Clarification in SD

[atar.notes.user]

Hi guys, just need clarification on what these dot points mean

OUTCOME 1:
key knowledge:
* functional relations that describe properties, symmetry and equivalence
* the concepts of a random variable (discrete and continuous), bernoulli trials and probability distributions, the parameters used to define a distribution and properties of probability distributions and their graphs (i thought we didnt need to know any graphs?)
Key skills:
* sketch by hand graphs of polynomial functions up to degree 4; simple power functions, y = ax (using key points  −1, 1  , (0,1) and (1, a)); log (x); log (x); and simple transformations of these (will they only test on those coordinates?^)
* analyse a probability mass function or probability density function and the shape of its graph in terms of the defining parameters for the probability distribution and the mean and variance of the probability distribution (idek what this is saying)

OUTCOME 3
key knowledge:
* similarities and differences between formal mathematical expressions and their representation by technology (??)

[Yueni]

You seem to be all over the place in the study design here.
For probability: you nee to know what their graphs look like, for example, when p=0.5 it is symmetrical, what about when p<0.5? or p>0.5? Just because it has never been assessed does not mean it cannot be assessed. The study design covers everything they are able to test you on. (See things like addition of ordinates).

Outcome 3 is telling you there are difference to what you see on your calculator and what is used in proper mathematics. The latter is what you will need to be writing on your exams.
For example:
On your calculator you may see: normCDF(-\infty, 0, 0, 1) = 0.5

However, on your exam paper you will write: X~N(0, 1). Pr(X<0)=0.5