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Oxford IB Diploma Programme: IB Mathematics: applications and interpretation, Standard Level, Print and Enhanced Online Course Book Pack

Author Jane Forrest, Author Paula Waldman, Author Jennifer Chang Wathall, Author Suzanne Doering, Author David Harris, and Author Nadia Stoyanova Kennedy

Price:  £57.99 +VAT

ISBN: 978-0-19-842698-1
Publication date: 15/02/2019 (estimated)
Pack: 672 pages
Dimensions: 255x195mm

Evaluation copies must be ordered on a school account.
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Description

Featuring a wealth of digital content, this concept-based Print and Enhanced Online Course Book Pack has been developed in cooperation with the IB to provide the most comprehensive support for the new DP Mathematics: applications and interpretation SL syllabus, for first teaching in September 2019.


Features

  • Address all aspects of the new DP Mathematics: applications and interpretation SL syllabus via an Enhanced Online Course Book Pack - made up of one full-colour, print textbook and one online textbook, including extensive teacher notes
  • Ensure learners are ready to tackle each topic with targeted 'Prior Knowledge' worksheets, linked to 'Before You Start' summaries and exercises at the start of every chapter
  • Deliver in-depth coverage of all topics through clear explanations and worked solutions, animated worked examples, differentiated exercises and worksheets, with answers provided
  • Adopt a concept-based approach with conceptual lenses and microconcepts woven into every chapter, plus rich investigations that integrate factual and conceptual questions - leading to meaningful, content-specific conceptual understanding
  • Deepen mathematical understanding via inquiry-based tasks that relate to the content of each chapter, 'international mindedness' features, regular links to Theory of Knowledge, and activities that target ATL skills
  • Support students' development of a mathematical toolkit, as required by the new syllabus, with modelling and investigation activities presented in each chapter, including prompts for reflection, and suggestions for further study
  • Thoroughly prepare students for IB assessment via in-depth coverage of course content, overviews of all requirements, exam-style practice questions and papers, and a full chapter supporting the new mathematical exploration (IA)
  • Includes support for the most popular Graphic Display Calculator models
  • This Online Course Book will be available on Oxford Education Bookshelf until 2029. Access is facilitated via a unique code, which is sent in the mail. The code must be linked to an email address, creating a user account.
  • Access may be transferred once to an additional user.

This page was last updated on 13 January 2019 at 04:30 GMT

Table of Contents

Measuring space: accuracy and 2D geometry
1.1: Measurements and estimates
1.2: Recording measurements, significant digits and rounding
1.3: Measurements: exact or approximate?
1.4: Speaking scientifically
1.5: Trigonometry of right-angled triangles and indirect measurements
1.6: Angles of elevation and depression
Representing space: non-right angled trigonometry and volumes
2.1: Trigonometry of non-right triangles
2.2: Area of triangle formula. Applications of right and non-right angled trigonometry
2.3: Geometry: solids, surface area and volume
Representing and describing data: descriptive statistics
3.1: Collecting and organising univariate data
3.2: Sampling techniques
3.3: Presentation of data
3.4: Bivariate data
Dividing up space: coordinate geometry, lines, Voronoi diagrams
4.1: Coordinates, distance and midpoint formula in 2D and 3D
4.2: Gradient of lines and its applications
4.3: Equations of straight lines; different forms of equations
4.4: Parallel and perpendicular lines
4.5: Voronoi diagrams and toxic waste problem
Modelling constant rates of change: linear functions
5.1: Functions
5.2: Linear Models
5.3: Arithmetic Sequences
5.4: Modelling
Modelling relationships: linear correlation of bivariate data
6.1: Measuring correlation
6.2: The line of best fit
6.3: Interpreting the regression line
Quantifying uncertainty: probability, binomial and normal distributions
7.1: Theoretical and experimental probability

7.2: Representing combined probabilities with diagrams
7.3: Representing combined probabilities with diagrams and formulae
7.4: Complete, concise and consistent representations
7.5: Modelling random behaviour: random variables and probability distributions
7.6: Modelling the number of successes in a fixed number of trials
7.7: Modelling measurements that are distributed randomly
Testing for validity: Spearman's, hypothesis testing and x2 test for independence
8.1: Spearman's rank correlation coefficient
8.2: chi2 test for independence
8.3: chi2 goodness of fit test
8.4: The t-test
Modelling relationships with functions: power functions
9.1: Quadratic models
9.2: Problems involving quadratics
9.3: Cubic models, power functions and direct and inverse variation
9.4: Optimisation
Modelling rates of change: exponential and logarithmic functions
10.1: Geometric sequences and series
10.2: Compound interest, annuities, amortization
10.3: Exponential models
10.4: Exponential equations and logarithms
Modelling periodic phenomena: trigonometric functions
11.1: An introduction to periodic functions
11.2: An infinity of sinusoidal functions
11.3: A world of sinusoidal models
Analyzing rates of change: differential calculus
12.1: Limits and derivatives
12.2: Equation of tangent and normal and increasing and decreasing functions
12.3: Maximum and minimum points and optimisation
Approximating irregular spaces: integration
13.1: Finding areas
13.2: Integration: the reverse processes of differentiation
Exploration