This unit provides foundational knowledge and skills for understanding, analysing, and interpreting data in psychology. It covers key concepts such as descriptive statistics (mean, median, standard deviation) for summarising data and inferential statistics (t-tests, ANOVA, correlation) for making generalisations about populations from samples. Students learn hypothesis testing, the importance of p-values, and the practical relevance of effect sizes and confidence intervals
Course Curriculum
Week 1: Introduction to Statistics and Data
Week 2: Descriptive Statistics
Week 3: Visual Representation of Data
Week 4: Probability and Normal Distribution
Week 5: Sampling and Experimental Design
Week 6: Introduction to Hypothesis Testing
Week 7: Introduction to t-Tests
Week 8: Introduction to ANOVA
Week 9: Correlation
Week 10: Non-Parametric Tests
Week 11: Reporting Statistics
Week 12: Review and Reflection