Edexcel FS1 2021 June — Question 5 18 marks

Exam BoardEdexcel
ModuleFS1 (Further Statistics 1)
Year2021
SessionJune
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicGeometric Distribution
TypeP(X > n) or P(X ≥ n)
DifficultyStandard +0.8 This is a comprehensive Further Statistics 1 question covering geometric and negative binomial distributions with hypothesis testing. While individual parts use standard formulas (geometric probabilities, negative binomial mean/variance), the multi-part structure, hypothesis testing setup with critical regions, and power calculation require sustained reasoning across multiple concepts. The negative binomial parameterization in part (c) and power calculation in part (f) elevate this above routine S1/S2 questions, making it moderately challenging for Further Maths students.
Spec5.02b Expectation and variance: discrete random variables5.02g Geometric probabilities: P(X=r) = p(1-p)^(r-1)5.02h Geometric: mean 1/p and variance (1-p)/p^25.05c Hypothesis test: normal distribution for population mean

  1. Asha, Davinda and Jerry each have a bag containing a large number of counters, some of which are white and the rest are red.
    Each person draws counters from their bag one at a time, notes the colour of the counter and returns it to their bag.
The probability of Asha getting a red counter on any one draw is 0.07
  1. Find the probability that Asha will draw at least 3 white counters before a red counter is drawn.
  2. Find the probability that Asha gets a red counter for the second time on her 9th draw. The probability of Davinda getting a red counter on any one draw is \(p\). Davinda draws counters until she gets \(n\) red counters. The random variable \(D\) is the number of counters Davinda draws. Given that the mean and the standard deviation of \(D\) are 4400 and 660 respectively,
  3. find the value of \(p\). Jerry believes that his bag contains a smaller proportion of red counters than Asha's bag. To test his belief, Jerry draws counters from his bag until he gets a red counter. Jerry defines the random variable \(J\) to be the number of counters drawn up to and including the first red counter.
  4. Stating your hypotheses clearly and using a \(10 \%\) level of significance, find the critical region for this test. Jerry gets a red counter for the first time on his 34th draw.
  5. Giving a reason for your answer, state whether or not there is evidence that Jerry's bag contains a smaller proportion of red counters than Asha's bag. Given that the probability of Jerry getting a red counter on any one draw is 0.011
  6. show that the power of the test is 0.702 to 3 significant figures.

Question 5:
Part (a):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(\text{at least 3 whites}) = (1-0.07)^3\) or \(1-0.07-0.93\times0.07-0.93^2\times0.07\)M1 1.1b - A correct method to find \(P(X \geq 3)\)
\(= 0.8043...\) awrt 0.804A1 1.1b
Part (b):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(P(\text{2nd red on 9th draw}) = \dbinom{8}{1}0.93^7\times0.07^2\)M1 3.3 - For selecting appropriate model: negative binomial or binomial with extra trial
\(= 0.02358...\) awrt 0.0236A1 1.1b
Part (c):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\dfrac{n}{p} = 4400\) and \(\dfrac{n(1-p)}{p^2} = 660^2\)M1, A1 3.1b, 1.1b - Forming equation for mean and variance. At least one correct. Both equations correct. Allow M1A1 if both equations correct with same number substituted for \(n\)
\(1-p = 99p\) oeM1 1.1b - Solving 2 equations leading to \(1-p=99p\). Allow \(p-p^2=99p^2\) ft their 4400 and 660. Allow \(1-p=0.15p\)
\(p = 0.01\)A1 1.1b
Part (d):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(H_0: p = 0.07\), \(H_1: p < 0.07\)B1 2.5 - Both hypotheses correct using correct notation, allow e.g. \(p > 0.93\)
\(J \sim \text{Geo}(0.07)\)M1 3.3 - Realising need to use \(\text{Geo}(0.07)\) ft their hypotheses
\(P(J \geq c) < 0.1 \Rightarrow (1-0.07)^{c-1} < 0.1\)M1 3.4 - Using model to find \(P(J \geq c)\). Condone \((1-0.07)^c < 0.1\) ft their \(0.07 \neq 0.93\). ALT \(P(J\geq32)=0.1[054...]\) or \(P(J\geq33)=0.09[8...]\) implied by correct CR
\(c - 1 > \dfrac{\log 0.1}{\log 0.93}\)M1 1.1b - Valid method to solve inequality or \(P(J\geq32)=0.1[054]\) and \(P(J\geq33)=0.09[81]\) implied by correct CR
\(c > 32.72...\) \(\therefore\) CR: \(J \geq 33\)A1 1.1b - Correct CR (any letter). A0 if given as probability statement. Must be integer
Part (e):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
34 is in the critical regionM1 1.1b - Comparing 34 with their CR e.g. \(34>33\), \(34\geq33\) or \(P(J\geq34)=0.09[12]\)
There is evidence to suggest that Jerry's bag contains a smaller proportion of red counters than Asha's bagA1 2.2b - Fully correct conclusion in context. Allow Jerry's belief is true. Allow probability for proportion
Part (f):
AnswerMarks Guidance
Answer/WorkingMarks Guidance
Power of test \(= P(J \geq 33 \mid p = 0.011)\)M1 2.1 - Realising need to find \(P\)(their CR in (d)). Allow \(1-P(J\leq32)\)
\(= (1-0.011)^{32}\) oeM1 1.1b - Correct method. Allow \(1-0.2981...\). May be implied by \(0.7019...\). If CR incorrect \((1-0.011)^{\text{"CR"}-1}\) or \(1-\{1-(1-0.011)^{\text{"CR"}-1}\}\) must be seen
\(= 0.7019...*\)A1* 1.1b - Only award if both method marks awarded
# Question 5:

