define and use a function and a relation as mappings between sets, and as a rule or a formula that defines one variable quantity in terms of another
define a relation as any set of ordered pairs (x, y) of real numbers
understand the formal definition of a function as a set of ordered pairs (x, y) of real numbers such that no two ordered pairs have the same first component (or x-component)
use function notation, domain and range, independent and dependent variables
understand and use interval notation as a way of representing domain and range, eg [4,∞)
understand the concept of the graph of a function
identify types of functions and relations on a given domain, using a variety of methods
know what is meant by one-to-one, one-to-many, many-to-one and many-to-many
use the vertical line test to identify a function
determine if a function is one-to-one
define odd and even functions algebraically and recognise their geometric properties
define the sum, difference, product and quotient of functions and consider their domains and ranges where possible
define and use the composite function f(g(x)) of functions f(x) and g(x) where appropriate
identify the domain and range of a composite function
recognise that solving the equation f(x)=0 corresponds to finding the values of x for which the graph of y=f(x) cuts the x-axis (the x-intercepts)
model, analyse and solve problems involving linear functions
recognise that a direct variation relationship produces a straight-line graph
explain the geometrical significance of m and c in the equation f(x)=mx+c
derive the equation of a straight line passing through a fixed point (x1,y1) and having a given gradient m using the formula y−y1=m(x−x1)
derive the equation of a straight line passing through two points (x1, y1) and (x2, y2) by first calculating its gradient m using the formula m=x2−x1y2−y1
understand and use the fact that parallel lines have the same gradient and that two lines with gradient m1 and m2 respectively are perpendicular if and only if m1m2=−1
find the equations of straight lines, including parallel and perpendicular lines, given sufficient information
model, analyse and solve problems involving quadratic functions
recognise features of the graph of a quadratic, including its parabolic nature, turning point, axis of symmetry and intercepts
find the vertex and intercepts of a quadratic graph by either factorising, completing the square or solving the quadratic equation as appropriate
understand the role of the discriminant in relation to the position of the graph
find the equation of a quadratic given sufficient information
solve practical problems involving a pair of simultaneous linear and/or quadratic functions algebraically and graphically, with or without the aid of technology; including determining and interpreting the break-even point of a simple business problem
understand that solving f(x)=k corresponds to finding the values of x for which the graph y=f(x) cuts the line y=k
recognise cubic functions of the form: f(x)=kx3, f(x)=k(x−b)3+c and f(x)=k(x−a)(x−b)(x−c), where a, b, c and k are constants, from their equation and/or graph and identify important features of the graph
apply transformations to sketch functions of the form y=kf(a(x+b))+c where f(x) is a polynomial, reciprocal, absolute value, exponential or logarithmic function and a, b, c and k are constants
examine translations and the graphs of y=f(x)+c and y=f(x+b) using technology
examine dilations and the graphs of y=kf(x) and y=f(ax) using technology
recognise that the order in which transformations are applied is important in the construction of the resulting function or graph
use graphical methods with supporting algebraic working to solve a variety of practical problems involving any of the functions within the scope of this syllabus, in both real-life and abstract contexts
select and use an appropriate method to graph a given function, including finding intercepts, considering the sign of f(x) and using symmetry
determine asymptotes and discontinuities where appropriate (vertical and horizontal asymptotes only)
determine the number of solutions of an equation by considering appropriate graphs
solve linear and quadratic inequalities by sketching appropriate graphs
use the sine, cosine and tangent ratios to solve problems involving right-angled triangles where angles are measured in degrees, or degrees and minutes
establish and use the sine rule, cosine rule and the area of a triangle formula for solving problems where angles are measured in degrees, or degrees and minutes
find angles and sides involving the ambiguous case of the sine rule
use technology and/or geometric construction to investigate the ambiguous case of the sine rule when finding an angle, and the condition for it to arise
solve problems involving the use of trigonometry in two and three dimensions
interpret information about a two or three-dimensional context given in diagrammatic or written form and construct diagrams where required
solve practical problems involving Pythagoras’ theorem and the trigonometry of triangles, which may involve the ambiguous case, including finding and using angles of elevation and depression and the use of true bearings and compass bearings in navigation
