WJEC Unit 4 2019 June — Question 4 12 marks

Exam BoardWJEC
ModuleUnit 4 (Unit 4)
Year2019
SessionJune
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicZ-tests (known variance)
TypeTwo-tail z-test
DifficultyStandard +0.3 This is a straightforward applied normal distribution question covering standard A-level statistics content: z-score calculation, sampling distribution of the mean, and hypothesis testing. All parts follow routine procedures with no novel problem-solving required. Part (a) is basic standardization, part (b) applies the Central Limit Theorem in a standard way, and part (c) is a textbook two-tailed hypothesis test. The context is clear and the mathematical demands are typical for S1/S2 level work, making this slightly easier than average.
Spec2.04e Normal distribution: as model N(mu, sigma^2)2.04f Find normal probabilities: Z transformation5.05a Sample mean distribution: central limit theorem5.05c Hypothesis test: normal distribution for population mean

A company produces kettlebells whose weights are normally distributed with mean \(16\) kg and standard deviation \(0.08\) kg.
  1. Find the probability that the weight of a randomly selected kettlebell is greater than \(16.05\) kg. [2]
The company trials a new production method. It needs to check that the mean is still \(16\) kg. It assumes that the standard deviation is unchanged. The company takes a random sample of 25 kettlebells and it decides to reject the new production method if the sample mean does not round to \(16\) kg to the nearest \(100\) g.
  1. Find the probability that the new production method will be rejected if, in fact, the mean is still \(16\) kg. [4]
The company decides instead to use a 5\% significance test. A random sample of 25 kettlebells is selected and the mean is found to be \(16.02\) kg.
  1. Carry out the test to determine whether or not the new production method will be rejected. [6]

A company produces kettlebells whose weights are normally distributed with mean $16$ kg and standard deviation $0.08$ kg.

\begin{enumerate}[label=(\alph*)]
\item Find the probability that the weight of a randomly selected kettlebell is greater than $16.05$ kg. [2]
\end{enumerate}

The company trials a new production method. It needs to check that the mean is still $16$ kg. It assumes that the standard deviation is unchanged. The company takes a random sample of 25 kettlebells and it decides to reject the new production method if the sample mean does not round to $16$ kg to the nearest $100$ g.

\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{1}
\item Find the probability that the new production method will be rejected if, in fact, the mean is still $16$ kg. [4]
\end{enumerate}

The company decides instead to use a 5\% significance test. A random sample of 25 kettlebells is selected and the mean is found to be $16.02$ kg.

\begin{enumerate}[label=(\alph*)]
\setcounter{enumi}{2}
\item Carry out the test to determine whether or not the new production method will be rejected. [6]
\end{enumerate}

\hfill \mbox{\textit{WJEC Unit 4 2019 Q4 [12]}}