Finding and Classifying Maximum and Minimum Points Using Calculus

Find stationary points of a simple polynomial by solving f'(x)=0 and read off their coordinates.

Worksheet Builder All resources ☕ Shout us a flat white Download All

Te reo Māori terms

click each term to open in Te Aka

Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • NA6-8
New NZC (2026)
  • NZC26-P4-ALG-ER-K-Y9-04

Resources

Terminology

  • Stationary point
  • Turning point
  • Local maximum
  • Local minimum
  • Point of inflection
  • First derivative test
  • Second derivative test
  • Concave up
  • Concave down
  • Optimisation

Task goals

  • Foundation: Find stationary points of a simple polynomial by solving f'(x)=0 and read off their coordinates.
  • Proficient: Classify each stationary point as a maximum, minimum, or point of inflection using the first- or second-derivative test.
  • Excellence: Apply differentiation to solve an optimisation problem in context, justifying why the found point gives a maximum or minimum value.

Where this fits

What leads into this objective, and where it goes next.

Before

Gradient

Gradient

You are here

Finding and Classifying Maximum and Minimum Points Using Calculus

Finding and Classifying Maximum and Minimum Points Using Calculus

Next

No further statements exist yet for the next step on this topic in the data.

Explore the whole sequence →