AQA Further Paper 3 Statistics 2020 June — Question 7 8 marks

Exam BoardAQA
ModuleFurther Paper 3 Statistics (Further Paper 3 Statistics)
Year2020
SessionJune
Marks8
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicT-tests (unknown variance)
TypeSingle sample t-test
DifficultyStandard +0.3 This is a straightforward one-sample t-test with standard bookwork parts: (a) requires routine application of the t-test procedure with given values, (b) asks for a standard definition of Type II error in context, and (c) involves basic interpretation of a histogram for normality. All parts are textbook exercises requiring recall and direct application rather than problem-solving or insight, making it slightly easier than average.
Spec5.05c Hypothesis test: normal distribution for population mean

7 The rainfall per day in February in a particular town has been recorded as having a mean of 1.8 inches. Sienna claims that rainfall in February has increased in the town. She records the rainfall in a random sample of 12 days. Her sample mean is 2 inches and her sample standard deviation is 0.4 inches.
It is assumed that rainfall per day has a normal distribution.
7
  1. Investigate Sienna's claim using the \(5 \%\) level of significance.
    7
  2. For the test carried out in part (a), state in context the meaning of a Type II error. 7
  3. The distribution of rainfall per day in February in the town over 10 years is shown in the histogram. \includegraphics[max width=\textwidth, alt={}, center]{443e7f17-a555-41ff-9d91-541cf45aae99-11_508_645_849_699} Explain whether or not the assumption that rainfall per day in February has a normal distribution is appropriate.

Question 7:
Part 7(a):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(H_0: \mu = 1.8\), \(H_1: \mu > 1.8\)B1 States both hypotheses using correct language
\(t = \frac{2 - 1.8}{\frac{0.4}{\sqrt{12}}}\)M1 Obtains \(t\) test statistic with 'their' sample mean and variance; condone \(z =\)
\(t = 1.73\); \(p = \) AWRT 0.0556A1 Obtains \(t\) statistic correctly; condone \(z =\)
\(t_{11}\) at \(95\% = 1.796\); \(1.73 < 1.796\); Accept \(H_0\)M1 Evaluates \(t\) model by comparing 'their' test statistic and correct critical value or by comparing \(p\)-value with 0.05
No significant evidence to suggest that the rainfall in February in the town has increasedE1F Infers \(H_0\) not rejected; FT 'their' comparison using \(t\) model
(Contextual conclusion, not definite)E1F Concludes in context; FT incorrect rejection of \(H_0\) or 'their' test statistic/p-value/'their' critical value if not
Part 7(b):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
To conclude that the rainfall per day in February has not increased when it hasE1 States accepting mean rainfall per day in February has not increased when it has
Part 7(c):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
The assumption of a normal distribution is not appropriate because the distribution is not symmetricalE1 Recognises assumption not appropriate because distribution is not symmetrical or is skewed
## Question 7:

### Part 7(a):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $H_0: \mu = 1.8$, $H_1: \mu > 1.8$ | B1 | States both hypotheses using correct language |
| $t = \frac{2 - 1.8}{\frac{0.4}{\sqrt{12}}}$ | M1 | Obtains $t$ test statistic with 'their' sample mean and variance; condone $z =$ |
| $t = 1.73$; $p = $ AWRT 0.0556 | A1 | Obtains $t$ statistic correctly; condone $z =$ |
| $t_{11}$ at $95\% = 1.796$; $1.73 < 1.796$; Accept $H_0$ | M1 | Evaluates $t$ model by comparing 'their' test statistic and correct critical value or by comparing $p$-value with 0.05 |
| No significant evidence to suggest that the rainfall in February in the town has increased | E1F | Infers $H_0$ not rejected; FT 'their' comparison using $t$ model |
| (Contextual conclusion, not definite) | E1F | Concludes in context; FT incorrect rejection of $H_0$ or 'their' test statistic/p-value/'their' critical value if not |

### Part 7(b):

| Answer/Working | Marks | Guidance |
|---|---|---|
| To conclude that the rainfall per day in February has not increased when it has | E1 | States accepting mean rainfall per day in February has not increased when it has |

### Part 7(c):

| Answer/Working | Marks | Guidance |
|---|---|---|
| The assumption of a normal distribution is not appropriate because the distribution is not symmetrical | E1 | Recognises assumption not appropriate because distribution is not symmetrical or is skewed |
7 The rainfall per day in February in a particular town has been recorded as having a mean of 1.8 inches.

Sienna claims that rainfall in February has increased in the town. She records the rainfall in a random sample of 12 days.

Her sample mean is 2 inches and her sample standard deviation is 0.4 inches.\\
It is assumed that rainfall per day has a normal distribution.\\
7
\begin{enumerate}[label=(\alph*)]
\item Investigate Sienna's claim using the $5 \%$ level of significance.\\

7
\item For the test carried out in part (a), state in context the meaning of a Type II error.

7
\item The distribution of rainfall per day in February in the town over 10 years is shown in the histogram.\\
\includegraphics[max width=\textwidth, alt={}, center]{443e7f17-a555-41ff-9d91-541cf45aae99-11_508_645_849_699}

Explain whether or not the assumption that rainfall per day in February has a normal distribution is appropriate.
\end{enumerate}

\hfill \mbox{\textit{AQA Further Paper 3 Statistics 2020 Q7 [8]}}