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reSolve: Sports Salaries

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 data through random sampling. Each lesson is outlined in detail including curriculum links, vocabulary, materials needed, sample answers, discussion points, spreadsheets of data and student resources. This sequence is part of the reSolve: Mathematics by Inquiry program.

Additional details

Year level(s) Year 8
Audience Teacher
Purpose Teaching resource
Format Downloadable resources
Teaching strategies and pedagogical approaches Mathematics investigation
Keywords mean, maths investigations, measures of spread, median, data collection, sampling bias

Curriculum alignment

Curriculum connections Numeracy
Strand and focus Statistics, Build understanding
Topics Data representation and interpretation
AC: Mathematics content descriptions
ACMSP284 Investigate techniques for collecting data, including census, sampling and observation
ACMSP206 Explore the practicalities and implications of obtaining data through sampling using a variety of investigative processes
ACMSP293 Explore the variation of means and proportions of random samples drawn from the same population
ACMSP207 Investigate the effect of individual data values, including outliers, on the mean and median
National numeracy learning progression Interpreting and representing data - IRD5

Copyright details


reSolve Maths by Inquiry


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