AQA Further Paper 3 Statistics 2024 June — Question 16

Exam BoardAQA
ModuleFurther Paper 3 Statistics (Further Paper 3 Statistics)
Year2024
SessionJune
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicChi-squared goodness of fit
TypeChi-squared goodness of fit: Poisson
DifficultyModerate -0.8 This page contains multiple routine questions requiring standard recall and application of formulas: exponential distribution probability (direct formula), finding median from CDF (solve equation), Poisson hypothesis test (standard procedure), showing a given mean (integration by parts), and t-test (standard procedure). All are textbook-style exercises with no novel insight required, though the variety of topics and multi-step nature prevents this from being trivial.
Spec5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities5.02l Poisson conditions: for modelling5.03a Continuous random variables: pdf and cdf5.03c Calculate mean/variance: by integration5.03f Relate pdf-cdf: medians and percentiles5.05c Hypothesis test: normal distribution for population mean

16
256 2 The random variable \(T\) has an exponential distribution with mean 2 Find \(\mathrm { P } ( T \leq 1.4 )\) Circle your answer. \(\mathrm { e } ^ { - 2.8 }\) \(\mathrm { e } ^ { - 0.7 }\) \(1 - e ^ { - 0.7 }\) \(1 - \mathrm { e } ^ { - 2.8 }\) The continuous random variable \(Y\) has cumulative distribution function $$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 0 & y < 2 \\ - \frac { 1 } { 9 } y ^ { 2 } + \frac { 10 } { 9 } y - \frac { 16 } { 9 } & 2 \leq y < 5 \\ 1 & y \geq 5 \end{array} \right.$$ Find the median of \(Y\) Circle your answer. 2 \(\frac { 10 - 3 \sqrt { 2 } } { 2 }\) \(\frac { 7 } { 2 }\) \(\frac { 10 + 3 \sqrt { 2 } } { 2 }\) Turn over for the next question 4 Research has shown that the mean number of volcanic eruptions on Earth each day is 20 Sandra records 162 volcanic eruptions during a period of one week. Sandra claims that there has been an increase in the mean number of volcanic eruptions per week. Test Sandra's claim at the \(5 \%\) level of significance.
5 The continuous random variable \(X\) has probability density function $$f ( x ) = \begin{cases} \frac { 1 } { 6 } e ^ { \frac { x } { 3 } } & 0 \leq x \leq \ln 27 \\ 0 & \text { otherwise } \end{cases}$$ Show that the mean of \(X\) is \(\frac { 3 } { 2 } ( \ln 27 - 2 )\) 6 Over time it has been accepted that the mean retirement age for professional baseball players is 29.5 years old. Imran claims that the mean retirement age is no longer 29.5 years old.
He takes a random sample of 5 recently retired professional baseball players and records their retirement ages, \(x\). The results are $$\sum x = 152.1 \quad \text { and } \quad \sum ( x - \bar { x } ) ^ { 2 } = 7.81$$ 6
  1. State an assumption that you should make about the distribution of the retirement ages to investigate Imran's claim. 6
  2. Investigate Imran's claim, using the 10\% level of significance.

16\\
256

2 The random variable $T$ has an exponential distribution with mean 2

Find $\mathrm { P } ( T \leq 1.4 )$\\
Circle your answer.\\
$\mathrm { e } ^ { - 2.8 }$\\
$\mathrm { e } ^ { - 0.7 }$\\
$1 - e ^ { - 0.7 }$\\
$1 - \mathrm { e } ^ { - 2.8 }$ The continuous random variable $Y$ has cumulative distribution function

$$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 
0 & y < 2 \\
- \frac { 1 } { 9 } y ^ { 2 } + \frac { 10 } { 9 } y - \frac { 16 } { 9 } & 2 \leq y < 5 \\
1 & y \geq 5
\end{array} \right.$$

Find the median of $Y$

Circle your answer.

2\\
$\frac { 10 - 3 \sqrt { 2 } } { 2 }$\\
$\frac { 7 } { 2 }$\\
$\frac { 10 + 3 \sqrt { 2 } } { 2 }$

Turn over for the next question

4 Research has shown that the mean number of volcanic eruptions on Earth each day is 20

Sandra records 162 volcanic eruptions during a period of one week.

Sandra claims that there has been an increase in the mean number of volcanic eruptions per week.

Test Sandra's claim at the $5 \%$ level of significance.\\

5 The continuous random variable $X$ has probability density function

$$f ( x ) = \begin{cases} \frac { 1 } { 6 } e ^ { \frac { x } { 3 } } & 0 \leq x \leq \ln 27 \\ 0 & \text { otherwise } \end{cases}$$

Show that the mean of $X$ is $\frac { 3 } { 2 } ( \ln 27 - 2 )$\\

6 Over time it has been accepted that the mean retirement age for professional baseball players is 29.5 years old.

Imran claims that the mean retirement age is no longer 29.5 years old.\\
He takes a random sample of 5 recently retired professional baseball players and records their retirement ages, $x$. The results are

$$\sum x = 152.1 \quad \text { and } \quad \sum ( x - \bar { x } ) ^ { 2 } = 7.81$$

6
\begin{enumerate}[label=(\alph*)]
\item State an assumption that you should make about the distribution of the retirement ages to investigate Imran's claim.

6
\item Investigate Imran's claim, using the 10\% level of significance.
\end{enumerate}

\hfill \mbox{\textit{AQA Further Paper 3 Statistics 2024 Q16}}