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MATLAB Tools for Scientists - Introduction to Statistical Analysis

Asawari Samant, MathWorks

Researchers and scientists have to commonly process, visualize and analyze large amounts of data to extract patterns, identify trends and relationships between variables, prove hypothesis, etc. A variety of statistical techniques are used in this data mining and analysis process. Using a realistic data from a clinical study, we will provide an overview of the statistical analysis and visualization capabilities in the MATLAB product family.

Highlights include:

•       Data management and organization
•       Data filtering and visualization
•       Descriptive statistics
•       Hypothesis testing and ANOVA
•       Regression analysis

View the MATLAB Code here:

About the Presenter: Asawari Samant is an Application Engineer at MathWorks. She has a B.S. and M.S. in chemical engineering. At MathWorks, she primarily supports the pharmaceutical and biotechnology industry, and the computational biology sector.

Product Focus

  • Statistics and Machine Learning Toolbox

Recorded: 19 Jan 2012