| Exam Board | AQA |
|---|---|
| Module | Paper 3 (Paper 3) |
| Year | 2019 |
| Session | June |
| Marks | 12 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Normal Distribution |
| Type | Find p then binomial probability |
| Difficulty | Standard +0.3 This is a standard normal distribution application question requiring inverse normal calculations to find parameters, then straightforward probability calculations and a binomial probability. The multi-step nature and 12 total marks suggest moderate length, but all techniques are routine A-level statistics procedures with no novel problem-solving required. |
| Spec | 2.04c Calculate binomial probabilities2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation |
| Answer | Marks |
|---|---|
| 17(a) | Obtains either z-value from inverse |
| Answer | Marks | Guidance |
|---|---|---|
| [β0.85, β0.84] | 3.1b | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| Must use 30 | 1.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| Must use 32.5 | 1.1a | M1 |
| Obtains boππthβ e3q2u.5ations correctly | 1.1b | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| equations in the form of ΞΌ and Ο | 1.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| ISW | 1.1b | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| ISW | 1.1b | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| (b)(i) | States correct probability | 1.2 |
| Answer | Marks |
|---|---|
| (b)(ii) | Uses their ΞΌ and their Ο to find |
| Answer | Marks | Guidance |
|---|---|---|
| their ΞΌ and their Ο | 1.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| used, answer will be (0.31, 0.37) | 1.1b | A1F |
| Answer | Marks |
|---|---|
| 17(c) | Identifies the Binomial distribution |
| Answer | Marks | Guidance |
|---|---|---|
| using their pππ = 13 = their 0.344 | 3.1b | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| [0.23, 0.39] | 1.1b | A1F |
| Total | 12 |
Question 17:
--- 17(a) ---
17(a) | Obtains either z-value from inverse
normal distribution
Condone sign error
AWFW [β1.29, β1.28] or
[β0.85, β0.84] | 3.1b | B1 | 30βππ
πποΏ½ππ < οΏ½ = 0.1
ππ
32.5βππ
πποΏ½ππ > οΏ½ =0.8
z= β1.2816ππ z = β0.8416
3 0βππ
= β1.2816
ππ
3 2.5βππ
= β0.8416
ππ
2.5 = 0.4 4ππ
ππ = 5.68
ππ = 37.3
Forms one equation with unknown
ΞΌ and Ο using standardised result
and z-value (for 0.1)
Accept z = (β4, 4) except Β±0.1,
Β±0.2, Β±0.8, Β±0.9
Condone
Must use 30 | 1.1a | M1
Forms nexππt βeq3u0ation with unknown
ΞΌ and Ο using standardised result
and z-value (for 0.8)
Accept z = (β4, 4) except Β±0.1,
Β±0.2, Β±0.8, Β±0.9
Condone
Must use 32.5 | 1.1a | M1
Obtains boππthβ e3q2u.5ations correctly | 1.1b | A1
Solves their two simultaneous
equations in the form of ΞΌ and Ο | 1.1a | M1
Obtains correct value of Ο
AWFW (5.2, 5.9)
ISW | 1.1b | A1
Obtains correct value of ΞΌ
AWFW (37.1, 37.5)
ISW | 1.1b | A1
--- 17
(b)(i) ---
17
(b)(i) | States correct probability | 1.2 | B1 | 1
--- 17
(b)(ii) ---
17
(b)(ii) | Uses their ΞΌ and their Ο to find
PI by correct value of probability
ππus(ππing< th3e5i)r ΞΌ and their Ο or
correctly calculated z-value using
their ΞΌ and their Ο | 1.1a | M1 | ππ(ππ < 35)= 0.344
Obtains correct probability to 2
decimal places or better
FT their ΞΌ and their Ο
If ΞΌ = (37.1, 37.5) and Ο = (5.2, 5.9)
used, answer will be (0.31, 0.37) | 1.1b | A1F
--- 17(c) ---
17(c) | Identifies the Binomial distribution
model with , p
PI by correct value of probability
using their pππ = 13 = their 0.344 | 3.1b | M1 | Y= no. of brownies less than
35g in a batch of 13
ππ βΌ π΅π΅(13,0.344)
ππ(Y β€ 3)= 0.294
Obtains correct probability to 2
decimal places or better
FT their p
If p = (0.31, 0.37) answer will be
[0.23, 0.39] | 1.1b | A1F
Total | 12
Elizabeth's Bakery makes brownies.
It is known that the mass, $X$ grams, of a brownie may be modelled by a normal distribution.
10\% of the brownies have a mass less than 30 grams.
80\% of the brownies have a mass greater than 32.5 grams.
\begin{enumerate}[label=(\alph*)]
\item Find the mean and standard deviation of $X$. [7 marks]
\item \begin{enumerate}[label=(\roman*)]
\item Find P$(X \neq 35)$ [1 mark]
\item Find P$(X < 35)$ [2 marks]
\end{enumerate}
\item Brownies are baked in batches of 13.
Calculate the probability that, in a batch of brownies, no more than 3 brownies are less than 35 grams.
You may assume that the masses of brownies are independent of each other.
[2 marks]
\end{enumerate}
\hfill \mbox{\textit{AQA Paper 3 2019 Q17 [12]}}