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Math Methods flashcards

43 TCE Math Methods cards across 2 modules (5 definitions, 26 key facts, 1 fill-the-gap, 11 formulas). Each session gives you 20 cards, due cards first. Swipe right for easy, left for hard, down for again. Keyboard: Space to flip, 1 to 4 to rate.

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  1. Definition

    Discrete random variables and the binomial distribution - TCE Mathematics Methods (Tasmania)

    Define Conditions for a binomial distribution

    There are a fixed number nn of trials; each trial has only two outcomes (success or failure); the probability of success pp is constant across trials; and the trials are independent.

  2. Definition

    Interval estimates and confidence intervals - TCE Mathematics Methods (Tasmania)

    Define What "95% confidence" means

    If you repeated the whole sampling process many times and built an interval each time, about 95% of those intervals would contain the true proportion pp.

  3. Definition

    Exponential and logarithmic functions (TCE Mathematics Methods, Tasmania)

    Define The natural base e

    e≈2.71828e \approx 2.71828 is the base for which the curve y=exy = e^x has gradient exactly equal to its own height at every point.

  4. Definition

    Random sampling and the distribution of sample proportions (TCE Mathematics Methods, Tasmania)

    Define The normal approximation

    For a large random sample, the sampling distribution of p^\hat{p} is approximately normal, centred at pp with standard deviation p(1−p)/n\sqrt{p(1-p)/n}.

  5. Definition

    The second derivative, concavity and points of inflection (TCE Mathematics Methods, Tasmania)

    Define Concave up and concave down

    A curve is concave up on an interval if it bends upward like a cup, so the gradient is increasing and f′′(x)>0f''(x)>0.

  6. Key fact

    Antiderivatives of exponential and trigonometric functions (TCE Mathematics Methods, Tasmania)

    Tell me about Checking by differentiating back

    The reliable way to confirm any antiderivative is to differentiate your answer and check you recover the original integrand. For instance, differentiating −13cos⁡(3x)-\tfrac{1}{3}\cos(3x) gives −13⋅(−3sin⁡(3x))=sin⁡(3x)-\tfrac{1}{3}\cdot(-3\sin(3x)) = \sin(3x), which confirms the antiderivative of sin⁡(3x)\sin(3x).

  7. Fill the gap

    Further differentiation and applications (TCE Mathematics Methods, Tasmania)

    To classify them, use the ___: if f′′(x)>0f''(x) > 0 the point is a local minimum, if f′′(x)<0f''(x) < 0 it is a local maximum.

    To classify them, use the second derivative: if f′′(x)>0f''(x) > 0 the point is a local minimum, if f′′(x)<0f''(x) < 0 it is a local maximum.

  8. Key fact

    Areas between two curves (TCE Mathematics Methods, Tasmania)

    Tell me about Finding the limits

    The limits are almost never given directly; you find them by setting the curves equal. Solve f(x)=g(x)f(x) = g(x) to find where the curves meet.

  9. Key fact

    Differentiation of trigonometric functions (TCE Mathematics Methods, Tasmania)

    Tell me about Combining with the chain rule

    The inner derivative is exactly the factor students most often drop.

  10. Key fact

    Continuous random variables and the normal distribution - TCE Mathematics Methods (Tasmania)

    Tell me about Standardising to z-scores

    Every normal distribution can be converted to the standard normal Z∼N(0,1)Z \sim N(0,1) by standardising. This measures how many standard deviations xx is from the mean.

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