| Exam Board | AQA |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2013 |
| Session | June |
| Marks | 13 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Normal Distribution |
| Type | Probability calculation plus find unknown boundary |
| Difficulty | Moderate -0.8 This is a straightforward S1 normal distribution question requiring standard z-score calculations and table lookups. Part (a)(i) tests understanding that P(X=k)=0 for continuous distributions, while other parts involve routine standardization and inverse normal calculations with no problem-solving insight needed—easier than average A-level. |
| Spec | 2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(P(X = 421) = 0\) | B1 | Since \(X\) is continuous |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(P(X < 425) = P\left(Z < \frac{425-421}{2.5}\right) = P(Z < 1.6)\) | M1 | Standardising correctly |
| \(= 0.9452\) | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(P(418 < X < 424) = P\left(\frac{418-421}{2.5} < Z < \frac{424-421}{2.5}\right)\) | M1 | Standardising both values |
| \(= P(-1.2 < Z < 1.2)\) | A1 | |
| \(= 2(0.8849) - 1 = 0.7698 \approx 0.770\) | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(P(X < x) = 0.98 \Rightarrow \frac{x - 421}{2.5} = 2.054\) | M1 | Using inverse normal, \(z = 2.054\) |
| A1 | Correct \(z\) value | |
| \(x = 421 + 2.5 \times 2.054 = 426.1\) | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Mark | Guidance |
| \(P(Y < 410) = 0.01 \Rightarrow \frac{410 - \mu}{3} = -2.3263\) | M1 | Setting up equation with correct \(z\) value |
| A1 | \(z = -2.3263\) (or \(\pm 2.326\)) | |
| \(\mu = 410 + 3 \times 2.3263 = 416.979 \approx 417.0\) | M1 | Correct equation for \(\mu\) |
| A1 |
# Question 2:
## Part (a)(i)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(X = 421) = 0$ | B1 | Since $X$ is continuous |
## Part (a)(ii)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(X < 425) = P\left(Z < \frac{425-421}{2.5}\right) = P(Z < 1.6)$ | M1 | Standardising correctly |
| $= 0.9452$ | A1 | |
## Part (a)(iii)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(418 < X < 424) = P\left(\frac{418-421}{2.5} < Z < \frac{424-421}{2.5}\right)$ | M1 | Standardising both values |
| $= P(-1.2 < Z < 1.2)$ | A1 | |
| $= 2(0.8849) - 1 = 0.7698 \approx 0.770$ | A1 | |
## Part (b)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(X < x) = 0.98 \Rightarrow \frac{x - 421}{2.5} = 2.054$ | M1 | Using inverse normal, $z = 2.054$ |
| A1 | Correct $z$ value |
| $x = 421 + 2.5 \times 2.054 = 426.1$ | A1 | |
## Part (c)
| Answer | Mark | Guidance |
|--------|------|----------|
| $P(Y < 410) = 0.01 \Rightarrow \frac{410 - \mu}{3} = -2.3263$ | M1 | Setting up equation with correct $z$ value |
| A1 | $z = -2.3263$ (or $\pm 2.326$) |
| $\mu = 410 + 3 \times 2.3263 = 416.979 \approx 417.0$ | M1 | Correct equation for $\mu$ |
| A1 | |
I can see these are answer space pages (blank lined pages for students to write their answers) for Questions 2 and 3 of what appears to be an AQA Statistics exam paper. These pages do not contain any mark scheme content - they are simply blank answer spaces.
The question content visible is for **Question 3**, which involves binomial distributions for an auction house scenario. However, no mark scheme is shown in these images.
To get the mark scheme content you're looking for, you would need to provide images of the **actual mark scheme document**, which is a separate publication from the question paper. The pages shown here are from the **question paper** (specifically the answer booklet pages), not the mark scheme.
If you can provide images of the mark scheme document, I would be happy to extract and format that content for you.
2 The weight, $X$ grams, of the contents of a tin of baked beans can be modelled by a normal random variable with a mean of 421 and a standard deviation of 2.5.
\begin{enumerate}[label=(\alph*)]
\item Find:
\begin{enumerate}[label=(\roman*)]
\item $\mathrm { P } ( X = 421 )$;
\item $\mathrm { P } ( X < 425 )$;
\item $\mathrm { P } ( 418 < X < 424 )$.
\end{enumerate}\item Determine the value of $x$ such that $\mathrm { P } ( X < x ) = 0.98$.
\item The weight, $Y$ grams, of the contents of a tin of ravioli can be modelled by a normal random variable with a mean of $\mu$ and a standard deviation of 3.0 .
Find the value of $\mu$ such that $\mathrm { P } ( Y < 410 ) = 0.01$.
\end{enumerate}
\hfill \mbox{\textit{AQA S1 2013 Q2 [13]}}