30J115 :Statistics and Data Management 1


Voertaal Engels
Werkvorm: Lectures, instruction lectures and tutorials (Collegerooster)
Tentamenvorm: 3 Tests and a team assignment (TA). More information about the theory that will be assessed during these tests, the particular weights of each test as well as the exact examination rules for both regular students and repeaters will be announced via Blackboard at the start of the course. (Tentamenrooster)
Studielast:6 ECTS credits
Inschrijving:Via Blackboard
Blackboard informatieLink to Blackboard (Als u de melding 'Guest are not allowed in this course' krijgt, dient u nog bij Blackboard in te loggen)


dr. M. Quant (Coordinator)

prof. dr. A.H.O. van Soest

dr. G. Gurkan

dr. B.M. Siflinger

Doel van de cursus (alleen in het Engels beschikbaar)

The objectives of the course are to introduce students to probability theory, descriptive statistics and inferential statistics. After the course, students have acquired knowledge about probabilities, commonly used probability distributions, statistical parameters as expectation and variance, random samples and they can perform calculations relating to these notions. They can summarize data and use data to estimate parameters, to create confidence intervals and to perform hypothesis tests. Furthermore, they have the knowledge to interpret the corresponding results. They also show some basic abilities in the field of IT, especially Excel.

Relation with other courses

The methods and techniques learned in this course will be applied in many other courses. We specifically mention Statistics and Data Management 2 (which uses this course as a starting point and develops regression theory), Marketing Management for IBA (as part of developing the research plan and analyzing the data).

Inhoud van de cursus (alleen in het Engels beschikbaar)

This course provides a statistical basis that can be used in other course both in the first year and in later years of the study programme. The topics concern the following subjects:

  • Probability theory (the classical definition of probability, probability rules)
  • Random variables, probability distributions, probability density functions
  • Expectation, variance, standard deviation, covariance, correlation
  • Sampling theory
  • Descriptive statistics: population and sample statistics, graphs;
  • Estimation, confidence intervals and hypothesis testing.

Verplichte literatuur

  1. G. Nieuwenhuis, Statistical Methods for Business and Economics, McGraw-Hill, 2009. Manual on Excel (in Blackboard)
  2. Manual on Excel (in Blackboard)

Verplicht voor

  • BSc International Business Administration ( 2016, 2017 )