examine and apply transformations to sketch functions of the form y=kf(a(x+b))+c, where a, b, c and k are constants, in a variety of contexts, where f(x) is one of sinx, cosx or tanx, stating the domain and range when appropriate
use technology or otherwise to examine the effect on the graphs of changing the amplitude (where appropriate), y=kf(x), the period, y=f(ax), the phase, y=f(x+b), and the vertical shift, y=f(x)+c
use k, a, b, c to describe transformational shifts and sketch graphs
solve trigonometric equations involving functions of the form kf(a(x+b))+c, using technology or otherwise, within a specified domain
use trigonometric functions of the form $kf(a(x+b))+c model and/or solve practical problems involving periodic phenomena
distinguish between continuous and discontinuous functions, identifying key elements which distinguish each type of function
sketch graphs of functions that are continuous and compare them with graphs of functions that have discontinuities
describe continuity informally, and identify continuous functions from their graphs
describe the gradient of a secant drawn through two nearby points on the graph of a continuous function as an approximation of the gradient of the tangent to the graph at those points, which improves in accuracy as the distance between the two points decreases
examine and use the relationship between the angle of inclination of a line or tangent, θ, with the positive x-axis, and the gradient, m, of that line or tangent, and establish that tanθ=m
describe the behaviour of a function and its tangent at a point, using language including increasing, decreasing, constant, stationary, increasing at an increasing rate
interpret and use the difference quotient hf(x+h)−f(x) as the average rate of change of f(x) or the gradient of a chord or secant of the graph y=f(x)
interpret the meaning of the gradient of a function in a variety of contexts, for example on distance–time or velocity–time graphs
examine the behaviour of the difference quotient hf(x+h)−f(x) as h→0 as an informal introduction to
h the concept of a limit
interpret the derivative as the gradient of the tangent to the graph of y=f(x) at a point x
estimate numerically the value of the derivative at a point, for simple power functions
define the derivative f′(x) from first principles, as h→0limh(fx+h)−f(x) and use the notation for the derivative: dxdy=f′(x)=y′, where y=f(x)
use first principles to find the derivative of simple polynomials, up to and including degree 3
understand the concept of the derivative as a function
sketch the derivative function (or gradient function) for a given graph of a function, without the use of algebraic techniques and in a variety of contexts including motion in a straight line
establish that f′(x)=0 at a stationary point, f′(x)>0 when the function is increasing and f′(x)<0 when it is decreasing, to form a framework for sketching the derivative function
identify families of curves with the same derivative function
use technology to plot functions and their gradient functions
interpret and use the derivative at a point as the instantaneous rate of change of a function at that point
examine examples of variable rates of change of non-linear functions
use the formula dxd(xn)=nxn−1 for all real values of n
differentiate a constant multiple of a function and the sum or difference of two functions
understand and use the product, quotient and chain rules to differentiate functions of the form f(x)g(x), g(x)f(x) and f(g(x)) where f(x) and g(x) are functions
apply the product rule: If h(x)=f(x)g(x) then h′(x)=f(x)g′(x)+f′(x)g(x), or if u and v are both functions of x then dxd(uv)=udxdv+vdxdu
apply the quotient rule: If h(x)=g(x)f(x) then h′(x)=g(x)2g(x)f′(x)−f(x)g′(x), or if u and v are both functions of x then dxd(vu)=v2vdxdu−udxdv
apply the chain rule: If h(x)=f(g(x)) then h′(x)=f′(g(x))g′(x), or if y is a function of u and u is a function of x then dxdy=dudy×dxdu
calculate derivatives of power functions to solve problems, including finding an instantaneous rate of change of a function in both real life and abstract situations
use the derivative in a variety of contexts, including to finding the equation of a tangent or normal to a graph of a power function at a given point
determine the velocity of a particle given its displacement from a point as a function of time
determine the acceleration of a particle given its velocity at a point as a function of time
C2.1: Differentiation of trigonometric, exponential and logarithmic functions
establish the formulae dxd(sinx)=cosx and dxd(cosx)=−sinx by numerical estimations of the limits and informal proofs based on geometric constructions
calculate derivatives of trigonometric functions
establish and use the formula dxd(ax)=(lna)ax
using graphing software or otherwise, sketch and explore the gradient function for a given exponential function, recognise it as another exponential function and hence determine the relationship between exponential functions and their derivatives
calculate the derivative of the natural logarithm function dxd(lnx)=x1
apply the product, quotient and chain rules to differentiate functions of the form f(x)g(x), g(x)f(x) and f(g(x)) where f(x) and g(x) are any of the functions covered in the scope of this syllabus, for example #xe^x, $\tan x, xn1, xsinx, e−xsinx and f(ax+b)
