1. Descriptive Statistics & Data Basics
- Data Classification & Collection: Tabulating qualitative and quantitative biological data.
- Graphical Presentation: Using histograms, frequency polygons, and pie charts to visualize distributions.
- Central Tendency & Dispersion: Calculating means, medians, modes, standard deviations, and variance from biological samples.
2. Probability & Distributions
- Foundational Probability: Rules of addition and multiplication applied to genetic traits or population variations.
- Theoretical Distributions: Introduction to Binomial, Poisson, and Normal distributions in natural phenomena.
3. Hypothesis Testing & Inferential Statistics
- Parametric Tests: Applying Student’s t-test (paired and unpaired) and Z-tests to compare sample means.
- Chi-Square (χ²) Test: Testing goodness of fit and independence of attributes in genetic crosses or ecological traits.
- ANOVA (Analysis of Variance): Comparing variations across three or more biological groups.
4. Correlation, Regression & Experimental Design
- Linear Correlation: Calculating Pearson’s and Spearman’s rank correlation coefficients to assess variable relationships.
- Regression Analysis: Constructing best-fit lines to predict dependent biological responses.
- Principles of Design: Introducing randomization, replication, and local control setup in lab or field experiments.
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