The course “Data Analysis in Biosciences” introduces students to the fundamental statistical methods used in biological research. It focuses on understanding how to collect, analyze, and interpret experimental data to draw meaningful scientific conclusions.
The course is structured around three main modules:
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Estimation – Students learn how to estimate population parameters using sample data. This includes concepts of point estimation, interval estimation (confidence intervals), and the properties of estimators such as bias, efficiency, and consistency.
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Hypothesis Testing – This module covers the principles and procedures for testing statistical hypotheses. It introduces null and alternative hypotheses, types of errors, significance levels, p-values, and tests for means and proportions. Applications in biological experiments are emphasized.
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One-Way ANOVA (Analysis of Variance) – Students are introduced to the analysis of variance technique used to compare the means of more than two groups. The module explains the logic of ANOVA, assumptions of the model, the F-test, and interpretation of results in biological contexts.
By the end of the course, students will be able to apply these statistical tools to analyze real biological data, interpret results critically, and communicate findings effectively.
- منشئ المقرر: Hanane Ben Gherbal