use the composite function rule (chain rule) to establish that dxd{ef(x)}=f′(x)ef(x)
use the composite function rule (chain rule) to establish that dxd{lnf(x)}=f(x)f′(x)
use the logarithmic laws to simplify an expression before differentiating
use the composite function rule (chain rule) to establish and use the derivatives of sin(f(x)), cos(f(x)) and tan(f(x))
use the first derivative to investigate the shape of the graph of a function
deduce from the sign of the first derivative whether a function is increasing, decreasing or stationary at a given point or in a given interval
use the first derivative to find intervals over which a function is increasing or decreasing, and where its stationary points are located
use the first derivative to investigate a stationary point of a function over a given domain, classifying it as a local maximum, local minimum or neither
determine the greatest or least value of a function over a given domain (if the domain is not given, the natural domain of the function is assumed) and distinguish between local and global minima and maxima
define and interpret the concept of the second derivative as the rate of change of the first derivative function in a variety of contexts, for example recognise acceleration as the second derivative of displacement with respect to time
understand the concepts of concavity and points of inflection and their relationship with the second derivative
use the second derivative to determine concavity and the nature of stationary points
understand that when the second derivative is equal to 0 this does not necessarily represent a point of inflection
use any of the functions covered in the scope of this syllabus and their derivatives to solve practical and abstract problems
use calculus to determine and verify the nature of stationary points, find local and global maxima and minima and points of inflection (horizontal or otherwise), examine behaviour of a function as x→∞ and x→−∞ and hence sketch the graph of the function
solve optimisation problems for any of the functions covered in the scope of this syllabus, in a wide variety of contexts including displacement, velocity, acceleration, area, volume, business, finance and growth and decay
define variables and construct functions to represent the relationships between variables related to contexts involving optimisation, sketching diagrams or completing diagrams if necessary
use calculus to establish the location of local and global maxima and minima, including checking endpoints of an interval if required
evaluate solutions and their reasonableness given the constraints of the domain and formulate appropriate conclusions to optimisation problems
define anti-differentiation as the reverse of differentiation and use the notation ∫f(x)dx for anti- derivatives or indefinite integrals
recognise that any two anti-derivatices of f(x) differ by a constant
establish and use the formula ∫xndx=n+11xn+1+c, for n=−1
establish and use the formula ∫f′(x)[f(x)]ndx=n+11[f(x)]n+1+c where n=−1 (the reverse chain rule)
establish and use the formulae for the anti-derivatives of sin(ax+b), cos(ax+b) and sec2(ax+b)
establish and use the formulae ∫exdx=ex+c and ∫eax+b\, dx=\frac{1}{a}e^{ax+b}+c$
establish and use the formulae ∫x1dx=ln∣x∣+c and ∫f(x)f′(x)dx=ln∣f(x)∣+c for x=0, f(x)=0, respectively
establish and use the formulae ∫axdx=lnaax+c
recognise and use linearity of anti-differentiation
examine families of anti-derivatives of a given function graphically
determine indefinite integrals of the form ∫f(ax+b)dx
determine f(x), given f′(x) and an initial condition f(a)=b in a range of practical and abstract applications including coordinate geometry, business and science
know that 'the area under a curve' refers to the area between a function and the x-axis, bounded by two values of the independent variable and interpret the area under a curve in a variety of contexts
determine the approximate area under a curve using a variety of shapes including squares, rectangles (inner and outer rectangles), triangles or trapezia
consider functions which cannot be integrated in the scope of this syllabus, for example f(x)=lnx, and explore the effect of increasing the number of shapes used
use the notation of the definite integral ∫abf(x)dx for the area under the curve y=f(x) from x=a to x=b if f(x)≥0
use the Trapezoidal rule to estimate areas under curves
use geometric arguments (rather than substitution into a given formula) to approximate a definite integral of the form ∫abf(x)dx, where f(x)≥0, on the interval a≤x≤b, by dividing the area into a given number of trapezia with equal widths
demonstrate understanding of the formula: ∫abf(x)dx≈2nb−a[f(a)+f(b)+2{f(x1)+⋯+f(xn−1)}] where a=x0 and b=xn, and the values of x0, x1, x2, …, xn are found by dividing the interval a≤x≤b into n sub-intervals
use geometric ideas to find the definite integral ∫abf(x)dx where f(x) is positive throughout an interval a≤x≤b and the shape of f(x) allows such calculations, for example when f(x) is a straight line in the interval or f(x) is a semicircle in the interval
understand the relationship of position to signed areas, namely that the signed area above the horizontal axis is positive and the signed area below the horizontal axis is negative
