Frequency Histograms
Percentiles
Quantile Plot
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 Barcharts and Piecharts Crosstabulation Mosaic Plots and Skycharts Contingency Tables Tests for Association
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