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 Course module: 202000756
 202000756Statistics
 Course info
Course module202000756
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Contact personJ.A. Wood
E-mailj.a.wood@utwente.nl
Lecturer(s)
 Lecturer dr.ir. G.C. Vreman - de Olde Examiner J.A. Wood Contactperson for the course J.A. Wood
Starting block
 2A
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
 Aims
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } Estimate mean, standard deviation and standard error for samples/populations Explain the different types of statistical errors, the difference between accuracy and precision and how error propagates through calculations Compute and understand the meaning of confidence and prediction intervals Explain the meaning behind p-values of significance and perform hypothesis tests Perform linear regressions in a least-squares sense and explain the link to hypothesis testing, matrix form of analysis, etc. Compute inverse errors in calibration curves Compute regression diagnostics for the suitability of a regression (Lack of Fit testing, Goodness of Fit, normal probability of residuals, coefficient of determination, etc.) Explain the difference between confidence intervals and joint confidence regions Perform multiple regression analysis, compute correlation of parameters, be familiar with the case of error in variables and understand the difference between correlation and causation Apply their learned knowledge to analysing nonlinear regression scenarios and how to fit literature data and interpret the meaning of the resulting fit and parameters
 Content
 body { font-size: 9pt; font-family: Arial } table { font-size: 9pt; font-family: Arial } The course â€˜Introduction to Statisticsâ€™ is a follow up on the statistics you learned during the practicals and will prepare you for the statistics you use in the first courses in your master (both tracks) and throughout your career. 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 and nonlinear regression. Emphasis is placed on practical implementation in MATLAB.
 Module
 Module 11
 Participating study
 Bachelor Chemical Science & Engineering
Required materials
Book
 Applied Statistics and Probability for Engineers by Montgomery and Runger, 7th edition (2014), ISBN13: 9781119585596
Recommended materials
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Instructional modes
Assignment
 Presence duty Yes

Tutorial
 Presence duty Yes

Tests
 Statistics
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