• Use composite functions in context: (f o g)(x)=f(g(x)).
• Find inverse functions, including necessary domain restrictions.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
2
Learning objective
AHL 2.8 (HL)—Graph transformations
New
• Apply translations, reflections, vertical/horizontal stretches and composite transformations.
• Perform transformations on SL/AHL model functions and real-context functions.
• Understand order of transformations.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
3
Learning objective
AHL 2.9 (HL)—Further modelling functions
New
• Model with half-life exponential, natural logarithmic, sinusoidal, logistic and piecewise functions.
• For sinusoidal models, use radians unless degrees are specified; phase shift is horizontal translation.
• Logistic models use carrying capacity L; piecewise models may require continuity of parameters.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.
4
Learning objective
AHL 2.10 (HL)—Logarithmic scaling and linearization
New
• Scale very large/small numbers using logarithms.
• Linearize data with logarithms to test exponential or power relationships.
• Interpret log-log and semi-log graphs; drawing/sketching them is not required in exams.
0%
Mastery
0
Attempts
0
Mistakes
Start with the concept explanation, then practise to create mastery evidence.