Data 1
Outcomes
A student:

 MA31WM
describes and represents mathematical situations in a variety of ways using mathematical terminology and some conventions

 MA33WM
gives a valid reason for supporting one possible solution over another

 MA318SP
uses appropriate methods to collect data and constructs, interprets and evaluates data displays, including dot plots, line graphs and twoway tables
Content
 Students:
 Pose questions and collect categorical or numerical data by observation or survey (ACMSP118)
 pose and refine questions to construct a survey to obtain categorical and numerical data about a matter of interest
 collect categorical and numerical data through observation or by conducting surveys, eg observe the number of a particular type of insect in one square metre of the playground over time
 Construct displays, including column graphs, dot plots and tables, appropriate for data type, with and without the use of digital technologies (ACMSP119)
 tabulate collected data, including numerical data, with and without the use of digital technologies such as spreadsheets
 construct column and line graphs of numerical data using a scale of manytoone correspondence, with and without the use of digital technologies
 name and label the horizontal and vertical axes when constructing graphs (Communicating)
 choose an appropriate title to describe the data represented in a data display (Communicating)
 determine an appropriate scale of manytoone correspondence to represent the data in a data display (Reasoning)
 mark equal spaces on the axes when constructing graphs, and use the scale to label the markers (Communicating)
 construct dot plots for numerical data, eg the number of siblings of each student in the class
 consider the data type to determine and draw the most appropriate display(s), such as column graphs, dot plots and line graphs
 discuss and justify the choice of data display used (Communicating, Reasoning)
 recognise that line graphs are used to represent data that demonstrates continuous change, eg hourly temperature (Communicating)
 recognise which types of data display are most appropriate to represent categorical data (Communicating)
 Describe and interpret different data sets in context (ACMSP120)
 interpret line graphs using the scales on the axes
 describe and interpret data presented in tables, dot plots, column graphs and line graphs, eg 'The graph shows that the heights of all children in the class are between 125 cm and 154 cm'
 determine the total number of data values represented in dot plots and column graphs, eg find the number of students in the class from a display representing the heights of all children in the class (Problem Solving, Reasoning)
 identify and describe relationships that can be observed in data displays, eg 'There are four times as many children in Year 5 whose favourite food is noodles compared to children whose favourite food is chicken' (Communicating, Reasoning)
 use information presented in data displays to aid decision making, eg decide how many of each soft drink to buy for a school fundraising activity by collecting and graphing data about favourite soft drinks for the year group or school (Reasoning)
Background Information
Column graphs are useful in recording categorical data, including results obtained from simple probability experiments.
A scale of manytoone correspondence in a column graph or line graph means that one unit is used to represent more than one of what is being counted or measured, eg 1 cm on the vertical axis used to represent 20 cm of body height.
Line graphs should only be used where meaning can be attached to the points on the line between plotted points, eg temperature readings over time.
Dot plots are an alternative to a column graph when there are only a small number of data values. Each value is recorded as a dot so that the frequencies for each of the values can be counted easily.
Students need to be provided with opportunities to discuss what information can be drawn from various data displays. Advantages and disadvantages of different representations of the same data should be explicitly taught.
Categorical data can be separated into distinct groups, eg colour, gender, blood type. Numerical data is expressed as numbers and obtained by counting, or by measurement of a physical attribute, eg the number of students in a class (count) or the heights of students in a class (measurement).
Language
Students should be able to communicate using the following language: data, survey, category, display, tabulate, table, column graph, vertical columns, horizontal bars, equal spacing, title, scale, vertical axis, horizontal axis, axes, line graph, dot plots, spreadsheet.
Data 2
Outcomes
A student:

 MA31WM
describes and represents mathematical situations in a variety of ways using mathematical terminology and some conventions

 MA33WM
gives a valid reason for supporting one possible solution over another

 MA318SP
uses appropriate methods to collect data and constructs, interprets and evaluates data displays, including dot plots, line graphs and twoway tables
Content
 Students:
 Interpret and compare a range of data displays, including sidebyside column graphs for two categorical variables (ACMSP147)
 interpret data presented in twoway tables

create a twoway table to organise data involving two categorical variables, eg
 interpret sidebyside column graphs for two categorical variables, eg favourite television show of students in Year 1 compared to that of students in Year 6
 interpret and compare different displays of the same data set to determine the most appropriate display for the data set
 compare the effectiveness of different studentcreated data displays (Communicating)
 discuss the advantages and disadvantages of different representations of the same data (Communicating)
 explain which display is the most appropriate for interpretation of a particular data set (Communicating, Reasoning)
 compare representations of the same data set in a sidebyside column graph and in a twoway table (Reasoning)
 Interpret secondary data presented in digital media and elsewhere (ACMSP148)
 interpret data representations found in digital media and in factual texts
 interpret tables and graphs from the media and online sources, eg data about different sports teams (Reasoning)
 identify and describe conclusions that can be drawn from a particular representation of data (Communicating, Reasoning)
 critically evaluate data representations found in digital media and related claims
 discuss the messages that those who created a particular data representation might have wanted to convey (Communicating)
 identify sources of possible bias in representations of data in the media by discussing various influences on data collection and representation, eg who created or paid for the data collection, whether the representation is part of an advertisement (Communicating, Reasoning)
 identify misleading representations of data in the media, eg broken axes, graphics that are not drawn to scale (Reasoning)
Background Information
Data selected for interpretation can include census data, environmental audits of resources such as water and energy, and sports statistics.
Refer also to background information in Data 1.
Language
Students should be able to communicate using the following language: data, collect, category, display, table, column graph, scale, axes, twoway table, sidebyside column graph, misleading, bias.
Refer also to language in Data 1.