Specification points
OCR Level 3 Certificate in Core Maths A (MEI): Quantitative Reasoning H868
132 points in 2 topics, with OCR's codes and titles.
Grade boundaries·OCR command words
Codes and titles are read by a script from OCR's published specification and have not been checked by a person. What each point covers is in the specification itself: OCR’s specification.
01 Introduction to Quantitative Reasoning
- 01.1 Use of technology
- IQRq1 Using a calculator
- IQRq2 Reading spreadsheets
- IQRq3 Entering spreadsheet formulae and data
- IQRq4 Interpreting spreadsheet formulae
- IQRq5 Copying spreadsheet formulae
- IQRq6 Numerical solutions with a spreadsheet
- IQRq7 Graphs and statistical diagrams in spreadsheets
- 01.2 Modelling
- IQRp1 Simplifying assumptions for modelling
- IQRp2 Choosing a simple model
- IQRp3 Predictions from a model
- IQRp4 Comparing model outcomes with reality
- IQRp5 Appraising model assumptions
- IQRp6 Improving simple models
- IQRp7 Communicating mathematical results
- IQRe1 Rough estimates
- IQRe2 Estimates to check calculations
- IQRe3 Upper and lower bounds
- IQRe4 Error bounds and tolerances
- IQRa1 Representing situations with formulae
- IQRa2 Substituting into formulae
- IQRa3 Solving equations and rearranging formulae
- IQRm1 Similar shapes: lengths, areas and volumes
- IQRm2 Measures to meet regulations
- IQRm3 Working with units
- IQRm4 Diagrams, maps and scale drawings
- IQRm5 3-D objects in 2-D
- IQRm6 Displacement, speed, velocity and acceleration
- IQRn1 Ratio and proportion in context
- 01.3 Statistics
- IQRs1 Deciding what data to collect
- IQRs2 Collecting data ethically
- IQRs3 Processing and presenting data
- IQRs4 Interpreting results of a statistical question
- IQRs5 Types of data
- IQRs6 Inaccurate values in data
- IQRs7 Reading and constructing tables
- IQRs8 Sample and population
- IQRs9 Inferring population properties from samples
- IQRs10 Variability and features of distributions
- IQRs11 Statistical diagrams
- IQRs12 Misleading statistical diagrams
- IQRs13 Skewness
- IQRs14 Scatter diagrams and lines of best fit
- IQRs15 Measures of central tendency
- IQRs16 Measures of spread
- IQRs17 Weighted means
- IQRs18 Normal distribution as a model
- IQRs19 Unusual values beyond three standard deviations
- IQRs20 z-scores
- IQRs21 Normal probability plots
- 01.4 Finance
- IQRf1 Information needed for financial decisions
- IQRf2 Obtaining financial information
- IQRf3 Finding possible financial solutions
- IQRf4 Choosing appropriate financial solutions
- IQRf5 Percentages and index numbers
- IQRf6 Appreciation and depreciation
- IQRf7 Average annual percentage growth rate
- IQRf8 Foreign exchange calculations
- IQRf9 Choosing the best exchange rate
- IQRf10 Regular outgoing costs
- IQRf11 Information from financial tables
- IQRf12 Costing a project with a spreadsheet
- IQRf13 Demand curves
- IQRf14 Language of finance
- 01.5 Working with exponentials
- IQRl1 Large and small numbers in standard form
- IQRl2 Calculating in standard form
- IQRl3 Exponential growth and decay
- IQRl4 Graphs of exponential growth and decay
- IQRl5 Solving power and exponential equations
- IQRl6 Logarithmic scales
- 01.6 Working with graphs and gradients
- IQRg1 Independent variable on the horizontal axis
- IQRg2 Tables of values and plotting graphs
- IQRg3 Tables of values from graphs
- IQRg4 Graphs from different contexts
- IQRg5 Direct and inverse proportion graphs
- IQRg6 Linearising a graph
- IQRg7 Straight-line graphs and formulae
- IQRg8 Gradient of a straight line in context
- IQRg9 Gradient of a curve by tangent
- 01.7 Risk
- IQRu1 Equally likely outcomes
- IQRu2 Estimating probability by counting outcomes
- IQRu3 Relative frequency
- IQRu4 Two-way tables and probability
- IQRu5 Dependent and independent events
- IQRu6 Tree diagrams and conditional probability
- IQRu7 Understanding risk
- IQRu8 Risk assessments
02 Critical Maths
- 02.1 Problem solving
- CMp1 Information needed to address a problem
- CMp2 Simplifying assumptions in problem solving
- CMp3 Recognising similar solved problems
- CMp4 Evaluating problem-solving strategies
- CMp5 Comparing quantities by reasoning
- CMp6 Decisions justified by data
- CMp7 Communicating a solution
- CMp8 Interpreting a solution in context
- CMp9 Sources of bias or error
- CMp10 Evaluating public statements with numbers
- CMp11 Evaluating decisions with data
- CMp12 Good enough solutions
- CMp13 Criticising and refining solutions
- CMp14 Testing general statements numerically
- 02.2 Sources of information
- CMe1 Estimating everyday quantities
- CMe2 Rough populations of a city, the UK and the world
- CMe3 Sizes and capacities of common transport
- CMe4 Fermi estimates
- CMe5 Reasonable orders of magnitude
- CMe6 Estimating probabilities
- CMe7 Expected number as long-run average
- 02.3 Mathematical and statistical techniques and knowledge
- CMs1 Rare events in large populations
- CMs2 Errors in probabilistic reasoning
- CMs3 Misleading diagrams and summary measures
- CMs4 Correlation, association and causation
- CMs5 Regression to the mean
- CMs6 Randomised controlled trials
- CMs7 Blind and double blind trials
- CMs8 Sums of independent observations and the Normal
- CMs9 Coin-toss models and variability
- CMs10 Variability of proportions in small samples
- CMu1 Confusing conditional probabilities
- CMu2 Population proportions as probabilities
- CMn1 Critical use of percentages