Mathematical Requirements - A-Levels Biology
5d. Mathematical requirements
In order to develop their skills, knowledge and understanding in A Level Biology, learners need to have been taught, and to have acquired competence in, the appropriate areas of mathematics relevant to the subject as indicated in the M0-M4 table of coverage below.
The assessment of quantitative skills will include at least 10% Level 2 (or above) mathematical skills for biology. These skills will be applied in the context of the relevant biology.
All mathematical content will be assessed within the lifetime of the specification. Skills shown in bold type in the M0-M4 coverage table will only be tested in the full A Level course, not the standalone AS Level course.
The list of examples given in the M0-M4 coverage table is not exhaustive and is not limited to Level 2 examples. These skills could be developed in other areas of the specification content from those indicated.
Mathematical skills for biology - M0-M4 coverage table
Mathematical skills for biology - M0-M4 coverage table
| Ref. | Mathematical skill to be assessed | Exemplification of the mathematical skill in the context of A Level Biology (assessment is not limited to the examples below) | Areas of the specification which exemplify the mathematical skill (assessment is not limited to the examples below) |
|---|---|---|---|
| M0 - Arithmetic and numerical computation | |||
| M0.1 | Recognise and make use of appropriate units in calculations | Learners may be tested on their ability to: • convert between units e.g. to as part of volumetric calculations • work out the unit for a rate e.g. breathing rate | 2.1.1(e), 2.1.2(s), 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.1(a), 3.1.1(e), 3.1.2(a), 3.1.2(h), 3.1.3(a), 3.1.3(c), 4.1.1(b), 4.1.1(l), 5.1.2(c), 5.1.5(i), 5.1.5(k), 5.2.1(a), 5.2.1(c), 5.2.1(g), 5.2.2(i), 5.2.2(k), 5.2.2(l), 6.2.1(h), 6.3.1(b), 6.3.2(a) |
| M0.2 | Recognise and use expressions in decimal and standard form | Learners may be tested on their ability to: • use an appropriate number of decimal places in calculations, e.g. for a mean • carry out calculations using numbers in standard and ordinary form, e.g. use of magnification • understand standard form when applied to areas such as size of organelles • convert between numbers in standard and ordinary form • understand that significant figures need retaining when making conversions between standard and ordinary form, e.g. is equivalent to | 2.1.1(e), 2.1.1(f), 2.1.1(g), 2.1.2(s), 2.1.4(d), 2.1.4(f), 2.1.5(b), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.1(e), 3.1.3(c), 4.1.1(b), 4.1.1(l), 4.2.1(b), 5.1.5(e), 5.1.5(i), 5.1.5(k), 5.2.1(c), 5.2.1(g), 5.2.2(i), 5.2.2(k), 5.2.2(l), 6.1.2(f), 6.2.1(i), 6.3.1(b), 6.3.2(a) |
| M0.3 | Use ratios, fractions and percentages | Learners may be tested on their ability to: • calculate percentage yields • calculate surface area to volume ratio • use scales for measuring • represent phenotypic ratios (monohybrid and dihybrid crosses). | 2.1.1(e), 2.1.1(f), 2.1.4(d), 2.1.4(f), 2.1.5(d), 2.1.5(e), 3.1.1(a), 3.1.2(a), 3.1.3(a), 4.1.1(b), 4.1.1(l), 4.2.2(h), 5.1.2(c), 5.1.5(k), 5.2.1(a), 5.2.1(g), 6.1.2(b), 6.1.2(c), 6.2.1(h), 6.2.1(i), 6.3.1(b), 6.3.2(a) |
| M0.4 | Estimate results | Learners may be tested on their ability to: • estimate results to sense check that the calculated values are appropriate. | 3.1.1(a), 3.1.1(e), 3.1.2(a), 3.1.3(a), 5.2.1(a), 6.3.1(b), 6.3.2(a) |
| M0.5 | Use calculators to find and use power, exponential and logarithmic functions | Learners may be tested on their ability to: • estimate the number of bacteria grown over a certain length of time. | 6.2.1(h), 6.3.2(a) |
