MTH216 Probability and Statistics
Probability and Statistics notes
2 chapter notes, in syllabus order. Each starts with the key points.
Unit 1
Descriptive Statistics · note coming
Unit 2
Probability Basics, Events, Axioms & RulesUnit 2 of Probability and Statistics covers the foundational concepts of probability: sample spaces, events, axioms of probability, conditional probability, independent events, Bayes’ theorem, and combinatorial methods. This note explains each with definitions, visuals, and real-world applications from Nepalese tech co9 min readUnit 3
Random Variables · note coming
Unit 4
Discrete Probability Distributions · note coming
Unit 5
Continuous Probability Distributions · note coming
Unit 6
Sampling Distributions · note coming
Unit 7
Estimation · note coming
Unit 8
Hypothesis Testing: Types, Tests & Decision RulesUnit 8 of Probability and Statistics covers hypothesis testing—how to make data-driven decisions by comparing sample data to assumptions (null/alternative hypotheses), calculating test statistics, and determining significance using p-values or critical values.9 min readUnit 9
Correlation and Regression · note coming
Unit 10
Analysis of Variance · note coming