
After passing this course, students:
 can generate and interpret descriptive statistics, both numerically and graphically
 know elementary probability theory and can apply this theory to model problems and compute (conditional) probabilities as well as expectations and variance of random variables
 recognize which probability distribution (Bernoulli, binomial, uniform, normal, exponential) to apply in practical situations
 are able to give estimates and confidence intervals for unknown population means or population proportions, and
 can apply hypothesis testing for onesampleproblems under normal distributions.


The main study content consists of:
 Statistical experiments, sample spaces and probability,
 combinatorial probability,
 conditional probability and independence,
 discrete random variables,
 continuous random variables,
 waiting times,
 descriptive statistics,
 estimation,
 confidence intervals,
 hypothesis tests,
 two sample problems,
 Chisquare tests, and lastly
 choice of model and nonparametric methods.
Manual enrollment via Osiris is only for Creative Technology students. If you want to enroll, please contact K. Zalewska (k.zalewskakurek@utwente.nl).



 Assumed previous knowledgeBachelor Creative Technology 
  Required materialsCourse materialProbability Theory for Engineers (on Canvas) 
 Course materialStatistics for Engineers (on Canvas) 

 Recommended materialsCourse materialA calculator (not graphical/programmable) is recommended. Recommended calculator: Casio fx82MS 

 Instructional modesTestsTests


 