| M1 - Handling data | |||
| M1.1 | Use an appropriate number of significant figures | Learners may be tested on their ability to: • report calculations to an appropriate number of significant figures given raw data quoted to varying numbers of significant figures • understand that calculated results can only be reported to the limits of the least accurate measurement. | 2.1.1(e), 2.1.2(s), 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.1(a), 3.1.2(a), 3.1.2(h), 3.1.3(a), 3.1.3(c), 4.1.1(b), 4.1.1(l), 4.2.1(c), 4.2.1(d), 4.2.1(e), 5.1.2(c), 5.1.5(e), 5.1.5(i), 5.1.5(k), 5.2.1(c), 5.2.1(g), 5.2.2(i), 5.2.2(k), 5.2.2(l), 6.2.1(h), 6.3.1(b) |
| M1.2 | Find arithmetic means | Learners may be tested on their ability to: • find the mean of a range of data, e.g. the mean number of stomata in the leaves of a plant. | 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.3(c), 4.1.1(b), 4.1.1(l), 4.2.2(f), 5.1.5(e), 5.1.5(i), 5.1.5(k), 5.2.2(l), 6.2.1(i) |
| M1.3 | Construct and interpret frequency tables and diagrams, bar charts and histograms | Learners may be tested on their ability to: • represent a range of data in a table with clear headings, units and consistent decimal places • interpret data from a variety of tables, e.g. data relating to organ function • plot a range of data in an appropriate format, e.g. enzyme activity over time represented on a graph • interpret data for a variety of graphs, e.g. explain electrocardiogram traces. | 2.1.2(s), 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.1(e), 3.1.2(h), 3.1.3(c), 4.1.1(b), 4.1.1(g), 4.1.1(l), 4.2.1(b), 4.2.1(f), 4.2.2(f), 5.1.2(c), 5.1.3(c), 5.1.5(a), 5.1.5(e), 5.1.5(i), 5.1.5(k), 5.2.1(c), 5.2.1(g), 5.2.2(i), 5.2.2(k), 5.2.2(l), 6.2.1(h), 6.2.1(i), 6.3.1(e), 6.3.2(a) |
| M1.4 | Understand simple probability | Learners may be tested on their ability to: • use the terms probability and chance appropriately • understand the probability associated with genetic inheritance. | 4.2.1(b), 5.1.5(e), 6.1.2(b), 6.1.2(c), 6.2.1(i), 6.3.1(e) |
| M1.5 | Understand the principles of sampling as applied to scientific data | Learners may be tested on their ability to: • analyse random data collected by an appropriate means, e.g. use Simpson's index of diversity to calculate the biodiversity of a habitat. | 4.1.1(b), 4.1.1(l), 4.2.1(b), 4.2.1(c), 4.2.1(d), 4.2.1(e), 6.3.1(e) |
| M1.6 | Understand the terms mean, median and mode | Learners may be tested on their ability to: • calculate or compare the mean, median and mode of a set of data, e.g. height/mass/size of a group of organisms. | 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.3(c), 4.2.1(b), 4.2.2(f), 5.1.5(a), 5.1.5(e), 5.1.5(i), 5.1.5(k), 5.2.1(l), 6.2.1(i), 6.3.1(b) |
| M1.7 | Use a scatter diagram to identify a correlation between two variables | Learners may be tested on their ability to: • interpret a scattergram, e.g. the effect of lifestyle factors on health. | 4.1.1(b), 4.1.1(l), 4.2.1(b), 4.2.1(f), 4.2.2(f), 6.3.1(e) |
| M1.8 | Make order of magnitude calculations | Learners may be tested on their ability to: • use and manipulate the magnification formula | 2.1.1(e) |
| M1.9 | Select and use a statistical test | Learners may be tested on their ability to select and use: • the chi squared test () to test the significance of the difference between observed and expected results • the Student's -test • the Spearman's rank correlation coefficient. | 4.2.1(b), 5.1.5(e), 6.1.2(c), 6.3.1(e) |
| M1.10 | Understand measures of dispersion, including standard deviation and range | Learners may be tested on their ability to: • calculate the standard deviation • understand why standard deviation might be a more useful measure of dispersion for a given set of data e.g. where there is an outlying result. | 2.1.5(e), 4.2.1(b), 4.2.2(f), 5.1.5(e), 5.1.5(k), 5.2.2(l), 6.2.1(i), 6.3.1(e) |
