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Further Mathematics

AI prompts for senior secondary learners.

📅 36-Week WAEC Study Guide for Further Mathematics →
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Year 12 key words:binomial expansioncomplex numbersdeterminants and inversesdynamicsfunctionsmatricesmoments and rigid bodiespast questionsprobabilityprobability distributionsquadratic equationsstatics and equilibrium
+ 2 more key words
structured questionsvectors

1,271 prompts matching "Create flashcard questions for Further Maths topics"

Showing only prompts that state their year. 35 more in this subject don't name one, so choose All years to see them.

Explain-back: the chain rule in calculus

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I am in SS 3. Let me explain the chain rule for differentiation in my own words with my ow

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Explain-back: equilibrium of a rigid body

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I am in SS 3. Let me explain what conditions must hold for a rigid body to be in equilibri

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Worked example: binomial distribution problem

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I am in SS 3. Show me one fully worked binomial probability example step by step, then giv

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Spot my mistake in a Poisson probability calculation

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I am in SS 3. I calculated a Poisson probability but I'm not confident about my factorial

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Spot my mistake integrating a polynomial

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I am in SS 3. I integrated a polynomial but I think I forgot the constant of integration o

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Spot my mistake solving a moments problem

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I am in SS 3. I set up a moments equation about a pivot but I think I forgot to use a perp

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Quiz me: vectors and complex numbers mixed

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I am in SS 3. Quiz me with one vector magnitude question and one complex number modulus qu

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Quiz me: calculus differentiation rules

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I am in SS 3. Quiz me with three short differentiation questions, one needing the product

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Teach me Cramer's rule from first principles

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I am in SS 3. Teach me Cramer's rule as if I've never seen it before, starting from why de

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Teach me integration by recognising the reverse of differentiation

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I am in SS 3. Teach me how to think of integration as the reverse of differentiation, usin

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Teach me the Poisson distribution from scratch

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I am in SS 3. Teach me what the Poisson distribution is, when we use it instead of binomia

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