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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 assessedExemplification 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
M0.1Recognise and make use of appropriate units in calculationsLearners may be tested on their ability to:
• convert between units e.g. mm3\mathrm{mm^3} to cm3\mathrm{cm^3} 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)
M0.2Recognise and use expressions in decimal and standard formLearners 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. 0.0050moldm30.0050\,\mathrm{mol\,dm^{-3}} is equivalent to 5.0×103moldm35.0\times10^{-3}\,\mathrm{mol\,dm^{-3}}
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)
M0.3Use ratios, fractions and percentagesLearners 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)
M0.4Estimate resultsLearners 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)
M0.5Use calculators to find and use power, exponential and logarithmic functionsLearners 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
M1.1Use an appropriate number of significant figuresLearners 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)
M1.2Find arithmetic meansLearners 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)
M1.3Construct and interpret frequency tables and diagrams, bar charts and histogramsLearners 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)
M1.4Understand simple probabilityLearners 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)
M1.5Understand the principles of sampling as applied to scientific dataLearners 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)
M1.6Understand the terms mean, median and modeLearners 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)
M1.7Use a scatter diagram to identify a correlation between two variablesLearners 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)
M1.8Make order of magnitude calculationsLearners may be tested on their ability to:
• use and manipulate the magnification formula
magnification=size of imagesize of real object\text{magnification}=\frac{\text{size of image}}{\text{size of real object}}
2.1.1(e)
M1.9Select and use a statistical testLearners may be tested on their ability to select and use:
• the chi squared test (χ2\chi^2) to test the significance of the difference between observed and expected results
• the Student's tt-test
• the Spearman's rank correlation coefficient.
4.2.1(b), 5.1.5(e), 6.1.2(c), 6.3.1(e)
M1.10Understand measures of dispersion, including standard deviation and rangeLearners 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)
M1.11Identify uncertainties in measurements and use simple techniques to determine uncertainty when data are combinedLearners 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
M2.1Understand and use the symbols: ==, <<, \ll, >>, \gg, \propto, \simNo 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)
M2.2Change the subject of an equationLearners 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)
M2.3Substitute numerical values into algebraic equations using appropriate units for physical quantitiesLearners may be tested on their ability to:
• use a given equation e.g. Simpson's index of diversity
D=1(nN)2D=1-\sum\left(\frac{n}{N}\right)^2
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)
M2.4Solve algebraic equationsLearners 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)
M2.5Use logarithms in relation to quantities that range over several orders of magnitudeLearners 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
M3.1Translate information between graphical, numerical and algebraic formsLearners 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)
M3.2Plot two variables from experimental or other dataLearners 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)
M3.3Understand that y=mx+cy=mx+c represents a linear relationshipLearners 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)
M3.4Determine the intercept of a graphLearners 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)
M3.5Calculate rate of change from a graph showing a linear relationshipLearners 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)
M3.6Draw and use the slope of a tangent to a curve as a measure of rate of changeLearners 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
M4.1Calculate the circumferences, surface areas and volumes of regular shapesLearners 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

BiologicalMathematical
RecallMagnification
Rates
RfR_f
Q10Q_{10}
SA:VSA : V
Genetic biodiversity
Cardiac output
RQRQ
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)
ProvidedHardy-Weinberg
Simpson's index of diversity
Surface area and volume of cylinder and sphere

chi squared

tt-test paired

tt-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

FormulaEquation
Circumference of circlecircumference=2πr\text{circumference}=2\pi r
Area of circlearea of circle=πr2\text{area of circle}=\pi r^2
Surface area of cuboidsurface area of cuboid=2(bh+bl+hl)\text{surface area of cuboid}=2(bh+bl+hl)
Volume of cuboidvolume of cuboid=hbl\text{volume of cuboid}=hbl
Meanxˉ=xn\bar{x}=\frac{\sum x}{n}
Percentage changepercentage change=new quantityoriginal quantityoriginal quantity×100\text{percentage change}=\frac{\text{new quantity}-\text{original quantity}}{\text{original quantity}}\times100
Percentage yield% yield=actual amounttheoretical amount×100\%\text{ yield}=\frac{\text{actual amount}}{\text{theoretical amount}}\times100
Percentage error (uncertainty)% error (uncertainty)=2×absolute uncertaintyquantity measured×100%\%\text{ error (uncertainty)}=\frac{2\times\text{absolute uncertainty}}{\text{quantity measured}}\times100\%

Biological formulae to recall

The following are the biological formulae learners will need to recall:

Biological formulae to recall

FormulaEquation
Magnificationmagnification=size of imagesize of real object\text{magnification}=\frac{\text{size of image}}{\text{size of real object}}
RfR_fRf=distance moved by the solutedistance moved by the solventR_f=\frac{\text{distance moved by the solute}}{\text{distance moved by the solvent}}
Rates (e.g. enzymatic reactions, breathing (ventilation), transpiration, photosynthesis, respiration, reaction times, diffusion)rate=change in quantitytime taken\text{rate}=\frac{\text{change in quantity}}{\text{time taken}}
Surface Area to Volume ratioratio=surface areavolume\text{ratio}=\frac{\text{surface area}}{\text{volume}}
Genetic biodiversityproportion of polymorphic gene loci=number of polymorphic gene locitotal number of loci\text{proportion of polymorphic gene loci}=\frac{\text{number of polymorphic gene loci}}{\text{total number of loci}}
Cardiac output as a function of heart rate and stroke volumecardiac output=heart rate×stroke volume\text{cardiac output}=\text{heart rate}\times\text{stroke volume}
Respiratory quotientRQ=CO2 producedO2 consumedRQ=\frac{CO_2\ \text{produced}}{O_2\ \text{consumed}}
Microorganism population growthN=N0×2nN=N_0\times2^n
Efficiency of biomass transfersefficiency=biomass transferredbiomass intake×100\text{efficiency}=\frac{\text{biomass transferred}}{\text{biomass intake}}\times100
Temperature coefficient (Q10Q_{10})Q10=R2R1Q_{10}=\frac{R_2}{R_1}

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

FormulaEquation
Surface area of a cylindersurface area of cylinder=2πr(r+l)\text{surface area of cylinder}=2\pi r(r+l)
Volume of a cylindervolume of cylinder=πr2l\text{volume of cylinder}=\pi r^2l
Surface area of a spheresurface area of sphere=4πr2\text{surface area of sphere}=4\pi r^2
Volume of a spherevolume of sphere=43πr3\text{volume of sphere}=\frac{4}{3}\pi r^3
Chi squaredχ2=(fofe)2fe\chi^2=\sum\frac{(f_o-f_e)^2}{f_e}
Spearman's Rank Correlation Coefficientrs=16d2n(n21)r_s=1-\frac{6\sum d^2}{n(n^2-1)}
Standard Deviations=(xxˉ)2n1s=\sqrt{\frac{\sum(x-\bar{x})^2}{n-1}}
Student's t-test - Unpairedt=xˉAxˉBsA2nA+sB2nBt=\frac{|\bar{x}_A-\bar{x}_B|}{\sqrt{\frac{s_A^2}{n_A}+\frac{s_B^2}{n_B}}}
Student's t-test - Pairedt=dˉnsdt=\frac{\bar{d}\sqrt{n}}{s_d}

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

FormulaEquation
The Hardy-Weinberg Equationsp2+2pq+q2=1p^2+2pq+q^2=1
p+q=1p+q=1
Simpson's IndexD=1(nN)2D=1-\sum\left(\frac{n}{N}\right)^2