# Textbook Notes for Mathematics and Statistics at McGill University

MCGILLMATH 141AllWinter

## MATH 141 Chapter Notes - Chapter All: Tibet, Eth, Dai Li

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 2: Augmented Matrix, Identity Matrix

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Chapter 2: systems of linear equations and matrices. Solution of linear systems by the echelon method. Solution of linear systems by the gauss-jordan m
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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 4: Slack Variable, Negative Number

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 7: Sample Space, Conditional Probability, Empirical Probability

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 1: Fixed Cost, Marginal Cost

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Linear functions have graphs which are straight lines. The slope of a line is defined as the vertical change (cid:894)the (cid:862)rise(cid:863)(cid:89
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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 3: Feasible Region

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Linear programming attempts to solve maximization and minimization problems with linear constraints. Linear programming models can be used to analyze a
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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 9: Standard Deviation, Central Tendency, Binomial Distribution

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Measures of central tendency: mean, median, mode. The mean of numbers can be given by: The mean of a grouped distribution can be given by: We can deter
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MCGILLMATH 262Stephen DruryWinter

## MATH 262 Chapter 1: power series : interval of convergence, integration and differentiation

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 5: Compound Interest, Interest, Sinking Fund

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MCGILLMATH 264SanchoWinter

## MATH 264 Chapter 1-20: CalcIII_Complete

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 8: Binomial Distribution, Random Variable, Histogram

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MCGILLMATH 123Sidney TrudeauWinter

## MATH 123 Chapter Notes - Chapter 18: Cumulative Distribution Function, Standard Deviation, Random Variable

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Calculus is used in the study of probability. We focus on the idea of a random variable and its connection to a probability density function and a cumu
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