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Similarly, a text can develop homoplasies: assimilation of parallels, h.t. errors, and expansion of epithets are all cases where agreement in reading can be the result of coincidence rather than common origin. FUNCTIONS – Notation & Terminology, Domain and Range, Composite & Inverse Functions, lnx and the Trigonometric Functions, Parametric & Implicit Differentiation, Rates of Change & Differential Equations PARTIAL FRACTIONS – Adding & Subtracting Partial Fractions, 2/3/Repeated Factors in the Denominator INTEGRATION – Trigonometric Functions & Using Identities, By Substitution & By Parts, Numerical Integration, Areas & Volumes, Solving Differential Equations POISSON DISTRIBUTION – Poisson CDF, Mean & Variance, Approximating Binomial CONTINUOS RANDOM VARIABLES – Probability Density Function (PDF), Cumulative Distribution Function (CDF), Mean & Variance of a PDF, Mode/Median & Quartiles NORMAL APPROXMINATIONS – Approximating Poisson & Binomial, Continuity Corrections POPULATION & SAMPLES – Populations, Censuses & Samples, Sampling Methods, Concept of a Statistic HYPOTHESIS TESTING – Hypothesis Tests, Significance Levels, 1 & 2 Tailed Tests, Tests with Poisson & Binomial, Critical regions KINEMATICS IN A STRAIGHT LINE - The Constant Acceleration Formulae in a Vertical Plane, Use of Calculus CENTRES OF MASS – Finding Centres of Mass in 1D, 2D & for Uniform or Composite Laminas, Frameworks & Equilibrium COLLISIONS – Impulse & Momentum, Conservation of Momentum, Restitution, Successive Impacts & Energy Changes STATICS OF RIGID BODIES – Moments, Equilibrium & Limiting Equilibrium

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 12.21 MB

Downloadable formats: PDF

Similarly, a text can develop homoplasies: assimilation of parallels, h.t. errors, and expansion of epithets are all cases where agreement in reading can be the result of coincidence rather than common origin. FUNCTIONS – Notation & Terminology, Domain and Range, Composite & Inverse Functions, lnx and the Trigonometric Functions, Parametric & Implicit Differentiation, Rates of Change & Differential Equations PARTIAL FRACTIONS – Adding & Subtracting Partial Fractions, 2/3/Repeated Factors in the Denominator INTEGRATION – Trigonometric Functions & Using Identities, By Substitution & By Parts, Numerical Integration, Areas & Volumes, Solving Differential Equations POISSON DISTRIBUTION – Poisson CDF, Mean & Variance, Approximating Binomial CONTINUOS RANDOM VARIABLES – Probability Density Function (PDF), Cumulative Distribution Function (CDF), Mean & Variance of a PDF, Mode/Median & Quartiles NORMAL APPROXMINATIONS – Approximating Poisson & Binomial, Continuity Corrections POPULATION & SAMPLES – Populations, Censuses & Samples, Sampling Methods, Concept of a Statistic HYPOTHESIS TESTING – Hypothesis Tests, Significance Levels, 1 & 2 Tailed Tests, Tests with Poisson & Binomial, Critical regions KINEMATICS IN A STRAIGHT LINE - The Constant Acceleration Formulae in a Vertical Plane, Use of Calculus CENTRES OF MASS – Finding Centres of Mass in 1D, 2D & for Uniform or Composite Laminas, Frameworks & Equilibrium COLLISIONS – Impulse & Momentum, Conservation of Momentum, Restitution, Successive Impacts & Energy Changes STATICS OF RIGID BODIES – Moments, Equilibrium & Limiting Equilibrium

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