using technology or otherwise, investigate the link between the anti-derivative and the area under a curve
interpret ∫abf(x)dx as a sum of signed areas
understand the concept of the signed area function F(x)=∫axf(t)dt
use the formula ∫abf(x)dx=F(b)−F(a), where F(x) is the anti-derivative of f(x), to calculate definite integrals
understand and use the Fundamental Theorem of Calculus, F′(x)=dxd[∫axf(t)dt]=f(x) and illustrate its proof geometrically
use symmetry properties of even and odd functions to simplify calculations of area
recognise and use the additivity and linearity of definite integrals
calculate total change by integrating instantaneous rate of change
calculate the area under a curve
calculate areas between curves determined by any functions within the scope of this syllabus
integrate functions and find indefinite or definite integrals and apply this technique to solving practical problems
derive the logarithmic laws from the index laws and use the algebraic properties of logarithms to simplify and evaluate logarithmic expressions logam+logan=loga(mn), logam−logan=loga(nm), loga(mn)=nlogam logaa=1, loga1=0, logax1−logax
consider different number bases and prove and use the change of base law logax=logbalogbx
interpret and use logarithmic scales, for example decibels in acoustics, different seismic scales for earthquake magnitude, octaves in music or pH in chemistry
solve algebraic, graphical and numerical problems involving logarithms in a variety of practical and abstract contexts, including applications from financial, scientific, medical and industrial contexts
E1.3: The exponential function and natural logarithms
establish and use the formula dxd(ex)=ex
using technology, sketch and explore the gradient function of exponential functions and determine that there is a unique number e≈2.71828182845, for which dxd(ex)=ex where e is called Euler's number
apply the differentiation rules to functions involving the exponential function, f(x)=keax, where k and a are constants
work with natural logarithms in a variety of practical and abstract contexts
define the natural logarithm lnx=logex for the exponential function f(x)=ex
recognise and use the inverse relationship of functions y=ex and y=lnx
use the natural logarithm and the relationships elnx=x where x>0, and ln(ex)=x for all real x in both algebraic and practical contexts
use the logarithmic laws to simplify and evaluate natural logarithmic expressions and solve equations
E1.4: Graphs and applications of exponential and logarithmic functions
solve equations involving indices using logarithms
graph an exponential function of the form y=ax for a>0 and its transformations y=kax+c and y=kax+b where k, b and c are constants
interpret the meaning of the intercepts of an exponential graph and explain the circumstances in which these do not exist
establish and use the algebraic properties of exponential functions to simplify and solve problems
solve problems involving exponential functions in a variety of practical and abstract contexts, using technology, and algebraically in simple cases
graph a logarithmic function y=logax for a>0 and its transformations y=klogax+c, using technology or otherwise, where k and c are constants
recognise that the graphs of y=ax and y=logax are reflections in the line y=x
model situations and solve simple equations involving logarithmic or exponential functions algebraically and graphically
identify contexts suitable for modelling by exponential and logarithmic functions and use these functions to solve practical problems
understand and use the concepts and language associated with theoretical probability, relative frequency and the probability scale
solve problems involving simulations or trials of experiments in a variety of contexts
identify factors that could complicate the simulation of real-world events
use relative frequencies obtained from data as point estimates of probabilities
use arrays and tree diagrams to determine the outcomes and probabilities for multi-stage experiments
use Venn diagrams, set language and notation for events, including Aˉ (or A′ or Ac) for the complement of an event A, A∩B for 'A and B', the intersection of events A and B, and A∪B for 'A or B', the union of events A and B, and recognise mutually exclusive events
use everyday occurrences to illustrate set descriptions and representations of events and set operations
establish and use the rules: P(Aˉ)=1−P(A) and P(A∪B)=P(A)+P(B)−P(A∩B)
understand the notion of conditional probability and recognise and use language that indicates conditionality
use the notation P(A∣B) and the formula P(A∣B)=P(B)P(A∩B), P(B)=0 for conditional probability
understand the notion of independence of an event A from an event B is defined by P(A∣B)=P(A)
use the multiplication law P(A∩B)=P(A)P(B) for independent events A and B and recognise the symmetry of independence in simple probability situations
know that a random variable describes some aspect in a population from which samples can be drawn
know the difference between a discrete random variable and a continuous random variable
use discrete random variables and associated probabilities to solve practical problems
