Edexcel S4 — Question 4 12 marks

Exam BoardEdexcel
ModuleS4 (Statistics 4)
Marks12
PaperDownload PDF ↗
TopicF-test and chi-squared for variance
TypeChi-squared test then t-test sequential
DifficultyStandard +0.3 This is a standard two-part hypothesis testing question requiring chi-squared test for variance and t-test for mean. While it involves S4 content (hypothesis testing with normal distributions), both parts follow routine procedures with clear hypotheses, standard test statistics, and straightforward conclusions. The calculations are mechanical with no conceptual challenges beyond applying learned formulas.
Spec5.05d Confidence intervals: using normal distribution

The length \(X\) mm of a spring made by a machine is normally distributed N(\(\mu, \sigma^2\)). A random sample of 20 springs is selected and their lengths measured in mm. Using this sample the unbiased estimates of \(\mu\) and \(\sigma^2\) are \(\bar{x} = 100.6\), \(s^2 = 1.5\). Stating your hypotheses clearly test, at the 10\% level of significance,
  1. whether or not the variance of the lengths of springs is different from 0.9, [6]
  2. whether or not the mean length of the springs is greater than 100 mm. [6]

The length $X$ mm of a spring made by a machine is normally distributed N($\mu, \sigma^2$). A random sample of 20 springs is selected and their lengths measured in mm. Using this sample the unbiased estimates of $\mu$ and $\sigma^2$ are

$\bar{x} = 100.6$,     $s^2 = 1.5$.

Stating your hypotheses clearly test, at the 10\% level of significance,

\begin{enumerate}[label=(\alph*)]
\item whether or not the variance of the lengths of springs is different from 0.9, [6]

\item whether or not the mean length of the springs is greater than 100 mm. [6]
\end{enumerate}

\hfill \mbox{\textit{Edexcel S4  Q4 [12]}}