| Exam Board | Edexcel |
|---|---|
| Module | Paper 3 (Paper 3) |
| Year | 2021 |
| Session | October |
| Marks | 11 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Normal Distribution |
| Type | Mixed calculations with boundaries |
| Difficulty | Standard +0.3 This is a standard A-level statistics question covering routine normal distribution calculations (inverse normal, probability between bounds, conditional probability) and a straightforward one-tailed hypothesis test. All parts use textbook methods 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 transformation2.05e Hypothesis test for normal mean: known variance |
| Answer | Marks | Guidance |
|---|---|---|
| Part | Answer/Working | Marks |
| (a) | \([\text{Let } F \sim N(166.5, 6.1^2)]\) \(P(F < k) = 0.01 \Rightarrow \frac{k - 166.5}{6.1} = -2.3263\) | M1 |
| \(k = 152.309...\) \(\mathbf{152}\) or awrt \(\mathbf{152.3}\) | A1 | A1 for 152 or awrt 152.3 Ans only 2/2 [Condone poor use of notation e.g. \(P(\frac{k-166.5}{6.1}) = -2.3263\)] Allow percentages instead of probabilities throughout. |
| (b) | \([P(150 < F < 175) =] 0.914840...\) | B1 |
| awrt \(\mathbf{0.915}\) | ||
| (c) | \(P(F > 160 \mid 150 < F < 175)\) | M1 |
| \(= \frac{P(160 < F < 175)}{P(150 < F < 175)}\) or \(\frac{P(160 < F < 175)}{"{b}"}\) | M1 | 2nd M1 for correct ratio of expressions (can ft their (b) on denominator) (\(\Rightarrow\) by 1st A1ft) |
| \(= \frac{0.7749487...}{"0.91484..."}\) | A1ft | 1st A1ft for a correct ratio of probs (can ft their "0.9148..." to 3sf from (b) if \(> 0.775\)) |
| \(= 0.84708...\) awrt \(\mathbf{0.847}\) | A1 | 2nd A1 for awrt 0.847 |
| (d) | \(H_0 : \mu = 166.5\) \(H_1 : \mu < 166.5\) | B1 |
| \([\text{Let } X = \text{height of female from 2nd country}] \bar{X} \sim N\left(166.5, \left(\frac{7.4}{\sqrt{50}}\right)^2\right)\) | M1 | 1st M1 for selecting the correct model (needn't use \(\bar{X}\) \(\Rightarrow\) by standardisation or 1st A1) |
| \(P(\bar{X} < 164.6) = 0.03472...\) | A1 | 1st A1 for correct use of the correct model i.e. awrt 0.035 (allow 0.04 if \(P("\bar{X}" < 164.6)\)seen). Condone \(P("\bar{X}" > 164.6) = 0.9652\) or awrt 0.97 only if comparison with 0.95 is made |
| \([0.0347... < 0.05\) so significant or reject \(H_0\)] | dA1 | dA1 (dep on M1A1 only) for a correct inference in context. Must mention Mia's belief or mean height of females/women. Do NOT award if contradictory statements about hypotheses made e.g. "not sig" |
| There is evidence to support Mia's belief | ||
| *Notes* | ||
| M0 for \(\bar{X} \sim N(164.6, \ldots)\) If they achieve \(p = \) awrt 0.035 (o.e. with z-value or CV of 166.3) and a correct conclusion in context is given score M0A0A1 [and SC for awrt 0.97 \(> 0.95\) case] | ||
| ALT: Use of \(z\) value: Need to see \(Z = -1.8(15\ldots)\) and cv of \(1.6449\) (allow 1.64 or better) for 1st A1. ALT: Use of CR or CV for \(\bar{X}\): Need to see "\(\bar{X}\)" \(< 164.7786\ldots\) or CV \(= \ldots\) (awrt 164.8) for 1st A1. Condone truncation i.e. 164.7 or better. 2nd dA1 (dep on M1A1 only) for a correct inference in context. Must mention Mia's belief or mean height of females/women. Do NOT award if contradictory statements about hypotheses made e.g. "not sig". SC: M0 for \(\bar{X} \sim N(164.6, \ldots)\) If they achieve \(p = \) awrt 0.035 (o.e. with z-value or CV of 166.3) and a correct conclusion in context is given score M0A0A1 [and SC for awrt 0.97 \(> 0.95\) case] |
| Part | Answer/Working | Marks | Guidance |
|------|---|---|---|
| (a) | $[\text{Let } F \sim N(166.5, 6.1^2)]$ $P(F < k) = 0.01 \Rightarrow \frac{k - 166.5}{6.1} = -2.3263$ | M1 | M1 for standardising (allow $\pm$) with $k, 166.5$ and $6.1$ and set equal to a $z$ value $2.3 < \|z\| < 2.4$ |
