Mathematics Advanced 11–12 – Year 12 · Random variables · The normal distribution · Topic: Data & statistics · Year 12
Use graphing applications to explore the normal distribution, graph the probability density function f(x) = 1/(σ√(2π))e^(- (((x - μ))²)/(2σ²)), verify the empirical rule and graph the cumulative distribution function
Dot point ID advanced-year-12-random-variables/dp-dcbaf668 · See it on the NSW Curriculum website ↗
↩SupportBuild the prerequisite skills first · 0 resources★EnrichExtension & rich tasks · 0 resources
Outcomes for this focus area (MAV-12-07)
MAV-12-07 solves problems involving discrete probability distributions, continuous random variables and the normal distributionCore resources for this dot point
On-level resources, grouped by type. Need the building blocks? Use Support. Ready for more? Use Enrich.
Interactive tool
- Desmos Graphing CalculatorUse it for: Graph lines, parabolas and exponentials live; find intersections to solve simultaneous equations.
- Interactive toolEnrichmentGeoGebra ClassicUse it for: Dynamic geometry and graphing for constructions and proofs.