Binomial Distribution

The binomial distribution models the number of successes in a fixed number of independent trials, each with the same probability of success $p$. Its probability is $P(X=r)={}^{n}C_{r}\,p^{r}(1-p)^{n-r}$, with mean $np$.

Tossing a coin a set number of times is a classic example.

You meet Binomial Distribution in the Probability Distribution chapter of SPM Additional Mathematics. Knowing the term precisely matters in the exam: questions often hinge on reading a keyword correctly, and because SPM marking is analytic, using the right definition in your working helps secure method marks.

Our teachers make sure a student can not only recite what Binomial Distribution means but use it fluently in a full solution.

Because the SPM Add Math paper is bilingual (BM/EN), it helps to know this term in each language: Binomial Distribution (EN) · Taburan Binomial (BM) · 二项分布 (中文)

Other key terms from the Probability Distribution chapter you may want to check:

• Random Variable
• Discrete Random Variable
• Continuous Random Variable
• Probability Distribution
• Normal Distribution
• Standard Normal Distribution