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Environmental Statistics
Use statistical methods to analyse environmental data and support decision-making.
Topics
Exam‑style questions with instant feedback.
Section 1: Introduction
Section 2: Descriptive Statistics
Section 3: Probability Fundamentals
Section 4: Key Distributions
Section 5: Sampling Methods
Section 6: Estimation Theory
Section 7: Hypothesis Testing Basics
Section 8: Common Tests
Section 9: ANOVA
Section 10: Correlation
Section 11: Regression Analysis
Section 12: Non-Parametric Methods
Section 13: Time Series
Section 14: Spatial Statistics
Section 15: Experimental Design
Section 16: Multivariate Techniques
Section 17: Specialized Models
What you’ll achieve
Understand probability, descriptive statistics, and hypothesis testing.
Apply regression and multivariate analysis to environmental data.
Analyse trends and patterns in ecological and climate datasets.
Use statistical tools to support environmental management and decision-making.
Develop critical thinking and problem-solving skills for real-world environmental analysis.
Course overview
Everything you need to excel in Environmental Statistics
Environmental Statistics introduces the principles and techniques for analysing data related to environmental systems and processes. Students learn probability, descriptive statistics, hypothesis testing, regression, and multivariate analysis, with applications in ecology, climate science, and resource management. The course emphasises data interpretation, modelling, and practical problem-solving. By integrating theory with real-world environmental datasets, learners develop the skills to assess trends, identify patterns, and support evidence-based environmental decision-making.
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