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ACMGM005

compare prices and values using the unit cost method

ACMGM052

construct a scatterplot to identify patterns in the data suggesting the presence of an association

ACMGM057

model a linear relationship by fitting a least-squares line to the data

review the statistical investigation process; for example, identifying a problem and posing a statistical question, collecting or obtaining data, analysing the data, interpreting and communicating the results.

ACMGM048

review the statistical investigation process; for example, identifying a problem and posing a statistical question, collecting or obtaining data, analysing the data, interpreting and communicating the results.

ACMGM051

describe an association in terms of differences observed in percentages across categories in a systematic and concise manner, and interpret this in the context of the data.

ACMGM092

fit a least-squares line to model long-term trends in time series data.

ACMGM093

implement the statistical investigation process to answer questions that involve the analysis of time series data.

ACMGM067

use recursion to generate an arithmetic sequence

ACMGM071

use recursion to generate a geometric sequence

ACMGM008

calculate the dividend paid on a portfolio of shares, given the percentage dividend or dividend paid per share, for each share; and compare share values by calculating a price-to-earnings ratio.

ACMGM056

use a scatterplot to identify the nature of the relationship between variables

ACMGM033

implement the statistical investigation process to answer questions that involve comparing the data for a numerical variable across two or more groups; for example, are Year 11 students the fittest in the school?

ACMGM022

use the scale factor for two similar figures to solve linear scaling problems

ACMGM060

use the coefficient of determination to assess the strength of a linear association in terms of the explained variation

ACMGM106

use ESTs and LSTs to locate the critical path(s) for the project

ACMGM107

use the critical path to determine the minimum time for a project to be completed

ACMGM029

with the aid of an appropriate graphical display (chosen from dot plot, stem plot, bar chart or histogram), describe the distribution of a numerical dataset in terms of modality (uni or multimodal), shape (symmetric versus positively or negatively skewed), …

ACMGM013

use matrices for storing and displaying information that can be presented in rows and columns; for example, databases, links in social or road networks

ACMGM017

review Pythagoras’ Theorem and use it to solve practical problems in two dimensions and for simple applications in three dimensions.

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