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In all these years of teaching, I realised that many JC students still do not know a handful of things. So I will list down a few random ones that I can recall off-hand, and of course expand a [...]

Here we look at an important concept that is an extension from Bayes Theorem, which we discussed briefly. The condition expectation identity says The condition variance identity says Here both [...]

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 [...]

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 [...]

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 [...]

This page contains all questions and answers asked by students from this class. The most recent questions will be at the top. MF26

This page contains all questions and answers asked by students from this class. The most recent questions will be at the top. MF26 10. (i) 11. (i) Since P is on l, for some t perpendicular to l

This page contains all questions and answers asked by students from this class. The most recent questions will be at the top. MF26 Differentiate with respect to t. Substitute into given [...]

This page contains all questions and answers asked by students from this class. The most recent questions will be at the top. MF26

This page contains all questions and answers asked by students from this class. The most recent questions will be at the top. MF26 … Since the is a constant, the series convergences. The [...]