| M1.11 | Identify uncertainties in measurements and use simple techniques to determine uncertainty when data are combined | Learners may be tested on their ability to: • calculate percentage error where there are uncertainties in measurement. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.3(c), 5.2.1(g) |
| M2 - Algebra | |||
| M2.1 | Understand and use the symbols: , , , , , , | No exemplification required. | 2.1.5(d), 2.1.5(e), 3.1.1(a), 3.1.2(a), 3.1.3(a), 5.1.2(c), 6.1.2(c) |
| M2.2 | Change the subject of an equation | Learners may be tested on their ability to: • use and manipulate equations, e.g. magnification. | 2.1.1(e), 2.1.2(s), 5.2.1(c), 6.1.2(f) |
| M2.3 | Substitute numerical values into algebraic equations using appropriate units for physical quantities | Learners may be tested on their ability to: • use a given equation e.g. Simpson's index of diversity | 2.1.1(e), 2.1.2(s), 4.2.1(c), 4.2.1(d), 4.2.1(e), 5.2.1(c), 5.2.2(k), 6.1.2(f) |
| M2.4 | Solve algebraic equations | Learners may be tested on their ability to: • solve equations in a biological context, e.g. cardiac output = stroke volume x heart rate. | 2.1.1(e), 2.1.2(s), 3.1.2(h), 4.2.1(c), 4.2.1(d), 4.2.1(e), 5.2.1(c), 5.2.2(i), 5.2.2(l) |
| M2.5 | Use logarithms in relation to quantities that range over several orders of magnitude | Learners may be tested on their ability to: • use a logarithmic scale in the context of microbiology, e.g. growth rate of a microorganism such as yeast. | 6.2.1(h), 6.3.2(a) |
| M3 - Graphs | |||
| M3.1 | Translate information between graphical, numerical and algebraic forms | Learners may be tested on their ability to: • understand that data may be presented in a number of formats and be able to use these data, e.g. dissociation curves. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.2(j), 3.1.3(c), 4.1.1(b), 4.1.1(l), 4.2.1(f), 5.1.2(c), 5.1.3(c), 5.1.5(e), 5.1.5(k), 5.2.1(g), 5.2.2(i), 6.2.1(h), 6.3.1(e), 6.3.2(a) |
| M3.2 | Plot two variables from experimental or other data | Learners may be tested on their ability to: • select an appropriate format for presenting data, bar charts, histograms, graphs and scattergrams. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 2.1.5(e), 3.1.3(c), 4.1.1(b), 4.1.1(l), 4.2.1(b), 5.1.5(e), 5.2.1(g), 5.2.2(i), 5.2.2(l), 6.2.1(h), 6.2.1(i), 6.3.1(e), 6.3.2(a) |
| M3.3 | Understand that represents a linear relationship | Learners may be tested on their ability to: • predict/sketch the shape of a graph with a linear relationship, e.g. the effect of substrate concentration on the rate of an enzyme-controlled reaction with excess enzyme. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 3.1.3(c), 5.2.2(l) |
| M3.4 | Determine the intercept of a graph | Learners may be tested on their ability to: • read off an intercept point from a graph, e.g. compensation point in plants. | 5.2.1(a), 5.2.1(g), 6.2.1(h) |
| M3.5 | Calculate rate of change from a graph showing a linear relationship | Learners may be tested on their ability to: • calculate a rate from a graph, e.g. rate of transpiration. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 3.1.3(c), 5.2.1(g), 5.2.2(l), 6.2.1(h) |
| M3.6 | Draw and use the slope of a tangent to a curve as a measure of rate of change | Learners may be tested on their ability to: • use this method to measure the gradient of a point on a curve, e.g. amount of product formed plotted against time when the concentration of enzyme is fixed. | 2.1.4(d), 2.1.4(f), 2.1.5(c), 2.1.5(d), 3.1.3(c), 5.2.1(g), 5.2.2(l), 6.2.1(h) |
