Welcome to
SABLE, Virginia Tech's
Statistics Activity-Based Learning Environment for integrating
statistics education into the Social Sciences curricula. The Learning
Environment consists of interactive tutorials in which
the student completes tasks that lead to an understanding of statistics principles and
their application to social sciences data. Each tutorial employs visualizations of data
and relationships and also allows the student to download and interact with data sets
collected in the General Social Survey and others. The Learning Environment experience
culminates in the student's use of the visualizations to analyze and draw conclusions
from real data.
Note: To use these tutorials, you must have installed SUN's Java
Plugin for your web browser.
About the SABLE
project at Virginia
Tech, supported by FIPSE
All files, sofware, and tutorials that make up SABLE are Copyright (c) 1997 1998
1999 Virginia Tech. You may use these programs under the conditions of the
SABLE General License, which
incorporates the
GNU GENERAL PUBLIC LICENSE.
Click the for an overview of topics covered.
Introduction
Foundations
Making Decisions
Examining More Than One Variable
(*) Denotes an Interactive Exercise
How to Use SABLE
Instructions for Using the SABLE Tutorials
Measurement Scales in Social Sciences Reseach
Introduction
Nominal Data
Ordinal Data
Interval Data
Ratio Data
Measures of Central Tendency: Mean, Median, and Mode
Introduction
The Frequency Histogram
Central Tendency
Ways to Measure Central Tendency *
Mean
Median
Mode
Which Measure Should You Use? *
Skewness ***
Sampling
Introduction
How can samples reveal information about a population? *
Sample characteristics
Randomness & representativeness *
Sampling Protocols
Central Limit Theorem
Stratification *
Measures of Dispersion: Departures from Central Tendency
Introduction
Range *
Percentiles & Related Characteristics **
Variance & Standard Deviation
Comparison of Range, Quartiles, and Standard Deviations
Standard Distribution Scores, or "Z-scores" **
Measures of Dispersion: Departures from Normal Distribution
The Normal Distribution
Non-Normal Distributions
Hypothesis Testing
Hypotheses about Populations
Sampling and Testing Hypotheses **
Type I Errors
Type II Errors
Sampling Distributions
Standard Error
Confidence Interval
Critical Value
Statistical Significance
Null Hypothesis
Alternative Hypothesis
Non-directional Alternative Hypothesis
The Researcher's Dilemma
Fail to Reject
T-Distributions
Estimating Standard Error
Relationship Between the T-Distribution and the Normal Distribution
Single Sample T-Test
Independent Sample T-Test
Paired T-Test
Using the T-Statistic to Compare Regression Coefficients
Analysis of Variance
Sources of Variation *
Total Variation
Variation Within Groups
Variation Between Groups
Analysis of Variance Table *
Ratios Between SSs *
The F-ratio and the F-distribution *
One-Way Analysis of Variance (recap)
Two-way Analysis of Variance *
Recap and Summary
Cross Tabulations
Correlation & Covariance
Correlation *
Units of Analysis in Frequency Distributions *
Correlation and Standardized Distribution Scores *
Correlation vs. Causation
Correlation & Coefficient of Determination *
Covariance *
Linear Regression
Relating Variables **
Predicting Values for Variables *
Assumptions of Regression Analysis *
Multiple Regression
This page last updated 07/07/2006.
Feedback? Email shaffer AT cs DOT vt DOT edu!