Faculteit  Science and Engineering 
Jaar  2018/19 
Vakcode  WISTATBK12 
Vaknaam  Statistics and Stochastics 
Niveau(s)  propedeuse 
Voertaal  Engels 
Periode  semester II b 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Statistics and Stochastics  
Leerdoelen  The aim of the course is that • the students learn to reason from a probabilistic point of view; • the students learn how to implement a statistical test to solve problems in a businessengineering environment. The student is able 1) to formulate a business problem into a stochastic framework; 2) to apply appropriate statistical distributions in an engineering business environment; 3) to interpret data from an applied problem in terms of descriptive statistics and/or visualizations; 4) to determine a confidence interval in a context of statistical estimation; 5) to choose, apply and evaluate outcomes from an appropriate statistical test given available data. 

Omschrijving  Basic probabilistic thinking underlies many important decision making procedures in engineering and business settings. It provides the basis describing various business processes, such as product quality, for which important predictions of future behavior are possible. It also underlies testing hypothesis about product quality or its improvement. The simple linear model makes it possible to predict future outcomes of a response quantity given measurements on a predictor variable. All concepts will be illustrated by examples from engineering. This course covers the following themes:  Definition of probability and conditional probability  Expectation and Variance  Random variable, discrete, continuous  Joint probability distribution  Point estimators, Confidence interval  Statistical test on single or mores samples 

Uren per week  
Onderwijsvorm 
Bijeenkomst (S)
(Total hours of lectures: 28 hours, practicals: 14 hours, home work: 70 hours, selfstudy: 28 hours) 

Toetsvorm 
Opdracht (AST), Schriftelijk tentamen (WE)
(six assigned homework sets and written exam) 

Vaksoort  propedeuse  
Verplichte literatuur 


Entreevoorwaarden  The course unit assumes no prior knowledge acquired from any course unit(s), degree programme(s).  
Opmerkingen  Two assignments count for 15 percent each and the exam for 70 percent of the final mark, if the assignment marks are larger than that for the exam. If the exam mark is lower than 5.5, then this is taken as the final mark. Assignments are incentive to increase the mark, but these are not obliged. It is possible to pass the course with a perfect mark without completion of assignments.  
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