
edXBridge abstract theory and practical application with a dual-track course in mathematics and statistics. The mathematics segment builds problem-solving methods applicable to economics and related fields, while statistics training emphasizes data interpretation through summaries, visualizations, and rigorous analysis. You'll move from foundational concepts to statistical inference—testing hypotheses about means and proportions, analyzing contingency tables—building the toolkit for evidence-based decision-making across disciplines.
To grasp key mathematical concepts, terminology, methods and conventions and obtain the skills to solve unseen mathematical problems ,To understand how mathematical techniques can be used to solve problems in economics and related subjects ,To master statistics fundamentals and learn to apply a variety of methods for explaining, summarising and presenting data and interpreting results clearly using appropriate diagrams, titles and labels when required ,To summarise the ideas of randomness and variability, and the way in which these link to probability theory to allow the systematic and logical collection of statistical techniques of great practical importance in many applied areas ,To explain the fundamentals of statistical inference and perform inference to test the significance of common measures such as means and proportions and conduct chi-squared tests of contingency tables
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