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

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