Questions — Edexcel S2 (494 questions)

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Edexcel S2 2020 October Q3
3. A manufacturer produces plates. The proportion of plates that are flawed is \(45 \%\), with flawed plates occurring independently. A random sample of 10 of these plates is selected.
  1. Find the probability that the sample contains
    1. fewer than 2 flawed plates,
    2. at least 6 flawed plates.
      (4) George believes that the proportion of flawed plates is not \(45 \%\). To assess his belief George takes a random sample of 120 plates. The random variable \(F\) represents the number of flawed plates found in the sample.
  2. Using a normal approximation, find the maximum number of plates, \(c\), and the minimum number of plates, \(d\), such that $$\mathrm { P } ( F \leqslant c ) \leqslant 0.05 \text { and } \mathrm { P } ( F \geqslant d ) \leqslant 0.05$$ where \(F \sim \mathrm {~B} ( 120,0.45 )\) The manufacturer claims that, after a change to the production process, the proportion of flawed plates has decreased. A random sample of 30 plates, taken after the change to the production process, contains 8 flawed plates.
  3. Use a suitable hypothesis test, at the \(5 \%\) level of significance, to assess the manufacturer's claim. State your hypotheses clearly. \includegraphics[max width=\textwidth, alt={}, center]{3a781851-e2cc-4379-8b8c-abb3060a6019-11_2255_50_314_34}
Edexcel S2 2020 October Q4
4. In a peat bog, Common Spotted-orchids occur at a mean rate of 4.5 per \(\mathrm { m } ^ { 2 }\)
  1. Give an assumption, not already stated, that is required for the number of Common Spotted-orchids per \(\mathrm { m } ^ { 2 }\) of the peat bog to follow a Poisson distribution.
    (1) Given that the number of Common Spotted-orchids in \(1 \mathrm {~m} ^ { 2 }\) of the peat bog can be modelled by a Poisson distribution,
  2. find the probability that in a randomly selected \(1 \mathrm {~m} ^ { 2 }\) of the peat bog
    1. there are exactly 6 Common Spotted-orchids,
    2. there are fewer than 10 but more than 4 Common Spotted-orchids.
      (4) Juan believes that by introducing a new management scheme the number of Common Spotted-orchids in the peat bog will increase. After three years under the new management scheme, a randomly selected \(2 \mathrm {~m} ^ { 2 }\) of the peat bog contains 11 Common Spotted-orchids.
  3. Using a \(5 \%\) significance level assess Juan’s belief. State your hypotheses clearly. Assuming that in the peat bog, Common Spotted-orchids still occur at a mean rate of 4.5 per \(\mathrm { m } ^ { 2 }\)
  4. use a normal approximation to find the probability that in a randomly selected \(20 \mathrm {~m} ^ { 2 }\) of the peat bog there are fewer than 70 Common Spotted-orchids. Following a period of dry weather, the probability that there are fewer than 70 Common Spotted-orchids in a randomly selected \(20 \mathrm {~m} ^ { 2 }\) of the peat bog is 0.012 A random sample of 200 non-overlapping \(20 \mathrm {~m} ^ { 2 }\) areas of the peat bog is taken.
  5. Using a suitable approximation, calculate the probability that at most 1 of these areas contains fewer than 70 Common Spotted-orchids. \includegraphics[max width=\textwidth, alt={}, center]{3a781851-e2cc-4379-8b8c-abb3060a6019-15_2255_50_314_34}
Edexcel S2 2020 October Q5
5. The waiting time, \(T\) minutes, of a customer to be served in a local post office has probability density function $$\mathrm { f } ( t ) = \begin{cases} \frac { 1 } { 50 } ( 18 - 2 t ) & 0 \leqslant t \leqslant 3
\frac { 1 } { 20 } & 3 < t \leqslant 5
0 & \text { otherwise } \end{cases}$$ Given that the mean number of minutes a customer waits to be served is 1.66
  1. use algebraic integration to find \(\operatorname { Var } ( T )\), giving your answer to 3 significant figures.
  2. Find the cumulative distribution function \(\mathrm { F } ( t )\) for all values of \(t\).
  3. Calculate the probability that a randomly chosen customer's waiting time will be more than 2 minutes.
  4. Calculate \(\mathrm { P } ( [ \mathrm { E } ( T ) - 2 ] < T < [ \mathrm { E } ( T ) + 2 ] )\)
    VIXV SIHIANI III IM IONOOVIAV SIHI NI JYHAM ION OOVI4V SIHI NI JLIYM ION OO
Edexcel S2 2020 October Q6
6. (a) Explain what you understand by the sampling distribution of a statistic. A factory produces beads in bags for craft shops. A small bag contains 40 beads, a medium bag contains 80 beads and a large bag contains 150 beads. The factory produces small, medium and large bags in the ratio 5:3:2 respectively. A random sample of 3 bags is taken from the factory.
(b) Find the sampling distribution for the range of the number of beads in the 3 bags in the sample. A random sample of \(n\) sets of 3 bags is taken. The random variable \(Y\) represents the number of these \(n\) sets of 3 bags that have a range of 70
(c) Calculate the minimum value of \(n\) such that \(\mathrm { P } ( Y = 0 ) < 0.2\)
Edexcel S2 2021 October Q1
  1. A research project into food purchases found that \(35 \%\) of people who buy eggs do not buy free range eggs.
A random sample of 30 people who bought eggs is taken. The random variable \(F\) denotes the number of people who do not buy free range eggs.
