424504 :Inleiding statistiek
(Introduction to Statistics (Dutch Program))

General info

Instruction language Dutch
Type of Instruction 14 x 2 uur theoretical lecture, 8 x 2 uur practical lecture and 3 x 2 hours of SPSS-practicum (attendance at practica is required) (Lecture schedule)
Type of exams Written exam (multiple choice questions) + a pass for the SPSS practicum (Examination schedule)
Course load:5 ECTS credits
Registration:Enroll via COMAP.
Blackboard InfoLink to Blackboard (When you see 'Guest are not allowed in this course', please login at Blackboard itself)


dr.ir. J. Mulder (Cursuscoördinator)

dr. N.K. Schuurman (Cursuscoördinator)
No photo available
S.J. Linskens BSc (Teaching Assistant)


The objectives of this course are aquiring knowledge and understanding of basic principles in inferential statistics and their practical utitlity, as far as relevant in psychology and the social and behavioural sciences. The course has the following goals:

  • Students should be able to compute and interpret commonly used descriptive statistics such as the sample mean, the median, the mode, de standard deviation, the stnadard error, the variance, de proportion, the correlation coefficient, and Cohen’s effect size.
  • Students should be able to recognize different probability distributions such as the normal distribution, the binomial distribution, and the hypergeometric distribution. Furtermore, students must be able to make computions for these probability distributions.
  • Students should be able to apply different statistical tests such as the Z-test, the one  and two sample t-test, the F-test for equality of variances, the ANOVA test, the one sample test for a correlation, and the chi-square test (e.g., goodness-of-fit, test for independence, McNemar test).
  • Students should be able to compute and interpret the p-value for a Z-test.
  • Students should be able to understand the relationship between different concepts such as type I and type II errors, one and two-sided hypotheses, the p-value, and the power of a test.
  • Students should be able to compute and interpret confidence intervals for different parameters such the population mean, the correlation, and the mean difference.
  • Students should be able to explain how different factors, such as the sample size, the degree of confidence, and the precision, influence a confidence interval.
  • Students should be able make power calculations for a Z-test and be able to explain how different factors influence the power of a test.
  • Students should be able to compute and interpret different association measures depending on the measurement level of the variables.
  • Students should be able to use the software package SPSS to perform several statistical data analyses and be able to interpret the output.


  • Descriptive statistics;
  • Normal distribution; standard scores;
  • Principles of probability laws;
  • Sampling distributions; Z and t distributions;
  • Hypothesis tests and confidence intervals for the mean, the difference between two means, and the correlation coefficient;
  • Hypothesis tests for difference between two variances;
  • ANOVA tests for multiple groups;
  • The power of a statistical test; determining the sample size;
  • Different measures of association;
  • Chi-square test for testing association;
  • Information on the use of SPSS and interpretation of the output.


This course includes an SPSS practicum of three meetings. The SPSS practica must be prepared and attendance at all for meetings is required. A pass for the SPSS practica is required to complete the course.
The SPSS practica need to be completed in the year in which one follows this course.

This course also includes 4 addition sub-test. These sub-tests are not mandatory. Instead, these sub-tests can be used to earn a bonus on the final grade. In total, 2 points can be earned with the 4 sub-tests (0.5 point per sub-test). The final grade will be computed as: final_grade = k + (10 - k)/10 x exam_grade, where k the total number of points earned with the sub-tests. De final grade will be rouned to the nearest half-valued grade with an exception for 5.5. If the final grade is smaller than a 5.5, the final grade will be rounded to a 5.0; if the final grade is larger than or equal to a 5.5, the final grade will rounded to a 6.0.

Compulsory Reading

  1. Hinkle, D. E., Wiersma, W. and Jurs, S.G., Applied Statistics for the Behavioral Sciences, Boston: Houghton Mifflin, 2003, 5de editie, ISBN 0-618-12405-5. Details of the text parts that have to be studied are given during the course.
  2. Pallant, Julie, SPSS Survival Manual, Open University Press, McGraw-Hill Education (5th ed.), 2013, ISBN 9780335262588. (Paperback)
  3. Dictaat MTO-B-PSY & MTO-B-MAW.

Compulsory for

  • Bachelor Psychology (Dutch Program) ( 2014, 2015, 2016, 2017 )
  • Bachelor Psychology and Health ( 2014, 2015 )
  • Bachelor Psychology and Society ( 2014, 2015 )
  • Major Work and Organizational Psychology ( 2016, 2017 )
  • Major Cognitive Neuropsychology (Dutch Program) ( 2016, 2017 )
  • Major Economic Psychology ( 2016, 2017 )
  • Major Forensic Psychology (Dutch Program) ( 2016, 2017 )
  • Major Clinical Psychology (Dutch Program) ( 2016, 2017 )
  • Major Medical Psychology (Dutch Program) ( 2016, 2017 )
  • Major Developmental Psychology and Lifespan Psychology (Dutch Program) ( 2016, 2017 )
  • Major Psychological Methods and Data Analysis ( 2016, 2017 )
  • Major Social Psychology ( 2016, 2017 )