| Exam Board | Edexcel |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2013 |
| Session | June |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Normal Distribution |
| Type | Expected frequency with unknown parameter |
| Difficulty | Standard +0.3 This is a standard S1 normal distribution question requiring inverse normal calculations and working with percentages. Part (a) uses the inverse normal with a given percentage to find μ, part (b) is a straightforward probability calculation, and part (c) requires recognizing symmetry to find σ from a central probability. All techniques are routine for S1 with no novel problem-solving required, making it slightly easier than average. |
| Spec | 2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{200-\mu}{7.8} = -1.2816\) [calc gives \(1.28155156\ldots\)] | M1 B1 | For attempt to standardise with 200 and 7.8 set \(= \pm\) any \(z\) value (\( |
| \(\mu = 209.996\ldots\), awrt \(\mathbf{210}\) | A1 | The 210 must follow from correct working |
| Answer | Marks | Guidance |
|---|---|---|
| \(P(X > 225) = P\!\left(Z > \frac{225 - \text{"210''}}{7.8}\right)\) | M1 | For attempting to standardise with 225, their mean and 7.8; allow \(\pm\) |
| \(= P(Z > 1.92)\) or \(1 - P(Z < 1.92)\) (allow 1.93) | A1 | For \(Z >\) awrt 1.92/3; must have correct area indicated |
| \(= 1 - 0.9726 = 0.0274\) (or better) [calc gives \(0.0272037\ldots\)] | ||
| \(= \) awrt \(\mathbf{2.7\%}\), allow \(\mathbf{0.027}\) | A1 | For 2.7% or better; correct ans scores 3/3 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{210-205}{\sigma} = 2.3263\) or \(\frac{200-205}{\sigma} = -2.3263\) [calc gives \(2.3263478\ldots\)] | M1 B1 | For attempt to standardise with 200 or 210, 205 and \(\sigma\); for \(z = 2.3263\) or better and compatible signs |
| \(\sigma = \frac{5}{2.3263}\) | dM1 | Dependent on first M1; for correctly rearranging to make \(\sigma = \ldots\); must have \(\sigma > 0\) |
| \(\sigma = 2.15\) \((2.14933\ldots)\) | A1 | For awrt 2.15; must follow from correct working; range \(2.320 < z \leq 2.331\) will give awrt 2.15 |
# Question 6:
## Part (a)
| $\frac{200-\mu}{7.8} = -1.2816$ [calc gives $1.28155156\ldots$] | M1 B1 | For attempt to standardise with 200 and 7.8 set $= \pm$ any $z$ value ($|z|>1$); for $z = \pm1.2816$ or better |
| $\mu = 209.996\ldots$, awrt $\mathbf{210}$ | A1 | The 210 must follow from correct working |
## Part (b)
| $P(X > 225) = P\!\left(Z > \frac{225 - \text{"210''}}{7.8}\right)$ | M1 | For attempting to standardise with 225, their mean and 7.8; allow $\pm$ |
| $= P(Z > 1.92)$ or $1 - P(Z < 1.92)$ (allow 1.93) | A1 | For $Z >$ awrt 1.92/3; must have correct area indicated |
| $= 1 - 0.9726 = 0.0274$ (or better) [calc gives $0.0272037\ldots$] | | |
| $= $ awrt $\mathbf{2.7\%}$, allow $\mathbf{0.027}$ | A1 | For 2.7% or better; correct ans scores 3/3 |
## Part (c)
| $\frac{210-205}{\sigma} = 2.3263$ or $\frac{200-205}{\sigma} = -2.3263$ [calc gives $2.3263478\ldots$] | M1 B1 | For attempt to standardise with 200 or 210, 205 and $\sigma$; for $z = 2.3263$ or better and compatible signs |
| $\sigma = \frac{5}{2.3263}$ | dM1 | Dependent on first M1; for correctly rearranging to make $\sigma = \ldots$; must have $\sigma > 0$ |
| $\sigma = 2.15$ $(2.14933\ldots)$ | A1 | For awrt 2.15; must follow from correct working; range $2.320 < z \leq 2.331$ will give awrt 2.15 |
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\begin{enumerate}
\item The weight, in grams, of beans in a tin is normally distributed with mean $\mu$ and standard deviation 7.8
\end{enumerate}
Given that $10 \%$ of tins contain less than 200 g , find\\
(a) the value of $\mu$\\
(b) the percentage of tins that contain more than 225 g of beans.
The machine settings are adjusted so that the weight, in grams, of beans in a tin is normally distributed with mean 205 and standard deviation $\sigma$.\\
(c) Given that $98 \%$ of tins contain between 200 g and 210 g find the value of $\sigma$.
\hfill \mbox{\textit{Edexcel S1 2013 Q6 [10]}}