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Produktbild: Oxford IB Diploma Programme: IB Mathematics: analysis and approaches

Oxford IB Diploma Programme: IB Mathematics: analysis and approaches

99,99 €

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Produktdetails

ISBN

978-0-19-842710-0

Erscheinungsdatum

21.02.2019

Unterrichtsfächer

Mathematik

Einband

Taschenbuch

Verlag

Oxford Children's Books

Seitenzahl

725

Maße (L/B/H)

19,6/25,3/3 cm

Gewicht

1614 g

Sprache

Englisch

Produktdetails

ISBN

978-0-19-842710-0

Erscheinungsdatum

21.02.2019

Unterrichtsfächer

Mathematik

Einband

Taschenbuch

Verlag

Oxford Children's Books

Seitenzahl

725

Maße (L/B/H)

19,6/25,3/3 cm

Gewicht

1614 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: analysis and approaches

    • From patterns to generalizations: sequences and series
    • 1.1: Number patterns and sigma notation
    • 1.2: Arithmetic and geometric sequences
    • 1.3: Arithmetic and geometric series
    • 1.4: Modelling using arithmetic and geometric series
    • 1.5: The binomial theorem
    • 1.6: Proofs
    • Representing relationships: introducing functions
    • 2.1: What is a function?
    • 2.2: Functional notation
    • 2.3: Drawing graphs of functions
    • 2.4: The domain and range of a function
    • 2.5: Composition of functions
    • 2.6: Inverse functions
    • Modelling relationships: linear and quadratic functions
    • 3.1: Parameters of a linear function
    • 3.2: Linear functions
    • 3.3: Transformations of functions
    • 3.4: Graphing quadratic functions
    • 3.5: Solving quadratic equations by factorization and completing the square
    • 3.6: The quadratic formula and the discriminant
    • 3.7: Applications of quadratics
    • Equivalent representations: rational functions
    • 4.1: The reciprocal function
    • 4.2: Transforming the reciprocal function
    • 4.3: Rational functions of the form ax+b/cx+d
    • Measuring change: differentiation
    • 5.1: Limits and convergence
    • 5.2: The derivative function
    • 5.3: Differentiation rules
    • 5.4: Graphical interpretation of first and second derivatives
    • 5.5: Application of differential calculus: optimization and kinematics
    • Representing data: statistics for univariate data
    • 6.1: Sampling
    • 6.2: Presentation of data
    • 6.3: Measures of central tendency
    • 6.4: Measures of dispersion
    • Modelling relationships between two data sets: statistics for bivariate data
    • 7.1: Scatter diagrams
    • 7.2: Measuring correlation
    • 7.3: The line of best fit
    • 7.4: Least squares regression
    • Quantifying randomness: probability
    • 8.1: Theoretical and experimental probability
    • 8.2: Representing probabilities: Venn diagrams and sample spaces
    • 8.3: Independent and dependent events and conditional probability
    • 8.4: Probability tree diagrams
    • Representing equivalent quantities: exponentials and logarithms
    • 9.1: Exponents
    • 9.2: Logarithms
    • 9.3: Derivatives of exponential functions and the natural logarithmic function
    • From approximation to generalization: integration
    • 10.1: Antiderivatives and the indefinite integral
    • 10.2: More on indefinite integrals
    • 10.3: Area and definite integrals
    • 10.4: Fundamental theorem of calculus
    • 10.5: Area between two curves
    • Relationships in space: geometry and trigonometry in 2D and 3D
    • 11.1: The geometry of 3D shapes
    • 11.1: Right-angles triangle trigonometry
    • 11.3: The sine rule
    • 11.4: The cosine rule
    • 11.5: Applications of right and non-right angled trigonometry
    • Periodic relationships: trigonometric functions
    • 12.1: Radian measure, arcs, sectors and segments
    • 12.2: Trigonometric ratios in the unit circle
    • 12.3: Trigonometric identities and equations
    • 12.4: Trigonometric functions
    • Modelling change: more calculus
    • 13.1: Derivatives with sine and cosine
    • 13.2: Applications of derivatives
    • 13,3: Integration with sine, cosine and substitution
    • 13.4: Kinematics and accumulating change
    • Valid comparisons and informed decisions: probability distributions
    • 14.1: Random variables
    • 14.2: The binomial distribution
    • 14.3: The normal distribution
    • Exploration