Pre-U Pre-U 9795/2 2017 June — Question 1 6 marks

Exam BoardPre-U
ModulePre-U 9795/2 (Pre-U Further Mathematics Paper 2)
Year2017
SessionJune
Marks6
TopicConfidence intervals
TypeCI from raw data list
DifficultyStandard +0.3 This is a straightforward confidence interval question requiring standard calculations from raw data (mean, standard deviation, t-distribution lookup) plus a definition. While it involves multiple steps, all are routine procedures covered in any statistics course with no conceptual challenges or novel problem-solving required. Slightly above average difficulty only due to the manual calculation burden and being Further Maths content.
Spec5.05d Confidence intervals: using normal distribution

1
  1. Explain the meaning of the term ' \(95 \%\) confidence interval'.
  2. The values of five independent observations of a normally distributed random variable are as follows. $$\begin{array} { l l l l l } 35.2 & 38.2 & 39.7 & 41.6 & 43.9 \end{array}$$ Obtain a 95\% confidence interval for the population mean.

Part (i):
On average 95% of all identically constructed confidence intervals contain the parameter. B1
Note: Use of "confident" without explanation: B0.
Part (ii):
\(\bar{x} = 39.72\) B1
\(s_{n-1} = 3.30711\) B1 (3.31 or 10.9)
\(39.72 \pm 2.776 \times \dfrac{3.30711}{\sqrt{5}}\) M1 (Needs \(\sqrt{5}\) but allow \(s_n\), \(z\), or FT errors)
All numbers correct (apart from \(s_{n-1}\)) soi A1
\(= \text{awrt } (35.6, 43.8)\) A1 Both correct to 3 SF. Condone wrong order.

Total: 7 marks

**Part (i):**
On average 95% of all identically constructed confidence intervals contain the parameter. **B1**
Note: Use of "confident" without explanation: B0.

**Part (ii):**
$\bar{x} = 39.72$ **B1**

$s_{n-1} = 3.30711$ **B1** (3.31 or 10.9)

$39.72 \pm 2.776 \times \dfrac{3.30711}{\sqrt{5}}$ **M1** (Needs $\sqrt{5}$ but allow $s_n$, $z$, or FT errors)

All numbers correct (apart from $s_{n-1}$) soi **A1**

$= \text{awrt } (35.6, 43.8)$ **A1** Both correct to 3 SF. Condone wrong order.

Total: **7 marks**
1 (i) Explain the meaning of the term ' $95 \%$ confidence interval'.\\
(ii) The values of five independent observations of a normally distributed random variable are as follows.

$$\begin{array} { l l l l l } 
35.2 & 38.2 & 39.7 & 41.6 & 43.9
\end{array}$$

Obtain a 95\% confidence interval for the population mean.

\hfill \mbox{\textit{Pre-U Pre-U 9795/2 2017 Q1 [6]}}