| Exam Board | Edexcel |
|---|---|
| Module | S1 (Statistics 1) |
| Marks | 4 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Discrete Probability Distributions |
| Type | Direct probability from given distribution |
| Difficulty | Easy -2.0 This is a pure recall question requiring only basic definitions and examples from introductory statistics. No calculation, problem-solving, or application is needed—students simply need to state examples like 'number of heads in coin tosses' and 'height of students', then name distributions like 'binomial (discrete)' and 'normal (continuous)'. This is significantly easier than average A-level questions. |
| Spec | 2.04b Binomial distribution: as model B(n,p)2.04e Normal distribution: as model N(mu, sigma^2)5.02a Discrete probability distributions: general5.03a Continuous random variables: pdf and cdf |
| Answer | Marks | Guidance |
|---|---|---|
| (a) (i) e.g. score on a die | B1 | (ii) e.g. ages in a population |
| (b) Discrete uniform (discrete), normal distribution (continuous) | B1 B1 | Total: 4 marks |
(a) (i) e.g. score on a die | B1 | (ii) e.g. ages in a population | B1 |
(b) Discrete uniform (discrete), normal distribution (continuous) | B1 B1 | **Total: 4 marks**\begin{enumerate}[label=(\alph*)]
\item Give one example in each case of a quantity which could be modelled as
\begin{enumerate}[label=(\roman*)]
\item a discrete random variable,
\item a continuous random variable.
\end{enumerate}
[2 marks]
\item Name one discrete distribution and one continuous distribution, stating clearly which is which. [2 marks]
\end{enumerate}
\hfill \mbox{\textit{Edexcel S1 Q2 [4]}}