Mathematics: Applications and Interpretation HL
Functions
Official Mathematics: applications and interpretation HL strand for the current first-assessment-2021 syllabus.
Evaluate logistic models
Develop evaluate logistic models through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.
Compare regression model output
Develop compare regression model output through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.
Recover power models from linearized data
Develop recover power models from linearized data through finite, checked AI HL practice aligned to current syllabus point AIHL 2.10.
Interpret sinusoidal model parameters
Develop interpret sinusoidal model parameters through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.
Calculate exponential half-life values
Develop calculate exponential half-life values through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.
Recover exponential models from semi-log lines
Develop recover exponential models from semi-log lines through finite, checked AI HL practice aligned to current syllabus point AIHL 2.10.
Recover power models from log-log lines
Develop recover power models from log-log lines through finite, checked AI HL practice aligned to current syllabus point AIHL 2.10.
Enforce continuity in piecewise models
Develop enforce continuity in piecewise models through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.
Estimate logistic half-capacity time
Develop estimate logistic half-capacity time through finite, checked AI HL practice aligned to current syllabus point AIHL 2.9.