
After this course the student can apply a variety of statistical techniques, e.g. on results of a user`s survey, use SPSS properly and understand the meaning of statistical statements in papers.


Based on “Statistics” in M4, the Statistical Techniques course extends the knowledge of more advanced statistical techniques. We will repeat and extend the basic topics Descriptive statistics, Confidence intervals and Testing of hypotheses for onesampleproblems: e.g., measures as skewness and kurtosis and the binomial test for small and large samples are added to the repertoire. Apart from applying the techniques correctly, we will focus on understanding: what is the meaning of the confidence level 95% of an interval and what do concepts as significance level, pvalue and the power of a test mean?
Additionally we will extend our techniques to twosampleproblems and cross tables. Assessing the assumption of a normal distribution with numerical and graphical methods, such as QQplots, is completed with a test on normality. For the case that the normal distribution does not apply we will discuss two 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 knowledgeWe expect students to be able to apply the basic rules of probability and methods of statistics, as taught in the basic statistics course in Module 4. 
Bachelor Creative Technology 
  Required materialsReaderReader Statistical Techniques (Unionshop: 621) 

 Recommended materialsBookJames T. McClave and Terry Sincich. Statistics (12th edition). Pearson, 2012. ISBN 10: 1292022655 or ISBN 13: 9781292022659 

 Instructional modesTestsWritten test


 