Measures of Central Tendency — Understand how to calculate and interpret the mean using practical data examples
Student’s t-Test — Learn to compare two sample means, test hypotheses, and interpret results with real data sets
Chi-square test — Explore how to analyze categorical data for significant differences, even with unequal sample sizes
Pearson and Spearman correlation coefficients — Discover how to measure relationships between variables, including when data are not normally distributed
Phi coefficient — Analyze associations in binary (yes/no) outcomes through fun behavioral experiments
Cluster analysis — Group and compare complex biological data using distance measures and dendrograms, learning how to identify patterns in multidimensional datasets