Unit 6 · 4 lessons
Data and Mathematical Modelling
How data is collected, stored and used in society and what can go wrong, how to summarize one-variable data with centre, spread and box plots, how to read relationships in two-variable data, and how to build and test a mathematical model.
- 40 practice questions
- 31 flashcards
- 2 interactive lessons
Lessons
- 1Data in Our Lives: Collection, Use and ConsequencesPhones, apps, stores and governments collect huge amounts of data. Learn what big data is, the stages data passes through, why privacy and consent matter, how bias creeps into data, and how to spot a graph that misleads.9 questions
- 2Measures of Centre, Spread and Box PlotsSummarize a list of numbers with its centre (mean, median, mode) and its spread (range, quartiles, interquartile range). Learn the quartile method used in this course, how to test for outliers with the 1.5 times IQR rule, and how to draw and read a box plot.Interactive12 questions
- 3Scatter Plots, Correlation and Lines of Best FitPlot two-variable data on a scatter plot, describe the correlation by its direction, strength and form, draw a line of best fit and write its equation, use technology to fit linear, quadratic and exponential models, and know when a prediction can be trusted.Interactive10 questions
- 4The Mathematical Modelling CycleTurn a real question into mathematics: state the question, make assumptions and choose variables, plan and collect data, build a model, test it against new data, and report the answer with its limits. Work through one complete model from start to finish.9 questions