SAS Software


SAS Software Help

SAS Software (Statistical Analysis Systems) provides statisticians with a very powerful statistics software tool to research data at a very complex level of analysis. Using SAS Software, researchers have the ability to run large sets of data and reach very detailed results for the statistical studies being performed. Important functions of SAS software include performing ANOVA, linear and exponential modeling, and time series analysis.

We provide comprehensive SAS Software tutoring for statistics students including using SAS Software for the following statistical analysis:

  • Analysis of Covariance
  • ANOVA with Replication
  • ANOVA without Replication
  • Bar Charts
  • Bayesian Estimation
  • Boxplots
  • Chi-Square Test
  • Cluster Analysis
  • Comparing Means
  • Correlation Analysis
  • Creating Graphs
  • Creating New Variables
  • Cross Tabulation
  • Decision Management
  • Decision Trees
  • Descriptive Statistics
  • Evaluating Quantitative Data
  • Exponential Modeling
  • Factor Analysis
  • Forecasting
  • Frequency Tables
  • Goodness of Fit Test
  • Graphing Statistical Results
  • Hypothesis Testing
  • Logistic Analysis
  • Mean Bars
  • Mean Comparison Test
  • Multiple Binary Logistic Analysis
  • Multiple Independent Samples
  • Multiple Linear Regression
  • Non-Parametric Analysis
  • One Factor ANOVA
  • One Sample T-Test
  • One Way Frequency Tables
  • Paired Testing
  • Paired T-Test
  • Pearson Test
  • Pie Charts
  • Pooling
  • P-Values
  • Residual Analysis
  • SAS Color Choices
  • SAS Data Sets
  • SAS Fonts
  • SAS Functions
  • SAS Line Styles
  • SAS Macros
  • SAS Plotting Symbols
  • Scatter Plots
  • Simple Linear Regression
  • Sorting Data
  • Spearman Correlation Test
  • Statement Syntax
  • Statistical Analysis
  • Subsetting Data Sets
  • Tabular Reports
  • Time Series Analysis
  • Transposing Data Sets
  • Trends
  • T-Test
  • Two Factor ANOVA
  • Two Independent Samples
  • Two Sample T-Test
  • Two Way Frequency Tables
  • Univariate