AQA Further AS Paper 2 Statistics 2024 June — Question 5 6 marks

Exam BoardAQA
ModuleFurther AS Paper 2 Statistics (Further AS Paper 2 Statistics)
Year2024
SessionJune
Marks6
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicUniform Distribution
TypeName the distribution
DifficultyEasy -1.8 This is a very straightforward question requiring only basic recognition that a discrete uniform distribution models equally likely outcomes, followed by a trivial probability calculation (3/8). Parts (b) involve simple observation that frequencies aren't equal and suggesting using empirical probabilities—no mathematical computation or statistical testing required.
Spec5.02e Discrete uniform distribution5.06c Fit other distributions: discrete and continuous

5 A spinner has 8 equal areas numbered 1 to 8, as shown in the diagram below. \includegraphics[max width=\textwidth, alt={}, center]{de9f0107-38de-4d0d-8391-4d29b98fa601-06_383_390_319_810} The spinner is spun and lands with one of its edges on the ground. 5
  1. Assume that the spinner lands on each number with equal probability. 5
    1. (i) State a distribution that could be used to model the number that the spinner lands on. 5
    2. (ii) Use your distribution from part 5
      1. to find the probability that the spinner lands on a number greater than 5
        [0pt] [1 mark] 5
    3. Clare spins the spinner 1000 times and records the results in the following table.
      Number
      landed on
      12345678
      Frequency376411216130815610953
      5
      1. Explain how the data shows that the model used in part (a) may not be valid.
        5
    4. (ii) Describe how Clare's results could be used to adjust the model.

Question 5(a)(i):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Discrete uniform distributionB1 Condone omission of 'discrete' and 'distribution'
Question 5(a)(ii):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\dfrac{3}{8}\)B1 oe
Question 5(b)(i):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Using the model, we would expect the frequencies to be close to each otherE1 Explains expected frequencies/relative frequencies close to each other or expected frequencies are 125 or expected relative frequencies are 0.125
However, the data shows a much higher frequency for landing on 5E1 Recognises observed frequencies/relative frequencies are not approximately equal; must relate to data. "Not the same" not accepted; bias alone insufficient
Question 5(b)(ii):
AnswerMarks Guidance
Answer/WorkingMark Guidance
Calculate the relative frequencies using Clare's resultsE1 Suggests calculating relative frequencies; condone calculating probabilities using Clare's results
Use the relative frequencies as probabilities for a discrete random variableE1 Suggests probabilities from discrete uniform distribution replaced with relative frequencies; comments such as "change the probabilities to relative frequencies" scores both marks
## Question 5(a)(i):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Discrete uniform distribution | B1 | Condone omission of 'discrete' and 'distribution' |

## Question 5(a)(ii):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $\dfrac{3}{8}$ | B1 | oe |

## Question 5(b)(i):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Using the model, we would expect the frequencies to be close to each other | E1 | Explains expected frequencies/relative frequencies close to each other or expected frequencies are 125 or expected relative frequencies are 0.125 |
| However, the data shows a much higher frequency for landing on 5 | E1 | Recognises observed frequencies/relative frequencies are not approximately equal; must relate to data. "Not the same" not accepted; bias alone insufficient |

## Question 5(b)(ii):

| Answer/Working | Mark | Guidance |
|---|---|---|
| Calculate the relative frequencies using Clare's results | E1 | Suggests calculating relative frequencies; condone calculating probabilities using Clare's results |
| Use the relative frequencies as probabilities for a discrete random variable | E1 | Suggests probabilities from discrete uniform distribution replaced with relative frequencies; comments such as "change the probabilities to relative frequencies" scores both marks |
5 A spinner has 8 equal areas numbered 1 to 8, as shown in the diagram below.\\
\includegraphics[max width=\textwidth, alt={}, center]{de9f0107-38de-4d0d-8391-4d29b98fa601-06_383_390_319_810}

The spinner is spun and lands with one of its edges on the ground.

5
\begin{enumerate}[label=(\alph*)]
\item Assume that the spinner lands on each number with equal probability.

5 (a) (i) State a distribution that could be used to model the number that the spinner lands on.

5 (a) (ii) Use your distribution from part 5 (a) (i) to find the probability that the spinner lands on a number greater than 5\\[0pt]
[1 mark]

5
\item Clare spins the spinner 1000 times and records the results in the following table.

\begin{center}
\begin{tabular}{ | l | c | c | c | c | c | c | c | c | }
\hline
\begin{tabular}{ l }
Number \\
landed on \\
\end{tabular} & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 \\
\hline
Frequency & 37 & 64 & 112 & 161 & 308 & 156 & 109 & 53 \\
\hline
\end{tabular}
\end{center}

5 (b) (i) Explain how the data shows that the model used in part (a) may not be valid.\\

5 (b) (ii) Describe how Clare's results could be used to adjust the model.
\end{enumerate}

\hfill \mbox{\textit{AQA Further AS Paper 2 Statistics 2024 Q5 [6]}}