6 ECTS credits
180 h study time
Offer 1 with catalog number 1023415ANR for all students in the 2nd semester at a (A) Bachelor - preliminary level.
This course provides an introduction to and foundation for statistical analysis.
This course also introduces use of statistical software (students can individually opt for either SPSS or R).
Topics covered in the lectures and WPOs:
Probability theory
• Combinatorics
• Probability models: simulation and theoretical
• Classical definition of probability versus frequential definition
• Basic rules of probability theory
o Summation theorem
o Conditional probabilty
o Product rule
o Bayes' rule
Stochastic variables
• Discrete
• Continuous (area under the curve)
Sampling distributions
• Sampling distributions for numbers and proportions
o Sampling with and without replacement
o Binomial distributions
o Normal approximation of binomial distribution
o Continuity correction
• Sampling distribution of sample means
o Expected value and standard deviation of sample means
o Central limit theorem
Introduction to Statistical Inference
• Reliable estimation
o Point estimates
- Maximum Likelihood
Pure and impure estimators
o Confidence intervals
o Determining a required sample size
• Significance tests
o z test
Statistical software:
Students choose either R or SPSS for themselves. Introduction to the software opted for largely consists of self-study using a instructive reader, supplemented with a number of classical exercises sessions and guided self-study (break-out rooms in the presence of a teacher).
Script or syntax-based data-analysis is instructed and required.
“Statistiek 1: syllabus van Prof. Jan De Neve, Universiteit Gent” (PDF will be available).
Apart from a very thorough knowledge of the theory, it is mainly expected that the student can independently apply the learned techniques to realistic data and use them to solve presented problems.
Explain examples of probability models
Apply the laws of probability
Explain a "sampling distribution"
Create and interpret confidence intervals
Explain and motivate the reasoning for significance tests
Performing and interpreting a z-test on sample means and reporting in APA style
The final grade is composed based on the following categories:
Written Exam determines 70% of the final mark.
Practical Exam determines 30% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Within the Practical Exam category, the following assignments need to be completed:
70% Written exam
30% Practical exam: software
If a student does not participate to both parts, the end grade will be an "absent".
This offer is part of the following study plans:
Bachelor of Psychology: Profile Profile Work and Organisational Psychology (only offered in Dutch)
Bachelor of Psychology: Initial track (only offered in Dutch)
Bachelor of Psychology: Profile Profile Clinical psychology (only offered in Dutch)
Bachelor of Psychology: Profile Profile Work & Organisational Psychology (only offered in Dutch)
Bachelor of Psychology: Profile Profile Clinical Psychology (only offered in Dutch)
Bridging Programme Master of Science in Psychology: Traject van 90 studiepunten met Profiel Arbeids- en Organisatiepsychologie (only offered in Dutch)
Bridging Programme Master of Science in Psychology: Profile Profile Clinical Psychology (only offered in Dutch)
Bridging Programme Master of Science in Psychology: Profile Profile Clinical Psychology (only offered in Dutch)
Bridging Programme Master of Science in Psychology: Profile Profile Work and Organisational Psychology (only offered in Dutch)
Bridging Programme Master of Teaching in Behavioural Sciences: Psychology (only offered in Dutch)
Preparatory Programme Master of Science in Psychology: Profile Profile Work and Organisational Psychology (only offered in Dutch)
Preparatory Programme Master of Science in Psychology: Profile Profile Clinical Psychology (only offered in Dutch)