Maths 245 - Study guides, Study notes & Summaries

These notes give a summary of the theory in Maths Stats 245, with worked examples and detailed explanations.

These notes summarise the theory for the Maths Stats 245 module at Stellenbosch University. The notes include theory, worked examples and detailed explanations.

Pearson Higher Nationals in ComputingSummary of changes in Pearson BTEC Higher Nationals in Computing Issue 3 Summary of changes made between previous issue and this current issue Page number Meeting local needs and centre devised units: Corrected language on 4th paragraph on mandatory units New table added illustrating the maximum number of credits that can be imported by pathway 48 48 Making assessment decisions using criteria: Corrected third bullet point under information and ...

Exam (elaborations) TEST BANK FOR The Chemistry Maths Book 2nd Edition By Steiner E. (With Solution Manual) The Chemistry Maths Book Second Edition Erich Steiner University of Exeter without mathematics the sciences cannot be understood, nor made clear, nor taught, nor learned. (Roger Bacon, 1214–1292) 1 Contents 1 Numbers, variables, and units 1 1.1 Concepts 1 1.2 Real numbers 3 1.3 Factorization, factors, and factorials 7 1.4 Decimal representation of numbers 9 1.5 Variables ...

Exam (elaborations) TEST BANK FOR The Chemistry Maths Book 2nd Edition Numbers, variables, and units 1 1.1 Concepts 1 1.2 Real numbers 3 1.3 Factorization, factors, and factorials 7 1.4 Decimal representation of numbers 9 1.5 Variables 13 1.6 The algebra of real numbers 14 1.7 Complex numbers 19 1.8 Units 19 1.9 Exercises 29 2 Algebraic functions 31 2.1 Concepts 31 2.2 Graphical representation of functions 32 2.3 Factorization and simplification of expressions 34 2.4 Inverse func...

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.).

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.