Calculus: applications of differentiation (gradients, maxima and minima) — KCSE Mathematics
KCSE Mathematics · 110 practice questions · 4 syllabus objectives
What You'll Learn
Key learning outcomes for this topic, aligned to the KNEC KCSE syllabus.
Find stationary points of a polynomial function by solving f'(x) = 0; classify them as maxima or minima using the second derivative test
Apply differentiation to solve optimisation problems (maximum area, minimum cost) in practical contexts
Apply integration to find the area under a curve between two limits; evaluate definite integrals of simple polynomials
Calculus: applications of differentiation (gradients, maxima and minima)
Sample Questions
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State the method to find the point where the curve y = x^3 - 6x^2 + 9x has a local maximum. (3 marks)
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Define the steps to evaluate the definite integral of f(x) = 3x^3 - 2 from x = 0 to x = 2. (4 marks)
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Explain how to find the minimum value of the function f(x) = x^2 - 4x + 5. (4 marks)
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Why Practise Calculus: applications of differentiation (gradients, maxima and minima)?
KNEC Aligned
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