WACE Maths Applications study materials
WACE Maths Applications study resources

WACE Maths Applications key terms

WACE Maths Applications · Get comfortable with the vocabulary.

Bivariate data

Data recorded in pairs, where each item gives a value for two variables, such as height and arm span, so that the relationship between the variables can be examined.

Related: Explanatory variable, Scatterplot, Correlation coefficient
Explanatory variable

The variable used to predict or account for changes in another variable; it is plotted on the horizontal axis of a scatterplot.

Related: Response variable, Scatterplot, Least squares line
Response variable

The variable whose value is being predicted or explained; it is plotted on the vertical axis of a scatterplot.

Related: Explanatory variable, Least squares line, Interpolation
Scatterplot

A graph of paired data drawn as points on a grid, used to reveal the direction, strength and shape of any association between two variables.

Related: Bivariate data, Correlation coefficient, Outlier
Correlation coefficient

A number between negative one and positive one that measures the strength and direction of a straight-line association between two variables; values near zero mean a weak linear relationship.

Related: Scatterplot, Causation, Least squares line
Causation

A situation where a change in one variable directly produces a change in another; strong correlation alone does not establish it, since a third factor may influence both.

Related: Correlation coefficient, Lurking variable, Bivariate data
Lurking variable

A hidden third factor that influences both variables being compared, which can create the appearance of a direct relationship between them.

Related: Causation, Bivariate data, Extrapolation
Least squares line

The straight line fitted to bivariate data that makes the sum of squared vertical distances from the points as small as possible; used for prediction.

Related: Explanatory variable, Interpolation, Extrapolation
Interpolation

Using a fitted line or model to predict a value that lies inside the range of the observed data, which is generally a reliable use of the model.

Related: Extrapolation, Least squares line, Response variable
Extrapolation

Predicting beyond the range of the observed data using a fitted model; this is risky because the pattern may not continue outside the recorded values.

Related: Interpolation, Least squares line, Lurking variable
Outlier

A data value that lies well away from the general pattern of the other observations and may distort summary statistics or a line of best fit.

Related: Scatterplot, Five-number summary, Standard deviation
Mean

The sum of all data values divided by the number of values; a measure of centre affected strongly by unusually large or small observations.

Related: Median, Standard deviation, Outlier
Median

The middle value of an ordered data set, or the average of the two middle values when the count is even; it resists distortion by outliers.

Related: Mean, Five-number summary, Interquartile range
Standard deviation

A measure of how spread out data values are around the mean, roughly representing a typical distance of a value from the mean.

Related: Mean, Normal distribution, Variance
Variance

The average of the squared distances of data values from the mean; its square root is the standard deviation.

Related: Standard deviation, Mean, Outlier
Interquartile range

The difference between the upper and lower quartiles, giving the spread of the middle half of the data and ignoring the extreme quarters.

Related: Five-number summary, Median, Boxplot
Five-number summary

The set consisting of the minimum, lower quartile, median, upper quartile and maximum, used to describe a data set and to draw a boxplot.

Related: Boxplot, Interquartile range, Median
Boxplot

A diagram showing the five-number summary as a box from lower to upper quartile with a line at the median and whiskers to the extremes.

Related: Five-number summary, Interquartile range, Outlier
Normal distribution

A symmetric bell-shaped distribution of continuous data in which most values cluster near the mean and become rarer further away in either direction.

Related: Standard deviation, Empirical rule, Standard score
Empirical rule

For normally distributed data, about 68 percent of values lie within one standard deviation of the mean, about 95 percent within two, and about 99.7 percent within three.

Related: Normal distribution, Standard deviation, Standard score
Standard score

The number of standard deviations a value lies above or below the mean, found by subtracting the mean and dividing by the standard deviation; also called a z-score.

Related: Normal distribution, Standard deviation, Empirical rule
Seasonal index

A number describing how far a seasonally affected value typically sits above or below the trend, expressed as a percentage or a proportion of the trend value.

Related: Time series, Trend line, Moving average
Time series

A set of values recorded at regular time intervals, such as monthly sales figures, analysed to reveal trend and seasonal patterns.

Related: Trend line, Moving average, Seasonal index
Trend line

A line fitted to time series data that shows the general long-term direction of the values after short-term fluctuations are smoothed out.

Related: Time series, Moving average, Least squares line
Moving average

A smoothing method that replaces each value with the average of a fixed number of neighbouring values, reducing short-term fluctuations so the trend is clearer.

Related: Time series, Trend line, Seasonal index
Simple interest

Interest calculated only on the original amount invested or borrowed, using the formula interest equals principal times rate times time, with no interest on interest.

Related: Compound interest, Principal, Future value
Compound interest

Interest calculated on the current balance, so that interest earned in earlier periods also earns interest in later periods, producing growth faster than simple interest.

Related: Simple interest, Future value, Nominal interest rate
Principal

The original amount of money invested or borrowed before any interest is added or repaid.

Related: Simple interest, Future value, Present value
Future value

The amount an investment or loan will be worth after interest has been applied for a given time, including the original principal.

Related: Present value, Compound interest, Principal
Present value

The amount that must be invested now, at a given interest rate, to reach a required future amount; found by reversing compound interest growth.

Related: Future value, Compound interest, Principal
Nominal interest rate

The stated annual interest rate before any adjustment for how often interest is compounded within the year.

Related: Effective interest rate, Compound interest, Future value
Effective interest rate

The true annual growth rate once compounding within the year is taken into account; it exceeds the nominal rate when compounding happens more than once a year.

Related: Nominal interest rate, Compound interest, Future value
Annuity

A series of equal payments made at regular intervals, such as a regular deposit into a savings account or a loan repayment schedule.

Related: Future value, Present value, Recurrence relation
Recurrence relation

A rule that generates each value in a sequence from one or more earlier values, commonly used to model compounding balances or regular deposits.

Related: Annuity, Compound interest, Future value
Graph

A collection of vertices joined by edges, used to model networks such as roads between towns or friendships between people.

Related: Vertex, Edge, Degree
Vertex

A point or node in a graph, representing an object or location such as a town, person or junction.

Related: Edge, Degree, Graph
Edge

A link connecting two vertices in a graph, which may be weighted to represent a distance, cost or time.

Related: Vertex, Weighted graph, Degree
Degree

The number of edges meeting at a vertex; in a graph of a network it counts the direct connections that vertex has.

Related: Vertex, Edge, Eulerian trail
Weighted graph

A graph in which each edge carries a numerical value, such as a distance or cost, so that routes can be compared and optimised.

Related: Edge, Shortest path, Critical path
Shortest path

The route between two vertices whose total edge weight is as small as possible, often found by comparing accumulated weights step by step.

Related: Weighted graph, Critical path, Graph
Critical path

In a project network, the longest chain of dependent activities from start to finish, which determines the minimum possible completion time.

Related: Weighted graph, Shortest path, Float time
Float time

The amount by which a non-critical activity can be delayed without delaying the whole project; it is zero for activities on the critical path.

Related: Critical path, Weighted graph, Graph
Eulerian trail

A route through a graph that uses every edge exactly once; such a trail exists only when exactly zero or two vertices have an odd degree.

Related: Degree, Graph, Edge