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← Math Methods syllabus

WAMath Methods

Unit 3

17 dot points across 17 inquiry questions. Click any dot point for a focused answer with worked past exam questions where available.

How do we calculate exact and cumulative binomial probabilities, including at-least and at-most events?

How do we combine intercepts, stationary points, concavity and asymptotes into a complete and accurate sketch of a curve?

Why is the natural exponential function its own derivative, and how do we differentiate exponential functions in general?

How do we differentiate the natural logarithm function and logarithms of more complex expressions?

How do we differentiate sine, cosine and tangent functions, including composite trigonometric expressions?

What is a discrete random variable, and what conditions make a table of probabilities a valid probability distribution?

How do we model and analyse discrete random variables and the binomial distribution?

What is the expected value of a discrete random variable, and how do we use it to make decisions?

How do we differentiate, integrate and apply exponential and logarithmic functions?

How do the product, quotient and chain rules let us differentiate and apply more complex functions?

What are the mean and variance of a binomial distribution, and how do the parameters n and p shape it?

How do we use differentiation to find the maximum or minimum value of a quantity in a real context?

How does the derivative describe how fast a quantity changes, and how do we link the rates of related quantities?

How do we model a single trial with exactly two outcomes, and what are its mean and variance?

How do we differentiate a function that is a product or a quotient of two simpler functions?

What does the second derivative tell us about the shape of a curve and the nature of its stationary points?

How do we measure the spread of a discrete random variable around its mean?