## Part (a):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(\text{at least 3 whites}) = (1-0.07)^3$ or $1-0.07-0.93\times0.07-0.93^2\times0.07$ | M1 | 1.1b - A correct method to find $P(X \geq 3)$ |
| $= 0.8043...$ awrt 0.804 | A1 | 1.1b |

## Part (b):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $P(\text{2nd red on 9th draw}) = \dbinom{8}{1}0.93^7\times0.07^2$ | M1 | 3.3 - For selecting appropriate model: negative binomial or binomial with extra trial |
| $= 0.02358...$ awrt 0.0236 | A1 | 1.1b |

## Part (c):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\dfrac{n}{p} = 4400$ and $\dfrac{n(1-p)}{p^2} = 660^2$ | M1, A1 | 3.1b, 1.1b - Forming equation for mean and variance. At least one correct. Both equations correct. Allow M1A1 if both equations correct with same number substituted for $n$ |
| $1-p = 99p$ oe | M1 | 1.1b - Solving 2 equations leading to $1-p=99p$. Allow $p-p^2=99p^2$ ft their 4400 and 660. Allow $1-p=0.15p$ |
| $p = 0.01$ | A1 | 1.1b |

## Part (d):

| Answer/Working | Marks | Guidance |
|---|---|---|
| $H_0: p = 0.07$, $H_1: p < 0.07$ | B1 | 2.5 - Both hypotheses correct using correct notation, allow e.g. $p > 0.93$ |
| $J \sim \text{Geo}(0.07)$ | M1 | 3.3 - Realising need to use $\text{Geo}(0.07)$ ft their hypotheses |
| $P(J \geq c) < 0.1 \Rightarrow (1-0.07)^{c-1} < 0.1$ | M1 | 3.4 - Using model to find $P(J \geq c)$. Condone $(1-0.07)^c < 0.1$ ft their $0.07 \neq 0.93$. ALT $P(J\geq32)=0.1[054...]$ or $P(J\geq33)=0.09[8...]$ implied by correct CR |
| $c - 1 > \dfrac{\log 0.1}{\log 0.93}$ | M1 | 1.1b - Valid method to solve inequality or $P(J\geq32)=0.1[054]$ and $P(J\geq33)=0.09[81]$ implied by correct CR |
| $c > 32.72...$ $\therefore$ CR: $J \geq 33$ | A1 | 1.1b - Correct CR (any letter). A0 if given as probability statement. Must be integer |

## Part (e):

| Answer/Working | Marks | Guidance |
|---|---|---|
| 34 is in the critical region | M1 | 1.1b - Comparing 34 with their CR e.g. $34>33$, $34\geq33$ or $P(J\geq34)=0.09[12]$ |
| There is evidence to suggest that Jerry's bag contains a smaller proportion of red counters than Asha's bag | A1 | 2.2b - Fully correct conclusion in context. Allow Jerry's belief is true. Allow probability for proportion |

## Part (f):

| Answer/Working | Marks | Guidance |
|---|---|---|
| Power of test $= P(J \geq 33 \mid p = 0.011)$ | M1 | 2.1 - Realising need to find $P$(their CR in (d)). Allow $1-P(J\leq32)$ |
| $= (1-0.011)^{32}$ oe | M1 | 1.1b - Correct method. Allow $1-0.2981...$. May be implied by $0.7019...$. If CR incorrect $(1-0.011)^{\text{"CR"}-1}$ or $1-\{1-(1-0.011)^{\text{"CR"}-1}\}$ must be seen |
| $= 0.7019...*$ | A1* | 1.1b - Only award if both method marks awarded |

---
\begin{enumerate}
  \item Asha, Davinda and Jerry each have a bag containing a large number of counters, some of which are white and the rest are red.\\
Each person draws counters from their bag one at a time, notes the colour of the counter and returns it to their bag.
\end{enumerate}

The probability of Asha getting a red counter on any one draw is 0.07\\
(a) Find the probability that Asha will draw at least 3 white counters before a red counter is drawn.\\
(b) Find the probability that Asha gets a red counter for the second time on her 9th draw.

The probability of Davinda getting a red counter on any one draw is $p$. Davinda draws counters until she gets $n$ red counters. The random variable $D$ is the number of counters Davinda draws.

Given that the mean and the standard deviation of $D$ are 4400 and 660 respectively,\\
(c) find the value of $p$.

Jerry believes that his bag contains a smaller proportion of red counters than Asha's bag. To test his belief, Jerry draws counters from his bag until he gets a red counter. Jerry defines the random variable $J$ to be the number of counters drawn up to and including the first red counter.\\
(d) Stating your hypotheses clearly and using a $10 \%$ level of significance, find the critical region for this test.

Jerry gets a red counter for the first time on his 34th draw.\\
(e) Giving a reason for your answer, state whether or not there is evidence that Jerry's bag contains a smaller proportion of red counters than Asha's bag.

Given that the probability of Jerry getting a red counter on any one draw is 0.011\\
(f) show that the power of the test is 0.702 to 3 significant figures.

\hfill \mbox{\textit{Edexcel FS1 2021 Q5 [18]}}