Edexcel Paper 3 2018 June — Question 1 5 marks

Exam BoardEdexcel
ModulePaper 3 (Paper 3)
Year2018
SessionJune
Marks5
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Uniform Random Variables
TypeCompare uniform with other distributions
DifficultyModerate -0.8 This question requires only basic understanding of discrete uniform distributions (writing down probabilities, calculating P(X<50)), followed by straightforward comparison with data and a simple suggestion. No complex calculations, proofs, or novel insights are needed—it's primarily testing interpretation and model criticism at an elementary level.
Spec2.04a Discrete probability distributions

  1. Helen believes that the random variable \(C\), representing cloud cover from the large data set, can be modelled by a discrete uniform distribution.
    1. Write down the probability distribution for \(C\).
    2. Using this model, find the probability that cloud cover is less than 50\%
    Helen used all the data from the large data set for Hurn in 2015 and found that the proportion of days with cloud cover of less than \(50 \%\) was 0.315
  2. Comment on the suitability of Helen's model in the light of this information.
  3. Suggest an appropriate refinement to Helen's model.

Question 1:
Part (a)
AnswerMarks Guidance
AnswerMark Guidance
Correct set of values for \(c\): \(\{0, 1, 2, 3, 4, 5, 6, 7, 8\}\)B1 Allow \(\{\frac{1}{8}, \frac{2}{8}, \ldots, \frac{8}{8}\}\)
\(P(C = c) = \frac{1}{9}\) for each valueB1ft Correct probs consistent with discrete uniform distribution; allow as probability function with \(P(X=x) = \frac{1}{9}\) for \(0 \leq x \leq 8\) provided \(x = \{0,1,2,\ldots,8\}\) clearly defined
Part (b)
AnswerMarks Guidance
AnswerMark Guidance
\(P(C < 4) = \frac{4}{9}\) (accept 0.444 or better)B1 For using correct model to get \(\frac{4}{9}\) (o.e.)
SC: If sample space \(\{1,\ldots,8\}\) scored B0B1 in (a), allow \(P(C<4) = \frac{3}{8}\) to score B1
Part (c)
AnswerMarks Guidance
AnswerMark Guidance
Probability lower than expected suggests model is not goodB1ft Comment stating model is or is not good based on their part (a) and probability in (b); \(
Part (d)
AnswerMarks Guidance
AnswerMark Guidance
e.g. Cloud cover will vary from month to month and place to place, so use a non-uniform distributionB1 Sensible refinement considering variations in month or location; just saying "not uniform" is B0; Context & "non-uniform": allow mention of different locations, months and non-uniform, or use more locations to form new distribution with probabilities based on frequencies; Context & "binomial": allow mention of different locations, months and binomial; Just refined model: must be outlined and discrete and non-uniform (e.g. higher probabilities for more cloud cover or lower for less); Continuous model e.g. normal is B0
# Question 1:

## Part (a)

| Answer | Mark | Guidance |
|--------|------|----------|
| Correct set of values for $c$: $\{0, 1, 2, 3, 4, 5, 6, 7, 8\}$ | B1 | Allow $\{\frac{1}{8}, \frac{2}{8}, \ldots, \frac{8}{8}\}$ |
| $P(C = c) = \frac{1}{9}$ for each value | B1ft | Correct probs consistent with discrete uniform distribution; allow as probability function with $P(X=x) = \frac{1}{9}$ for $0 \leq x \leq 8$ provided $x = \{0,1,2,\ldots,8\}$ clearly defined |

## Part (b)

| Answer | Mark | Guidance |
|--------|------|----------|
| $P(C < 4) = \frac{4}{9}$ (accept 0.444 or better) | B1 | For using correct model to get $\frac{4}{9}$ (o.e.) |
| **SC:** If sample space $\{1,\ldots,8\}$ scored B0B1 in (a), allow $P(C<4) = \frac{3}{8}$ to score B1 | | |

## Part (c)

| Answer | Mark | Guidance |
|--------|------|----------|
| Probability lower than expected suggests model is **not** good | B1ft | Comment stating model is or is not good based on their part (a) and probability in (b); $|(b) - 0.315| > 0.05$: allow "not suitable", "not accurate" etc; $|(b) - 0.315| \leq 0.05$: allow comment suggesting it is suitable; **No prob in (b):** allow comparison mentioning 50% or 0.5 rejecting model; **No prob in (b) and no 50% or 0.5 or (b) $> 1$:** scores B0; ignore comments about location or weather patterns |

## Part (d)

| Answer | Mark | Guidance |
|--------|------|----------|
| e.g. Cloud cover will vary from month to month and place to place, so use a non-uniform distribution | B1 | Sensible refinement considering variations in month or location; just saying "not uniform" is B0; **Context & "non-uniform":** allow mention of different locations, months **and** non-uniform, or use more locations to form new distribution with probabilities based on frequencies; **Context & "binomial":** allow mention of different locations, months **and** binomial; **Just refined model:** must be outlined and discrete and non-uniform (e.g. higher probabilities for more cloud cover or lower for less); **Continuous model** e.g. normal is B0 |
\begin{enumerate}
  \item Helen believes that the random variable $C$, representing cloud cover from the large data set, can be modelled by a discrete uniform distribution.\\
(a) Write down the probability distribution for $C$.\\
(b) Using this model, find the probability that cloud cover is less than 50\%
\end{enumerate}

Helen used all the data from the large data set for Hurn in 2015 and found that the proportion of days with cloud cover of less than $50 \%$ was 0.315\\
(c) Comment on the suitability of Helen's model in the light of this information.\\
(d) Suggest an appropriate refinement to Helen's model.

\hfill \mbox{\textit{Edexcel Paper 3 2018 Q1 [5]}}