This course provides an introduction into descriptive and inferential statistical analysis and hypothesis testing applied to psychological research data.

Specific Contents

  • Test theory, hypothesis testing, Type 1 and Type 2 error
  • Frequency distribution, mean, mode, median, standard deviation
  • Variance, normal distribution, normal distribution with hypothesis testing
  • Sampling distribution of means
  • Correlation techniques, simple regression

Learning Goals

The course aims to motivate in students an intrinsic interest in statistical thinking, instill the belief that Statistics is important for scientific research, and provide a foundation and motivation for exposure to statistical ideas subsequent to the course.

Students will be able to

  • Demonstrate the ability to apply fundamental concepts in exploratory data analysis.
  • Design studies for obtaining data whilst avoiding common design flaws that incur bias, inefficiency and
  • Demonstrate an understanding of the basic concepts of probability and random variables.
  • Understand the concept of the sampling distribution of a statistic, and in particular describe the behavior of the sample mean.
  • Understand the foundations for classical inference involving confidence intervals and hypothesis testing.
  • Apply inferential methods relating to the means of Normal distributions.
  • Apply and interpret basic summary and modelling techniques for bivariate data and use inferential methods in the context of simple linear models with Normally distributed errors.
  • Demonstrate an appreciation of one-way analysis of variance, i. e. ANOVA.

Academic Assessment

Written exam with a duration of 60 minutes.