| | $k = 152.309...$ $\mathbf{152}$ or awrt $\mathbf{152.3}$ | A1 | A1 for 152 or awrt 152.3 **Ans only 2/2** [Condone poor use of notation e.g. $P(\frac{k-166.5}{6.1}) = -2.3263$] **Allow percentages instead of probabilities throughout.** |
| (b) | $[P(150 < F < 175) =] 0.914840...$ | B1 | B1 for awrt 0.915 |
| | awrt $\mathbf{0.915}$ | | |
| (c) | $P(F > 160 \mid 150 < F < 175)$ | M1 | 1st M1 for interpreting demand as an appropriate conditional probability ($\Rightarrow$ by 2nd M1) |
| | $= \frac{P(160 < F < 175)}{P(150 < F < 175)}$ or $\frac{P(160 < F < 175)}{"{b}"}$ | M1 | 2nd M1 for correct ratio of expressions (can ft their (b) on denominator) ($\Rightarrow$ by 1st A1ft) |
| | $= \frac{0.7749487...}{"0.91484..."}$ | A1ft | 1st A1ft for a correct ratio of probs (can ft their "0.9148..." to 3sf from (b) if $> 0.775$) |
| | $= 0.84708...$ awrt $\mathbf{0.847}$ | A1 | 2nd A1 for awrt 0.847 |
| (d) | $H_0 : \mu = 166.5$ $H_1 : \mu < 166.5$ | B1 | B1 for both correct hypotheses in terms of $\mu$ |
| | $[\text{Let } X = \text{height of female from 2nd country}] \bar{X} \sim N\left(166.5, \left(\frac{7.4}{\sqrt{50}}\right)^2\right)$ | M1 | 1st M1 for selecting the correct model (needn't use $\bar{X}$ $\Rightarrow$ by standardisation or 1st A1) |
| | $P(\bar{X} < 164.6) = 0.03472...$ | A1 | 1st A1 for correct use of the correct model i.e. awrt 0.035 (allow 0.04 if $P("\bar{X}" < 164.6)$seen). Condone $P("\bar{X}" > 164.6) = 0.9652$ or awrt 0.97 **only if comparison with 0.95 is made** |
| | $[0.0347... < 0.05$ so significant or reject $H_0$] | dA1 | dA1 (dep on M1A1 only) for a correct inference in context. **Must mention Mia's belief or mean height of females/women.** **Do NOT award if contradictory statements about hypotheses made** e.g. "not sig" |
| | There is evidence to support Mia's belief | | |
| | *Notes* | | |
| | M0 for $\bar{X} \sim N(164.6, \ldots)$ If they achieve $p = $ awrt 0.035 (o.e. with z-value or CV of 166.3) and a correct conclusion in context is given score **M0A0A1** [and SC for awrt 0.97 $> 0.95$ case] | | |
| | **ALT:** Use of $z$ value: Need to see $Z = -1.8(15\ldots)$ and cv of $1.6449$ (allow 1.64 or better) for 1st A1. **ALT:** Use of CR or CV for $\bar{X}$: Need to see "$\bar{X}$" $< 164.7786\ldots$ or CV $= \ldots$ (awrt 164.8) for 1st A1. Condone truncation i.e. 164.7 or better. 2nd dA1 (dep on M1A1 only) for a correct inference in context. Must mention Mia's belief or mean height of females/women. Do NOT award if contradictory statements about hypotheses made e.g. "not sig". SC: **M0 for $\bar{X} \sim N(164.6, \ldots)$** If they achieve $p = $ awrt 0.035 (o.e. with z-value or CV of 166.3) and a correct conclusion in context is given score **M0A0A1** [and SC for awrt 0.97 $> 0.95$ case] |
\begin{enumerate}
\item The heights of females from a country are normally distributed with
\end{enumerate}
\begin{itemize}
\item a mean of 166.5 cm
\item a standard deviation of 6.1 cm
\end{itemize}
Given that $1 \%$ of females from this country are shorter than $k \mathrm {~cm}$,\\
(a) find the value of $k$\\
(b) Find the proportion of females from this country with heights between 150 cm and 175 cm
A female, from this country, is chosen at random from those with heights between 150 cm and 175 cm\\
(c) Find the probability that her height is more than 160 cm
The heights of females from a different country are normally distributed with a standard deviation of 7.4 cm
Mia believes that the mean height of females from this country is less than 166.5 cm\\
Mia takes a random sample of 50 females from this country and finds the mean of her sample is 164.6 cm\\
(d) Carry out a suitable test to assess Mia's belief.
You should
\begin{itemize}
\item state your hypotheses clearly
\item use a $5 \%$ level of significance
\end{itemize}
\section*{Question 5 continued.}
\section*{Question 5 continued.}
\section*{Question 5 continued.}
\hfill \mbox{\textit{Edexcel Paper 3 2021 Q5 [11]}}