use relative frequencies obtained from data to obtain point estimates of probabilities associated with a discrete random variable
recognise uniform discrete random variables and use them to model random phenomena with equally likely outcomes
examine simple examples of non-uniform discrete random variables, and recognise that for any random variable, X, the sum of the probabilities is 1
recognise the mean or expected value, E(X)=μ, of a discrete random variable X as a measure of centre, and evaluate it in simple cases
recognise the variance, Var(X) and standard deviation (σ) of a discrete random variable as measures of spread, and evaluate them in simple cases
use Var(X)=E((X−μ)2)=E(X2)−μ2 for a random variable and Var(x)=σ2 for a dataset
understand that a sample mean, xˉ, is an estimate of the associated population mean μ, and that the sample standard deviation, s, is an estimate of the associated population standard deviation, σ, and that these estimates get better as the sample size increases and when we have independent observations
MA-S2 Descriptive Statistics and Bivariate Data AnalysisYear 12
S2.1: Data (grouped and ungrouped) and summary statistics
classify data relating to a single random variable
organise, interpret and display data into appropriate tabular and/or graphical representations including Pareto charts, cumulative frequency distribution tables or graphs, parallel box-plots and two-way tables
compare the suitability of different methods of data presentation in real-world contexts
summarise and interpret grouped and ungrouped data through appropriate graphs and summary
statistics
calculate measures of central tendency and spread and investigate their suitability in real-world contexts and use to compare large datasets
investigate real-world examples from the media illustrating appropriate and inappropriate uses or misuses of measures of central tendency and spread
identify outliers and investigate and describe the effect of outliers on summary statistics
use different approaches for identifying outliers, for example consideration of the distance from the mean or median, or the use of below Q1−1.5×IQR and above Q3+1.5×IQR as criteria, recognising and justifying when each approach is appropriate
investigate and recognise the effect of outliers on the mean, median and standard deviation
describe, compare and interpret the distributions of graphical displays and/or numerical datasets and report findings in a systematic and concise manner
construct a bivariate scatterplot to identify patterns in the data that suggest the presence of an association
use bivariate scatterplots (constructing them where needed), to describe the patterns, features and associations of bivariate datasets, justifying any conclusions
describe bivariate datasets in terms of form (linear/non-linear) and in the case of linear, also the direction (positive/negative) and strength of association (strong/moderate/weak)
identify the dependent and independent variables within bivariate datasets where appropriate
describe and interpret a variety of bivariate datasets involving two numerical variables using real-world examples in the media or those freely available from government or business datasets
calculate and interpret Pearson’s correlation coefficient (r) using technology to quantify the strength of a linear association of a sample
model a linear relationship by fitting an appropriate line of best fit to a scatterplot and using it to describe and quantify associations
fit a line of best fit to the data by eye and using technology
fit a least-squares regression line to the data using technology
interpret the intercept and gradient of the fitted line
use the appropriate line of best fit, both found by eye and by applying the equation of the fitted line, to make predictions by either interpolation or extrapolation
distinguish between interpolation and extrapolation, recognising the limitations of using the fitted line to make predictions, and interpolate from plotted data to make predictions where appropriate
solve problems that involve identifying, analysing and describing associations between two numeric variables
construct, interpret and analyse scatterplots for bivariate numerical data in practical contexts
demonstrate an awareness of issues of privacy and bias, ethics, and responsiveness to diverse groups and cultures when collecting and using data
use relative frequencies and histograms obtained from data to estimate probabilities associated with a continuous random variable
understand and use the concepts of a probability density function of a continuous random variable
know the two properties of a probability density function: f(x)≥0 for all real x and ∫−∞∞f(x)dx=1
define the probability as the area under the graph of the probability density function using the notation P(X≤r)=∫arf(x)dx, where f(x) is the probability density function defined on [a,b]
examine simple types of continuous random variables and use them in appropriate contexts
explore properties of a continuous random variable that is uniformly distributed
find the mode from a given probability density function
obtain and analyse a cumulative distribution function with respect to a given probability density function
