Edexcel S1 2010 January — Question 5 10 marks

Exam BoardEdexcel
ModuleS1 (Statistics 1)
Year2010
SessionJanuary
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicDiscrete Probability Distributions
TypeCalculate Var(X) from probability function
DifficultyModerate -0.8 This is a straightforward S1 probability distribution question requiring only standard formula application: summing probabilities to find k, calculating P(X≥2) by addition, computing E(X) and Var(X) using standard formulas, then applying the linear transformation property Var(a+bX)=b²Var(X). All steps are routine textbook exercises with no problem-solving or insight required, making it easier than average.
Spec5.02a Discrete probability distributions: general5.02b Expectation and variance: discrete random variables

The probability function of a discrete random variable \(X\) is given by $$p(x) = kx^2 \quad x = 1, 2, 3$$ where \(k\) is a positive constant.
  1. Show that \(k = \frac{1}{14}\) [2]
Find
  1. P\((X \geq 2)\) [2]
  2. E\((X)\) [2]
  3. Var\((1-X)\) [4]

Part (a)
Answer: \(k + 4k + 9k = 1\), \(14k = 1\), \(k = \frac{1}{14}\) given
AnswerMarks
Marks: M1 A1 cso(2)
Guidance:
- M1 for clear attempt to use \(\sum p(x) = 1\), full expression needed and the "1" must be clearly seen. This may be seen in a table
- A1cso for no incorrect working seen. The sum and "=" 1" must be explicitly seen somewhere
Part (b)
Answer: \(P(X \geq 2) = 1 - P(X = 1)\) or \(P(X = 2) + P(X = 3)\), \(= 1 - k = \frac{13}{14}\) or 0.92857...
AnswerMarks
Marks: M1 A1(2)
Guidance:
- M1 for 1- P(\(X \leq\) 1) or P(\(X = 2\)) + P(\(X = 3\))
- A1 for awrt 0.929. Answer only scores 2/2
Part (c)
Answer: \(E(X) = 1 \times k + 2 \times k \times 4 + 3 \times k \times 9\) or 36k, \(= \frac{36}{14} = \frac{18}{7}\) or \(2\frac{4}{7}\) (or exact equivalent)
AnswerMarks
Marks: M1 A1(2)
Guidance:
- M1 for a full expression for E(X) with at least two terms correct
- NB If there is evidence of division (usually by 3) then score M0
- A1 for any exact equivalent - answer only scores 2/2
Part (d)
Answer: \(\text{Var}(X) = 1 \times k + 4 \times k \times 4 + 9 \times k \times 9 - \left(\frac{18}{7}\right)^2\), \(\text{Var}(1 - X) = \text{Var}(X)\), \(= \frac{19}{49}\) or 0.387755...
AnswerMarks
Marks: M1 M1 M1 A1(4)
Guidance:
- 1st M1 for clear attempt at E(\(X^2\)), need at least 2 terms correct in \(1 \times k + 4 \times k \times 4 + 9 \times k \times 9\) or E(\(X^2\)) = 7
- 2nd M1 for their E(\(X^2\)) – (their \(\mu\))\(^2\)
- 3rd M1 for clearly stating that Var(1 – \(X\)) = Var(\(X\)), wherever seen
- A1 accept awrt 0.388. All 3 M marks are required. Allow 4/4 for correct answer only but must be for Var(1 – \(X\))
## Part (a)
**Answer:** $k + 4k + 9k = 1$, $14k = 1$, $k = \frac{1}{14}$ **given**

**Marks:** M1 A1 cso | (2)

**Guidance:**
- M1 for clear attempt to use $\sum p(x) = 1$, full expression needed and the "1" must be clearly seen. This may be seen in a table
- A1cso for no incorrect working seen. The sum and "=" 1" must be explicitly seen somewhere

## Part (b)
**Answer:** $P(X \geq 2) = 1 - P(X = 1)$ or $P(X = 2) + P(X = 3)$, $= 1 - k = \frac{13}{14}$ or 0.92857...

**Marks:** M1 A1 | (2)

**Guidance:**
- M1 for 1- P($X \leq$ 1) or P($X = 2$) + P($X = 3$)
- A1 for awrt 0.929. Answer only scores 2/2

## Part (c)
**Answer:** $E(X) = 1 \times k + 2 \times k \times 4 + 3 \times k \times 9$ or 36k, $= \frac{36}{14} = \frac{18}{7}$ or $2\frac{4}{7}$ (or exact equivalent)

**Marks:** M1 A1 | (2)

**Guidance:**
- M1 for a full expression for E(X) with at least two terms correct
- NB If there is evidence of division (usually by 3) then score M0
- A1 for any exact equivalent - answer only scores 2/2

## Part (d)
**Answer:** $\text{Var}(X) = 1 \times k + 4 \times k \times 4 + 9 \times k \times 9 - \left(\frac{18}{7}\right)^2$, $\text{Var}(1 - X) = \text{Var}(X)$, $= \frac{19}{49}$ or 0.387755...

**Marks:** M1 M1 M1 A1 | (4)

**Guidance:**
- 1st M1 for clear attempt at E($X^2$), need at least 2 terms correct in $1 \times k + 4 \times k \times 4 + 9 \times k \times 9$ or E($X^2$) = 7
- 2nd M1 for their E($X^2$) – (their $\mu$)$^2$
- 3rd M1 for clearly stating that Var(1 – $X$) = Var($X$), wherever seen
- A1 accept awrt 0.388. All 3 M marks are required. Allow 4/4 for correct answer only but must be for Var(1 – $X$)

---
The probability function of a discrete random variable $X$ is given by

$$p(x) = kx^2 \quad x = 1, 2, 3$$

where $k$ is a positive constant.

\begin{enumerate}[label=(\alph*)]
\item Show that $k = \frac{1}{14}$ [2]
\end{enumerate}

Find

\begin{enumerate}[label=(\alph*), start=2]
\item P$(X \geq 2)$ [2]

\item E$(X)$ [2]

\item Var$(1-X)$ [4]
\end{enumerate}

\hfill \mbox{\textit{Edexcel S1 2010 Q5 [10]}}