| M4 - Geometry and trigonometry | |||
| M4.1 | Calculate the circumferences, surface areas and volumes of regular shapes | Learners may be tested on their ability to: • calculate the circumference and area of a circle • calculate the surface area and volume of rectangular prisms, of cylindrical prisms and of spheres • e.g. calculate the surface area or volume of a cell. | 2.1.5(d), 2.1.5(e), 3.1.1(a), 3.1.2(a), 3.1.3(a), 3.1.3(c), 5.2.1(g), 6.2.1(i) |
Formulae used in A Level Biology
To address biology questions using mathematical skills, learners will need to be able to use and, in some cases, recall formulae and equations. Some of these will seem like pure mathematics, but will be deployed in biological contexts, while others are clearly biological equations, albeit manipulated using standard mathematical, algebraic techniques.
Formulae used in A Level Biology
| Biological | Mathematical | |
|---|---|---|
| Recall | Magnification Rates Genetic biodiversity Cardiac output Log growth Efficiency | All of GCSE (9-1) Maths recall including (but not limited to): • circumference and area of circle • surface area and volume of cuboid • mean • percentage (to include %change, %yield and %error) |
| Provided | Hardy-Weinberg Simpson's index of diversity | Surface area and volume of cylinder and sphere chi squared -test paired -test unpaired Spearman's rank Standard deviation |
GCSE (9-1) Mathematical formulae to recall
At AS and A Level Biology we assume knowledge of higher tier GCSE (9-1) Maths content. This includes (but is not limited to) the following list of formulae which learners will need to be able to recall.
Students should be familiar with the convention of using r for radius, h for height, b for base and l for length.
GCSE (9-1) Mathematical formulae to recall
| Formula | Equation |
|---|---|
| Circumference of circle | |
| Area of circle | |
| Surface area of cuboid | |
| Volume of cuboid | |
| Mean | |
| Percentage change | |
| Percentage yield | |
| Percentage error (uncertainty) |
Biological formulae to recall
The following are the biological formulae learners will need to recall:
Biological formulae to recall
| Formula | Equation |
|---|---|
| Magnification | |
| Rates (e.g. enzymatic reactions, breathing (ventilation), transpiration, photosynthesis, respiration, reaction times, diffusion) | |
| Surface Area to Volume ratio | |
| Genetic biodiversity | |
| Cardiac output as a function of heart rate and stroke volume | |
| Respiratory quotient | |
| Microorganism population growth | |
| Efficiency of biomass transfers | |
| Temperature coefficient () |
Mathematical formulae that will need to be used but not recalled
The following mathematical formulae will be provided in the assessments where needed:
Mathematical formulae provided where needed
| Formula | Equation |
|---|---|
| Surface area of a cylinder | |
| Volume of a cylinder | |
| Surface area of a sphere | |
| Volume of a sphere | |
| Chi squared | |
| Spearman's Rank Correlation Coefficient | |
| Standard Deviation | |
| Student's t-test - Unpaired | |
| Student's t-test - Paired |
Biological formulae that will need to be used but not recalled
Critical values tables, or appropriate excerpts from these tables, will be provided in the assessment where needed. Learners will need to be able to work out which degrees of freedom or r row, and which confidence column(s), is/are relevant to their analysis.
The following biological formulae will be provided in the assessments where needed:
Biological formulae provided where needed
| Formula | Equation |
|---|---|
| The Hardy-Weinberg Equations | |
| Simpson's Index |