Edexcel S1 2011 January — Question 8 12 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2011
SessionJanuary
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicNormal Distribution
TypeDirect comparison of probabilities
DifficultyStandard +0.3 This is a standard S1 normal distribution question requiring routine z-score calculations and use of tables. Part (a) is straightforward standardization, part (b) is inverse normal (finding a value given probability), and part (c) requires solving simultaneous equations from two z-score relationships—all textbook techniques with no novel insight required. Slightly above average difficulty due to the algebraic manipulation in part (c), but still a typical exam question.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation

  1. The weight, \(X\) grams, of soup put in a tin by machine \(A\) is normally distributed with a mean of 160 g and a standard deviation of 5 g .
    A tin is selected at random.
    1. Find the probability that this tin contains more than 168 g .
    The weight stated on the tin is \(w\) grams.
  2. Find \(w\) such that \(\mathrm { P } ( X < w ) = 0.01\) The weight, \(Y\) grams, of soup put into a carton by machine \(B\) is normally distributed with mean \(\mu\) grams and standard deviation \(\sigma\) grams.
  3. Given that \(\mathrm { P } ( Y < 160 ) = 0.99\) and \(\mathrm { P } ( Y > 152 ) = 0.90\) find the value of \(\mu\) and the value of \(\sigma\).

Question 8:
Part (a):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(X>168) = P\!\left(Z > \frac{168-160}{5}\right)\)M1 For attempt to standardise 168 with 160 and 5, i.e. \(\pm\!\left(\frac{168-160}{5}\right)\) or implied by 1.6
\(= P(Z > 1.6)\)A1 For \(P(Z>1.6)\) or \(P(Z<-1.6)\), i.e. \(z=1.6\) and correct inequality or 1.6 on shaded diagram
\(= 0.0548\)A1 awrt 0.0548. Correct answer implies all 3 marks
(3)
Part (b):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(XM1 For attempting \(\pm\!\left(\frac{w-160}{5}\right)\) = recognisable \(z\) value \((
\(\frac{w-160}{5} = -2.3263\)B1 For \(z = \pm2.3263\) or better. Note: \(1-2.3263=\frac{w-160}{5}\) is M0B0
\(w = 148.37\)A1 awrt 148. For awrt 148 only with no working award M1B0A1
(3)
Part (c):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\frac{160-\mu}{\sigma} = 2.3263\)M1 For attempting to standardise 160 or 152 with \(\mu\) and \(\sigma\), allow \(\pm\), and equate to \(z\) value \((
\(\frac{152-\mu}{\sigma} = -1.2816\)B1 For awrt \(\pm2.33\) or \(\pm2.32\) seen
B1For awrt \(\pm1.28\) seen
\(160-\mu = 2.3263\sigma\)
\(152-\mu = -1.2816\sigma\)
\(8 = 3.6079\sigma\)M1 For attempt to solve two linear equations in \(\mu\) and \(\sigma\) leading to equation in just one variable
\(\sigma = 2.21\ldots\)A1 awrt 2.22. Award when first seen
\(\mu = 154.84\ldots\)A1 awrt 155. Correct answer only for part (c) scores all 6 marks
(6)NB \(\sigma=2.21\) commonly from \(z=2.34\), scores M1B0B1M1A0A1. Both M marks required for A marks
## Question 8:

### Part (a):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(X>168) = P\!\left(Z > \frac{168-160}{5}\right)$ | M1 | For attempt to standardise 168 with 160 and 5, i.e. $\pm\!\left(\frac{168-160}{5}\right)$ or implied by 1.6 |
| $= P(Z > 1.6)$ | A1 | For $P(Z>1.6)$ or $P(Z<-1.6)$, i.e. $z=1.6$ and correct inequality or 1.6 on shaded diagram |
| $= 0.0548$ | A1 | awrt 0.0548. Correct answer implies all 3 marks |
| | **(3)** | |

### Part (b):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(X<w) = P\!\left(Z < \frac{w-160}{5}\right)$ | M1 | For attempting $\pm\!\left(\frac{w-160}{5}\right)$ = recognisable $z$ value $(|z|>1)$ |
| $\frac{w-160}{5} = -2.3263$ | B1 | For $z = \pm2.3263$ or better. Note: $1-2.3263=\frac{w-160}{5}$ is M0B0 |
| $w = 148.37$ | A1 | awrt 148. For awrt 148 only with no working award M1B0A1 |
| | **(3)** | |

### Part (c):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\frac{160-\mu}{\sigma} = 2.3263$ | M1 | For attempting to standardise 160 or 152 with $\mu$ and $\sigma$, allow $\pm$, and equate to $z$ value $(|z|>1)$ |
| $\frac{152-\mu}{\sigma} = -1.2816$ | B1 | For awrt $\pm2.33$ or $\pm2.32$ seen |
| | B1 | For awrt $\pm1.28$ seen |
| $160-\mu = 2.3263\sigma$ | | |
| $152-\mu = -1.2816\sigma$ | | |
| $8 = 3.6079\sigma$ | M1 | For attempt to solve two linear equations in $\mu$ and $\sigma$ leading to equation in just one variable |
| $\sigma = 2.21\ldots$ | A1 | awrt 2.22. Award when first seen |
| $\mu = 154.84\ldots$ | A1 | awrt 155. Correct answer only for part (c) scores all 6 marks |
| | **(6)** | NB $\sigma=2.21$ commonly from $z=2.34$, scores M1B0B1M1A0A1. **Both M marks required for A marks** |
\begin{enumerate}
  \item The weight, $X$ grams, of soup put in a tin by machine $A$ is normally distributed with a mean of 160 g and a standard deviation of 5 g .\\
A tin is selected at random.\\
(a) Find the probability that this tin contains more than 168 g .
\end{enumerate}

The weight stated on the tin is $w$ grams.\\
(b) Find $w$ such that $\mathrm { P } ( X < w ) = 0.01$

The weight, $Y$ grams, of soup put into a carton by machine $B$ is normally distributed with mean $\mu$ grams and standard deviation $\sigma$ grams.\\
(c) Given that $\mathrm { P } ( Y < 160 ) = 0.99$ and $\mathrm { P } ( Y > 152 ) = 0.90$ find the value of $\mu$ and the value of $\sigma$.\\

\hfill \mbox{\textit{Edexcel S1 2011 Q8 [12]}}