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

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

99,99 €

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Produktdetails

ISBN

978-0-19-842704-9

Erscheinungsdatum

21.03.2019

Bundesländer

Baden-Württemberg + weitere

Unterrichtsfächer

Mathematik

Klassenstufen

5. Klasse + weitere

Schulformen

Gymnasium

Einband

Taschenbuch

Verlag

Oxford Children's Books

Seitenzahl

832

Maße (L/B/H)

25,6/19,7/4,4 cm

Gewicht

1766 g

Sprache

Englisch

Produktdetails

ISBN

978-0-19-842704-9

Erscheinungsdatum

21.03.2019

Bundesländer

  • Baden-Württemberg
  • Bayern
  • Berlin
  • Brandenburg
  • Bremen
  • Hamburg
  • Hessen
  • Mecklenburg-Vorpommern
  • Niedersachsen
  • Nordrhein-Westfalen
  • Rheinland-Pfalz
  • Saarland
  • Sachsen
  • Sachsen-Anhalt
  • Schleswig-Holstein
  • Thüringen

Unterrichtsfächer

Mathematik

Klassenstufen

  • 5. Klasse
  • 6. Klasse
  • 7. Klasse
  • 8. Klasse
  • 9. Klasse
  • 10. Klasse
  • 11. Klasse
  • 12. Klasse
  • 13. Klasse

Schulformen

Gymnasium

Einband

Taschenbuch

Verlag

Oxford Children's Books

Seitenzahl

832

Maße (L/B/H)

25,6/19,7/4,4 cm

Gewicht

1766 g

Sprache

Englisch

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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

    • Measuring space: accuracy and geometry
    • 1.1: Representing numbers exactly and approximately
    • 1.2: Angles and triangles
    • 1.3: three-dimensional geometry
    • Representing and describing data: descriptive statistics
    • 2.1: Collecting and organizing data
    • 2.2: Statistical measures
    • 2.3: Ways in which we can present data
    • 2.4: Bivariate data
    • Dividing up space: coordinate geometry, lines, Voronoi diagrams, vectors
    • 3.1: Coordinate geometry in 2 and 3 dimensions
    • 3.2: The equation of a straight line in 2 dimensions
    • 3.3: Voronoi diagrams
    • 3.4: Displacement vectors
    • 3.5: The scalar and vector product
    • 3.6: Vector equations of lines
    • Modelling constant rates of change: linear functions and regressions
    • 4.1: Functions
    • 4.2: Linear models
    • 4.3: Inverse functions
    • 4.4: Arithmetic sequences and series
    • 4.5: Linear regression
    • Quantifying uncertainty: probability
    • 5.1: Theoretical and experimental probability
    • 5.2: Representing combined probabilities with diagrams
    • 5.3: Representing combined probabilities with diagrams and formulae
    • 5.4: Complete, concise and consistent representations
    • Modelling relationships with functions: power and polynomial functions
    • 6.1: Quadratic models
    • 6.2: Quadratic modelling
    • 6.3: Cubic functions and models
    • 6.4: Power functions, inverse variation and models
    • Modelling rates of change: exponential and logarithmic functions
    • 7.1: Geometric sequences and series
    • 7.2: Financial applications of geometric sequences and series
    • 7.3: Exponential functions and models
    • 7.4: Laws of exponents - laws of logarithms
    • 7.5: Logistic models
    • Modelling periodic phenomena: trigonometric functions and complex numbers
    • 8.1: Measuring angles
    • 8.2: Sinusoidal models: f(x) = asin(b(x-c))+d
    • 8.3: Completing our number system
    • 8.4: A geometrical interpretation of complex numbers
    • 8.5: Using complex numbers to understand periodic models
    • Modelling with matrices: storing and analyzing data
    • 9.1: Introduction to matrices and matrix operations
    • 9.2: Matrix multiplication and properties
    • 9.3: Solving systems of equations using matrices
    • 9.4: Transformations of the plane
    • 9.5: Representing systems
    • 9.6: Representing steady state systems
    • 9.7: Eigenvalues and eigenvectors
    • Analyzing rates of change: differential calculus
    • 10.1: Limits and derivatives
    • 10.2: Differentiation: further rules and techniques
    • 10.3: Applications and higher derivatives
    • Approximating irregular spaces: integration and differential equations
    • 11.1: Finding approximate areas for irregular regions
    • 11.2: Indefinite integrals and techniques of integration
    • 11.3: Applications of integration
    • 11.4: Differential equations
    • 11.5: Slope fields and differential equations
    • Modelling motion and change in 2D and 3D: vectors and differential equations
    • 12.1: Vector quantities
    • 12.2: Motion with variable velocity
    • 12.3: Exact solutions of coupled differential equations
    • 12.4: Approximate solutions to coupled linear equations
    • Representing multiple outcomes: random variables and probability distributions
    • 13.1: Modelling random behaviour
    • 13.2: Modelling the number of successes in a fixed number of trials
    • 13.3: Modelling the number of successes in a fixed interval
    • 13.4: Modelling measurements that are distributed randomly
    • 13.5: Mean and variance of transformed or combined random variables
    • 13.6: Distributions of combined random variables
    • Testing for validity: Spearman's hypothesis testing and x^2 test for independence
    • 14.1: Spearman's rank correlation coefficient
    • 14.2: Hypothesis testing for the binomial probability, the Poisson mean and the product moment correlation coefficient
    • 14.3: Testing for the mean of a normal distribution
    • 14.4: Chi-squared test for independence
    • 14.5: Chi-squared goodness-of-fit test
    • 14.6: Choice, validity and interpretation of tests
    • Optimizing complex networks: graph theory
    • 15.1: Constructing graphs
    • 15.2: Graph theory for unweighted graphs
    • 15.3: Graph theory for weighted graphs: the minimum spanning tree
    • 15.4: Graph theory for weighted graphs - the Chinese postman problem
    • 15.5: Graph theory for weighted graphs - the travelling salesman problem
    • Exploration