Edexcel S2 2004 June — Question 4 13 marks

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2004
SessionJune
Marks13
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicBinomial Distribution
TypeVerify conditions in context
DifficultyModerate -0.8 This is a straightforward S2 binomial distribution question testing standard bookwork and routine calculations. Parts (a)-(e) involve stating conditions, identifying parameters, direct probability calculations using tables/calculator, and recalling mean/variance formulas. Part (f) requires a normal approximation with continuity correction, which is a standard S2 technique. All parts follow predictable patterns with no problem-solving or novel insight required, making this easier than average for A-level.
Spec2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities5.02b Expectation and variance: discrete random variables5.04a Linear combinations: E(aX+bY), Var(aX+bY)

  1. State two conditions under which a random variable can be modelled by a binomial distribution. [2]
In the production of a certain electronic component it is found that 10% are defective. The component is produced in batches of 20.
  1. Write down a suitable model for the distribution of defective components in a batch. [1]
Find the probability that a batch contains
  1. no defective components, [2]
  2. more than 6 defective components. [2]
  3. Find the mean and the variance of the defective components in a batch. [2]
A supplier buys 100 components. The supplier will receive a refund if there are more than 15 defective components.
  1. Using a suitable approximation, find the probability that the supplier will receive a refund. [4]

\begin{enumerate}[label=(\alph*)]
\item State two conditions under which a random variable can be modelled by a binomial distribution. [2]
\end{enumerate}

In the production of a certain electronic component it is found that 10% are defective.

The component is produced in batches of 20.

\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{1}
\item Write down a suitable model for the distribution of defective components in a batch. [1]
\end{enumerate}

Find the probability that a batch contains
\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{2}
\item no defective components, [2]
\item more than 6 defective components. [2]
\item Find the mean and the variance of the defective components in a batch. [2]
\end{enumerate}

A supplier buys 100 components. The supplier will receive a refund if there are more than 15 defective components.

\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{5}
\item Using a suitable approximation, find the probability that the supplier will receive a refund. [4]
\end{enumerate}

\hfill \mbox{\textit{Edexcel S2 2004 Q4 [13]}}