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Listed under:  Mathematics  >  Statistics and probability  >  Distributions (Statistics)  >  Variability  >  Range (Statistics)
Interactive

Syllabus bites – dot plots and two-way tables

  • TLF-IDM016356

A webpage with information and useful links related to dot plots and two-way tables

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Text

reSolve: Reconciliation data

  • TLF-IDM021059

This lesson prompts students to examine data from the Reconciliation Barometer report, collect their own local data and compare with the national findings. Students discuss the meaning of reconciliation, explore statements from Reconciliation Barometer report, design a survey to collect local data relating to the statements ...

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Text

reSolve: Scrabble Stats

  • TLF-IDM025817

This sequence of lessons invites students to collect data about letter frequency in a variety of text sources. They use their findings to critically evaluate letter point values in Scrabble, compare them to historical values, create their own themed Scrabble point values and to decipher an encoded excerpt of text. Each ...

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Text

ReSolve: What's In A Name

  • TLF-IDM025315

This sequence of two lessons examines trends in the names of students in the class, as well as trends in popular names from 2017 and 1957. Students explore data associated with these names and decide whether the mean, median or mode might be a suitable measure of central tendency. They develop their skills with spreadsheets ...

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Video

Mean, median and mode

  • TLF-IDM012414

This resource is a video demonstration, with audio commentary, about calculating the mean, median and mode of a data set. The meaning of each of the terms - mean, median and mode - is explained and the difference between them is clarified. The resource explains the process and demonstrates a handwritten method for calculating ...

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Text

reSolve: Sports Salaries

  • TLF-IDM025822

This sequence of two lessons explores data sampling methods and measures of spread applied to a real world context of sporting teams. Students explore variation in the salaries of NBA players using real world data. They calculate means and medians, draw graphs, compare findings, and investigate the implications of obtaining ...

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Video

Can you guess the weight of Uluru?

  • TLF-IDM025420

What is the "wisdom of a crowd"? Mathematician Lily Serna investigates a mathematical phenomenon that suggests that if you have a large enough crowd, with a broad variety of people making estimates, then the mean (average) answer of the crowd will be accurate! Find out if a crowd can guess the weight of Uluru from the ground ...

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Video

Graphing

  • TLF-IDM019735

Graphs can be used to illustrate the relationship between two variables. Watch this fun animation from NASA to learn the basics of graphing.

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Interactive

Plop it!

  • TLF-IDM012006

This is an interactive resource about statistics that allows students to investigate the effect of different datasets on the mean, median and mode. The student can enter data by selecting the central graph section of the screen to add, remove or move blocks, or by typing into the text area of the screen. The three different ...

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Interactive

Leisure survey

  • TLF-IDL3154

Explore how kids use their leisure time. Choose questions to ask in a survey. For example, look at the percentages of kids that play tennis, basketball or netball. Examine a table of results. Sort the data and use it to answer questions. Display the results using a suitable type of graph such as a pie chart, bar graph or ...

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Downloadable

The humanoid project

  • TLF-IDA003530

Students explore a large data set.

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Text

Sleepy statistics: Analysis: Part 2

  • TLF-IDA004604

In this second of two lessons, students represent their acquired sleep data using a back-to-back stem-and-leaf plot and draw conclusions based on statistical analysis.

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Text

Sleepy statistics: Part 1

  • TLF-IDA004605

Students conduct a sleep audit over two weeks to test hypotheses regarding improving sleep quality.

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Downloadable

Give it your best shot

  • TLF-IDA003531

Students calculate the mean, median and mode for sets of data and select the appropriate measure of centre.

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