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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
Audience Teacher
Purpose Teaching resource
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 (V9.0) content descriptions
AC9M8ST01
Investigate techniques for data collection including census, sampling, experiment and observation, and explain the practicalities and implications of obtaining data through these techniques

AC9M8ST03
Compare variations in distributions and proportions obtained from random samples of the same size drawn from a population and recognise the effect of sample size on this variation

AC9M7ST02
Create different types of numerical data displays including stem-and-leaf plots using software where appropriate; describe and compare the distribution of data, commenting on the shape, centre and spread including outliers and determining the range, median, mean and mode

Numeracy progression Interpreting and representing data (P5, P7)