An introduction to statistics and data analysis in Maple including a general overview of statistics. Examples include:
- Importing data and simple data analysis, including showing Excel connectivity.
- Working with Matrix data sets
- Working with Random Variables and predefined distributions
- Sampling, Monte Carlo & Bootstrapping Techniques
- Creating custom distributions
- Visualizing data
- Hypothesis Testing
- Maximum likelihood estimation
- And more…
These examples were used in a webinar, Maple: Introduction to Statistics.
A recording of this webinar is available for viewing.