Edexcel S2 2023 October — Question 20

Exam BoardEdexcel
ModuleS2 (Statistics 2)
Year2023
SessionOctober
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicCumulative distribution functions
TypeExpectation from CDF/PDF
DifficultyModerate -0.3 This is a standard S2 question testing routine application of discrete probability distributions (finding mean from a probability distribution) and sampling distributions. Part (a) requires simple weighted average calculation, parts (b)-(c) involve listing outcomes and finding a sampling distribution which is methodical but not conceptually demanding. This is typical textbook material requiring recall and systematic application rather than problem-solving insight, making it slightly easier than average for A-level.
Spec2.05b Hypothesis test for binomial proportion2.05c Significance levels: one-tail and two-tail5.01a Permutations and combinations: evaluate probabilities5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities5.02l Poisson conditions: for modelling5.03c Calculate mean/variance: by integration

20\% of the t -shirts made by the manufacturer are small and sell for \(\pounds 10 30 \%\) of the t -shirts made by the manufacturer are medium and sell for \(\pounds 12\) The rest of the t -shirts made by the manufacturer are large and sell for \(\pounds 15\)
  1. Find the mean value of the t -shirts made by the manufacturer. A random sample of 3 t -shirts made by the manufacturer is taken.
  2. List all the possible combinations of the individual selling prices of these 3 t-shirts.
  3. Find the sampling distribution of the median selling price of these 3 t-shirts.
    1. A supermarket receives complaints at a mean rate of 6 per week.
    2. State one assumption necessary, in order for a Poisson distribution to be used to model the number of complaints received by the supermarket.
    3. Find the probability that, in a given week, there are
      1. fewer than 3 complaints received by the supermarket,
      2. at least 6 complaints received by the supermarket.
    In a randomly selected week, the supermarket received 12 complaints.
  4. Test, at the \(5 \%\) level of significance, whether or not there is evidence that the mean number of complaints is greater than 6 per week.
    State your hypotheses clearly. Following changes made by the supermarket, it received 26 complaints over a 6-week period.
  5. Use a suitable approximation to test whether or not there is evidence that, following the changes, the mean number of complaints received is less than 6 per week. You should state your hypotheses clearly and use a 5\% significance level.
    1. The continuous random variable \(Y\) has cumulative distribution function given by
    $$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 0 & y < 0 \\ \frac { 1 } { 21 } y ^ { 2 } & 0 \leqslant y \leqslant k \\ \frac { 2 } { 15 } \left( 6 y - \frac { y ^ { 2 } } { 2 } \right) - \frac { 7 } { 5 } & k < y \leqslant 6 \\ 1 & y > 6 \end{array} \right.$$
  6. Find \(\mathrm { P } \left( \left. Y < \frac { 1 } { 4 } k \right\rvert \, Y < k \right)\)
  7. Find the value of \(k\)
  8. Use algebraic calculus to find \(\mathrm { E } ( Y )\)
    1. The discrete random variable \(X\) is given by
    $$X \sim \mathrm {~B} ( n , p )$$ The value of \(n\) and the value of \(p\) are such that \(X\) can be approximated by a normal random variable \(Y\) where $$Y \sim \mathrm {~N} \left( \mu , \sigma ^ { 2 } \right)$$ Given that when using a normal approximation $$\mathrm { P } ( X < 86 ) = 0.2266 \text { and } \mathrm { P } ( X > 97 ) = 0.1056$$
  9. show that \(\sigma = 6\)
  10. Hence find the value of \(n\) and the value of \(p\)

20\% of the t -shirts made by the manufacturer are small and sell for $\pounds 10 30 \%$ of the t -shirts made by the manufacturer are medium and sell for $\pounds 12$

The rest of the t -shirts made by the manufacturer are large and sell for $\pounds 15$\\
(a) Find the mean value of the t -shirts made by the manufacturer.

A random sample of 3 t -shirts made by the manufacturer is taken.\\
(b) List all the possible combinations of the individual selling prices of these 3 t-shirts.\\
(c) Find the sampling distribution of the median selling price of these 3 t-shirts.

\begin{enumerate}
  \item A supermarket receives complaints at a mean rate of 6 per week.\\
(a) State one assumption necessary, in order for a Poisson distribution to be used to model the number of complaints received by the supermarket.\\
(b) Find the probability that, in a given week, there are\\
(i) fewer than 3 complaints received by the supermarket,\\
(ii) at least 6 complaints received by the supermarket.
\end{enumerate}

In a randomly selected week, the supermarket received 12 complaints.\\
(c) Test, at the $5 \%$ level of significance, whether or not there is evidence that the mean number of complaints is greater than 6 per week.\\
State your hypotheses clearly.

Following changes made by the supermarket, it received 26 complaints over a 6-week period.\\
(d) Use a suitable approximation to test whether or not there is evidence that, following the changes, the mean number of complaints received is less than 6 per week. You should state your hypotheses clearly and use a 5\% significance level.

\begin{enumerate}
  \item The continuous random variable $Y$ has cumulative distribution function given by
\end{enumerate}

$$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 
0 & y < 0 \\
\frac { 1 } { 21 } y ^ { 2 } & 0 \leqslant y \leqslant k \\
\frac { 2 } { 15 } \left( 6 y - \frac { y ^ { 2 } } { 2 } \right) - \frac { 7 } { 5 } & k < y \leqslant 6 \\
1 & y > 6
\end{array} \right.$$

(a) Find $\mathrm { P } \left( \left. Y < \frac { 1 } { 4 } k \right\rvert \, Y < k \right)$\\
(b) Find the value of $k$\\
(c) Use algebraic calculus to find $\mathrm { E } ( Y )$

\begin{enumerate}
  \item The discrete random variable $X$ is given by
\end{enumerate}

$$X \sim \mathrm {~B} ( n , p )$$

The value of $n$ and the value of $p$ are such that $X$ can be approximated by a normal random variable $Y$ where

$$Y \sim \mathrm {~N} \left( \mu , \sigma ^ { 2 } \right)$$

Given that when using a normal approximation

$$\mathrm { P } ( X < 86 ) = 0.2266 \text { and } \mathrm { P } ( X > 97 ) = 0.1056$$

(a) show that $\sigma = 6$\\
(b) Hence find the value of $n$ and the value of $p$

\hfill \mbox{\textit{Edexcel S2 2023 Q20}}