MATLAB Tools for Scientists - Introduction to Statistical Analysis - MATLAB
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    MATLAB Tools for Scientists - Introduction to Statistical Analysis

    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.

    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.

    Recorded: 19 Jan 2012

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