The student can:
- apply basic statistical analysis on experimental data, such as linear regression, multiple regression, correlation, nonlinear regression.
- explain and apply the basics of probability theory and distributions.
- apply statistical methods to analyze data.
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The course 'Data, Statistics and Probability for Engineers' is a follow up on the statistics you learned during the practicals. Important topics that will be covered include: population and sample statistics, propagation of errors, hypothesis testing and analysis of variance, linear regression, regression diagnostics, multiple regression analysis, transformation of experimental data, nonlinear regression, correlation, machinelearning and reliability. Emphasis is placed on practical implementation in MATLAB.
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