understand the meaning of a cumulative distribution function with respect to a given probability density function
use a cumulative distribution function to calculate the median and other percentiles
identify the numerical and graphical properties of data that is normally distributed
calculate probabilities and quantiles associated with a given normal distribution using technology and otherwise, and use these to solve practical problems
identify contexts that are suitable for modelling by normal random variables, eg the height of a group of students
recognise features of the graph of the probability density function of the normal distribution with mean μ and standard deviation σ, and the use of the standard normal distribution
visually represent probabilities by shading areas under the normal curve, eg identifying the value above which the top 10% of data lies
understand and calculate the 𝑧-score (standardised score) corresponding to a particular value in a dataset
use the formula z=σx−μ, where μ is the mean and σ is the standard deviation
describe the z-score as the number of standard deviations a value lies above or below the mean
use z-scores to compare scores from different datasheets, for example comparing students' subject examination scores
use collected data to illustrate the empirical rules for normally distributed random variables
apply the empirical rule to a variety of problems
sketch the graphs of f(x)=e−x2 and the probability density function for the normal distribution f(x)=σ2π1e−2σ2(x−μ)2 using technology
verify, using the Trapezoidal rule, the results concerning the areas under the normal curve
use z-scores to identify probabilities of events less or more extreme than a given event
use statistical tables to determine probabilities
use technology to determine probabilities
use z-scores to make judgements related to outcomes of a given event or sets of data
solve compound interest problems involving financial decisions, including a home loan, a savings account, a car loan or superannuation
identify an annuity (present or future value) as an investment account with regular, equal contributions and interest compounding at the end of each period, or a single-sum investment from which regular, equal withdrawals are made
use technology to model an annuity as a recurrence relation and investigate (numerically or graphically) the effect of varying the interest rate or the amount and frequency of each contribution or a withdrawal on the duration and/or future or present value of the annuity
use a table of interest factors to perform annuity calculations, eg calculating the present or future value of an annuity, the contribution amount required to achieve a given future value or the single sum that would produce the same future value as a given annuity
know the difference between a sequence and a series
recognise and use the recursive definition of an arithmetic sequence: Tn=Tn−1+d, T1=a
establish and use the formula for the nth term (where n is a positive integer) of an arithmetic sequence: Tn=a+(n−1)d, where a is the first term and d is the common difference, and recognise its linear nature
establish and use the formulae for the sum of the first 𝑛 terms of an arithmetic sequence:
Sn2n(a+l) where l is the last term in the sequence and Sn=2n{2a+(n−1)d}
identify and use arithmetic sequences and arithmetic series in contexts involving discrete linear growth or decay such as simple interest
recognise and use the recursive definition of a geometric sequence: Tn=rTn−1, T1=a
establish and use the formula for the nth term of a geometric sequence: Tn=arn−1, where a is the first term, r is the common ratio and n is a positive integer, and recognise its exponential nature
establish and use the formula for the sum of the first 𝑛 terms of a geometric sequence: Sn=(1−r)a(1−rn)=r−1a(rn−1)
derive and use the formula for the limiting sum of a geometric series with ∣r∣<1:S=1−ra
understand the limiting behaviour as 𝑛 → ∞ and its application to a geometric series as a limiting sum
use the notation n→∞limrn=0 for ∣r∣<1
M1.4: Financial applications of sequences and series
use geometric sequences to model and analyse practical problems involving exponential growth and decay
calculate the effective annual rate of interest and use results to compare investment returns and cost of loans when interest is paid or charged daily, monthly, quarterly or six-monthly
solve problems involving compound interest loans or investments, eg determining the future value of an investment or loan, the number of compounding periods for an investment to exceed a given value and/or the interest rate needed for an investment to exceed a given value
recognise a reducing balance loan as a compound interest loan with periodic repayments, and solve problems including the amount owing on a reducing balance loan after each payment is made
solve problems involving financial decisions, including a home loan, a savings account, a car loan or superannuation
calculate the future value or present value of an annuity by developing an expression for the sum of the calculated compounded values of each contribution and using the formula for the sum of the first n terms of a geometric sequence
verify entries in tables of future values or annuities by using geometric series