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GLM and Statistical Testing IllustratedExplores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.
GLM IIExplores GLM II, covering hypothesis testing, F-tests, multiple comparisons, and enriching the model to account for imaging artifacts.
Multi-factor ANOVAExplores Multi-factor ANOVA, analyzing variance explained by multiple factors and their interactions, providing practical hints on decomposing total sum of squares.
ANOVA & ModerationExplores ANOVA, moderation, and statistical analysis methods in digital education, emphasizing their significance in educational research.
Statistics essentials: ANOVACovers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
Model SelectionCovers model selection, emphasizing the tradeoff between complexity and error in data analysis.
From signal to observablesCompares gaseous, scintillator, and semiconductor detectors for radiation detection, emphasizing the importance of understanding uncertainties in measurements.
Data Wrangling and AnalysisCovers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.