Nigeria's free digital learning hub. Videos, lecture notes, practice questions and leaderboards aligned with CCMAS, NBTE, NCCE, WAEC, NECO, IJMB and JAMB curricula.
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Nigeria's free digital learning hub. Videos, lecture notes, practice questions and leaderboards aligned with CCMAS, NBTE, NCCE, WAEC, NECO, IJMB and JAMB curricula.
Probability and Inferential Statistics are closely related concepts that form the backbone of statistical reasoning. Probability provides a mathematical framework for quantifying uncertainty, helping us estimate the likelihood of events or outcomes. Building on this, Inferential Statistics uses probability theory to make generalizations or predictions about a population based on data collected from a sample. Key techniques include hypothesis testing, confidence intervals, and regression analysis, which allow researchers to draw conclusions, test assumptions, and estimate relationships between variables. Together, probability and inferential statistics enable decision-makers to move beyond mere description of data, toward evidence-based insights and predictions that account for uncertainty.
This lecture is part of CSC 104 FUNDAMENTALS OF DATA ANALYSIS in the Computer Science department. The course has 30 recorded lectures across 10 series, all free to watch.
