Continuous Random Variables
We look at the definitions first. A continuous random variable, X, has a probability density function (PDF), if and for all events A The CDF and PDF are related by It is good to know that we have [...]
Discrete Random Variables
As usual, definitions first. The cumulative distribution function (CDF), of a random variable, X, is defined by A discrete random variable, X, has probability mass function (PMF), , if and for [...]
New Year, New Syllabus!
Happy 2016 to everyone! I’ve a really exciting news to share now with regards to H2 Mathematics. As I mentioned in a post before, I felt that the current H2 Mathematics can do some [...]
Deriving integration formulae
Some inquisitive students have asked me before, how the MF15 integration formulas come about. I thought I should share it too then. So we want to and yes, we know the formula can be plugged [...]
Integrating Trigonometric functions (part 4)
We shall now proceed to integrating and similarly, lets refresh the formulas we should know. (MF15) (MF15) So how do we ? I’ll first rewrite it as for some insights. We can’t adopt [...]
Integrating Trigonometric functions (part 1)
Integration is topic that eludes several students. Many think that its those “you either see or don’t” topic. But its all practice and a bit of tricks. Let me touch on [...]