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  1. Home
  2. Subjects
  3. Mathematics
  4. AS Mathematics

AS Mathematics7356

SpecificationPlanning resourcesTeaching resourcesAssessment resourcesKey dates
1.0 Introduction
2.0 Specification at a glance
3.0 Subject content
3.1 Overarching themes
3.2 A: Proof
3.3 B: Algebra and functions
3.4 C: Coordinate geometry in the ( x, y) plane
3.5 D: Sequences and series
3.6 E: Trigonometry
3.7 F: Exponentials and logarithms
3.8 G: Differentiation
3.9 H: Integration
3.10 J: Vectors
3.11 K: Statistical sampling
3.12 L: Data presentation and interpretation
3.13 M: Probability
3.14 N: Statistical distributions
3.15 O: Statistical hypothesis testing
3.16 P: Quantities and units in mechanics
3.17 Q: Kinematics
3.18 R: Forces and Newton’s laws
3.19 Use of data in statistics
4.0 Scheme of assessment
5.0 General administration
Appendix A: mathematical notation
Appendix B: mathematical formulae and identities
AS Mathematics Specification Specification for first teaching in 2017

AS Mathematics Specification Specification for first teaching in 2017

31 Jan 2018

PDF | 1021.03 KB

3.12 L: Data presentation and interpretation

3.11 K: Statistical sampling
3.13 M: Probability
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 Content
L1

Interpret diagrams for single-variable data, including understanding that area in a histogram represents frequency.

Connect to probability distributions.

 Content
L2

Interpret scatter diagrams and regression lines for bivariate data, including recognition of scatter diagrams which include distinct sections of the population (calculations involving regression lines are excluded).

Understand informal interpretation of correlation.

Understand that correlation does not imply causation.

 Content
L3

Interpret measures of central tendency and variation, extending to standard deviation.

Be able to calculate standard deviation, including from summary statistics.

 Content
L4

Recognise and interpret possible outliers in data sets and statistical diagrams.

Select or critique data presentation techniques in the context of a statistical problem.

Be able to clean data, including dealing with missing data, errors and outliers.