Mathematical Study guides, Class notes & Summaries

Digitally summarised notes for Mathematical Statistics 214 at Stellenbosch University for the A1: includes descriptive and exploratory statistics, chapter 3/4, chapter 5 and chapter 6, chapter 7, chapter 8 and chapter 10. These notes are very properly summarised, including all examples done in class. They should help a lot in the learning process. The notes include all the work needed for A1, A2 and A3.

These notes are in a pdf format. - colour coded - step-by-step examples for each topic The notes cover the topic: Antiderivatives, Mathematical Induction, Binomial theorem, Definite integral & Riemann sums

These notes cover the first half of the syllabus for the Mathematical Statistics 214 module at Stellenbosch university. The notes include all theory from textbook and lectures as well as worked examples for each section.

These notes cover the second half of the mathematical statistics 214 module syllabus. The notes include theory from textbook and lectures as well as worked examples for each section.

A comprehensive summary of all the theory (theorems, proofs and explanations) of the Mathematical Statistics 214 module. This includes topics, such as location, spread, kurtosis, continuous random variables, distributions (incl. expected values, variance, mgf), Chebyshev, multivariate probability distributions, functions of random variables, hypothesis testing, p-values, confidence intervals, transformations, sampling distributions, inference, estimation and CLT. A brief summary of vital formul...

Aesthetic digital concise summaries of all the theory and some examples you need to know for mathematics 114. The whole semester's content for mathematics 114 is summarised. Self-study: Revision of coordinate geometry & straight lines These are topics that you should be familiar with from school. Some students forget some of this material by the time they start their first year, and therefore need to revise them. These topics are all required for Calculus topics later on. Week 1: Numbers,...

These notes summarise the first part of the maths stats 246 syllabus at stellenbosch university. the notes include theory as well as numerous worked examples with explanation.

This document contains comprehensive summaries of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.). This document also contains a brief summary of general hypothesis tests and p-values.

This document contains a brief summary and many examples of point estimators, order statistics, relative efficiency, method of moment estimators, method of maximum likelihood estimators, Neyman-Pearson Lemma, likelihood ratio test, Bayesian statistics (conjugate priors, noninformative priors, credibility intervals, squared error loss functions, absolute error loss functions, etc.).