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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.
|Year level(s)||Year 8|
|Teaching strategies and pedagogical approaches||Mathematics investigation|
|Keywords||mean, maths investigations, measures of spread, median, data collection, sampling bias|
|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
reSolve Maths by Inquiry
© Australian Government Department of Education, Skills and Employment 2021. Creative Commons BY-NC-SA 4.0.