Level 2 Mathematics and Statistics Externals Learning Workbook - SPECIAL (damaged stock at $20 each)

Damaged stock at $20 each. Damage to the book varies but is normally minimal (eg. bent cover, dent on book, etc). Content inside the book is still perfectly useable. Not included in our multi-buy special. - Level 2 Mathematics and Statistics Externals Learning Workbook covers the three externally assessed NCEA Level 2 Mathematics and Statistics Achievement Standards: AS91261 Apply algebraic methods in solving problems AS91262 Apply calculus methods in solving problems AS91267 Apply probability methods in solving problems These standards are worth a total of 13 credits. The workbook features: bite-sized sections of notes with student-friendly explanations worked examples to illustrate fundamental concepts plenty of exercises so students can improve their skills and practise problem solving answers to all exercises (provided at the end of the book) practice assessment tasks. An index gives easy access to important terms and definitions highlighted in the text. This workbook provides a variety of questions for the student. Basic problems require fundamental concepts to be applied in straightforward algebra, calculus or probability contexts. More challenging applications require strategies to be devised and clearly communicated, in order to solve harder theoretical or practical problems. The concise notes and write-on exercises keep student work together in a compact format, providing a useful end-of-topic revision tool. This workbook is ideal for use in the classroom or for homework, home study and revision. Published: 11/2020 -- Metadata Maths, math Phyl Haydock 9781990015137 978-1-990015-13-7 9780908315505 978-0-908315-50-5 91261, 91262, 91267 algebra algebraic methods calculus solving problems probability externals Single AS LWBs Achievement Standard 91261 (Mathematics and Statistics 2.6) Apply algebraic methods in solving problems Expanding bracketsExercise A: Expanding brackets Factorising Exercise B: Factorising Indices Exercise C: Indices Logarithms Exercise D: Logarithms Rational expressions Exercise E: Rational expressions Linear equations and inequations Exercise F: Linear equations and inequations Quadratic equations Exercise G: Solving quadratic equations 25 Exercise H: Solving quadratic equations by completing the square 30 Exercise I: The quadratic formula 33 Exercise J: The nature of the roots of a quadratic equation Polynomial equations Exercise K: Solving polynomial equations Exponential equations Exercise L: Exponential equations Logarithmic equations Exercise M: Logarithmic equations Algebraic problem solving at Excellence level Exercise N: Algebraic problem solving at Excellence level Practice assessment task 1 Achievement Standard 91262 (Mathematics and Statistics 2.7) Apply calculus methods in solving problems The gradient of a curve Exercise A: The gradient of a curve Exercise B: Finding the gradient function Exercise C: Sketching gradient functions Differentiation Exercise D: Differentiation Gradient of a curve at a point Exercise E: Gradient of a curve at a point Exercise F: Turning points of a curve The equation of a tangent to a curve Exercise G: The equation of a tangent to a curve Rates of change and kinematics Exercise H: Rates of change and kinematics Optimisation Exercise I: Optimisation Sketching functions from graphs of gradient functions Exercise J: Sketching functions from graphs of gradient functions Antidifferentiation Exercise K: Antidifferentiation Exercise L: Equation of a function when its gradient function is known Kinematics and antidifferentiation Exercise M: Kinematics and antidifferentiation Calculus problem solving Exercise N: Calculus problem solving Practice assessment task 2 Achievement Standard 91267 (Mathematics and Statistics 2.12) Apply probability methods in solving problems Basic probability Exercise A: Basic probability Expected numbers Exercise B: Expected numbers Risk and relative risk Exercise C: Risk and relative risk Probability trees Exercise D: Probability trees Conditional probability Exercise E: Conditional probability and tree diagrams The normal distribution Exercise F: The standard normal distribution table Exercise G: Using standard normal tables Exercise H: Probabilities using the normal curve Exercise I: Inverse probabilities using standard normal tables Exercise J: Inverse normal probability problems Experimental distributions Exercise K: Comparing experimental distributions with theoretical distributions