  1. Find \(\mathrm { P } ( F \geqslant 12 )\)
  2. Find \(\mathrm { P } ( 8 \leqslant F < 15 )\) A farm shop gives 3 loyalty points with every purchase of free range eggs. With every purchase of eggs that are not free range the farm shop gives 1 loyalty point. A random sample of 30 customers who buy eggs from the farm shop is taken.
  3. Find the probability that the total number of points given to these customers is less than 70 The manager of the farm shop believes that the proportion of customers who buy eggs but do not buy free range eggs is more than \(35 \%\) In a survey of 200 customers who buy eggs, 86 do not buy free range eggs. Using a suitable test and a normal approximation,
  4. determine, at the \(5 \%\) level of significance, whether there is evidence to support the manager's belief. State your hypotheses clearly.
Edexcel S2 2021 October Q2
2. (i) The continuous random variable \(X\) is uniformly distributed over the interval \([ a , b ]\) Given that \(\mathrm { P } ( 8 < X < 14 ) = \frac { 1 } { 5 }\) and \(\mathrm { E } ( X ) = 11\)
  1. write down \(\mathrm { P } ( X > 14 )\)
  2. find \(\mathrm { P } ( 6 X > a + b )\)
    (ii) Susie makes a strip of pasta 45 cm long. She then cuts the strip of pasta, at a randomly chosen point, into two pieces. The random variable \(S\) is the length of the shortest piece of pasta.
  3. Write down the distribution of \(S\)
  4. Calculate the probability that the shortest piece of pasta is less than 12 cm long. Susie makes 20 strips of pasta, all 45 cm long, and separately cuts each strip of pasta, at a randomly chosen point, into two pieces.
  5. Calculate the probability that exactly 6 of the pieces of pasta are less than 12 cm long.
Edexcel S2 2021 October Q3
3. A continuous random variable \(X\) has cumulative distribution function $$\mathrm { F } ( x ) = \left\{ \begin{array} { l r } 0 & x < 0
4 a x ^ { 2 } & 0 \leqslant x \leqslant 1
a \left( b x ^ { 3 } - x ^ { 4 } + 1 \right) & 1 < x \leqslant 3
1 & x > 3 \end{array} \right.$$ where \(a\) and \(b\) are positive constants.
  1. Show that \(b = 4\)
  2. Find the exact value of \(a\)
  3. Find \(\mathrm { P } ( X > 2.25 )\)
  4. Showing your working clearly,
    1. sketch the probability density function of \(X\)
    2. calculate the mode of \(X\)
Edexcel S2 2021 October Q4
  1. The number of cars entering a safari park per 10 -minute period can be modelled by a Poisson distribution with mean 6
    1. Find the probability that in a given 10 -minute period exactly 8 cars will enter the safari park.
    2. Find the smallest value of \(n\) such that the probability that at least \(n\) cars enter the safari park in 10 minutes is less than 0.05
    The probability that no cars enter the safari park in \(m\) minutes, where \(m\) is an integer, is less than 0.05
  2. Find the smallest value of \(m\) A car enters the safari park.
  3. Find the probability that there is less than 5 minutes before the next car enters the safari park. Given that exactly 15 cars entered the safari park in a 30-minute period,
  4. find the probability that exactly 1 car entered the safari park in the first 5 minutes of the 30-minute period. Aston claims that the mean number of cars entering the safari park per 10-minute period is more than 6 He selects a 15-minute period at random in order to test whether there is evidence to support his claim.
  5. Determine the critical region for the test at the \(5 \%\) level of significance.
Edexcel S2 2021 October Q5
  1. A bag contains a large number of counters.
40\% of the counters are numbered 1
\(35 \%\) of the counters are numbered 2
\(25 \%\) of the counters are numbered 3 In a game Alif draws two counters at random from the bag. His score is 4 times the number on the first counter minus 2 times the number on the second counter.
  1. Show that Alif gets a score of 8 with probability 0.0875
  2. Find the sampling distribution of Alif's score.
  3. Calculate Alif's expected score.
Edexcel S2 2021 October Q6
6. The continuous random variable \(Y\) has probability density function \(\mathrm { f } ( y )\) given by $$f ( y ) = \begin{cases} \frac { 1 } { 14 } ( y + 2 ) & - 1 < y \leqslant 1
\frac { 3 } { 14 } & 1 < y \leqslant 3
\frac { 1 } { 14 } ( 6 - y ) & 3 < y \leqslant 5
0 & \text { otherwise } \end{cases}$$
  1. Sketch the probability density function \(\mathrm { f } ( \mathrm { y } )\) Given that \(\mathrm { E } \left( Y ^ { 2 } \right) = \frac { 131 } { 21 }\)
  2. find \(\operatorname { Var } ( 2 Y - 3 )\) The cumulative distribution function of \(Y\) is \(\mathrm { F } ( y )\)
  3. Show that \(\mathrm { F } ( y ) = \frac { 1 } { 14 } \left( \frac { y ^ { 2 } } { 2 } + 2 y + \frac { 3 } { 2 } \right)\) for \(- 1 < y \leqslant 1\)
  4. Find \(\mathrm { F } ( y )\) for all values of \(y\)
  5. Find the exact value of the 30th percentile of \(Y\)
  6. Find \(\mathrm { P } ( 4 Y \leqslant 5 \mid Y \leqslant 3 )\)
Edexcel S2 2022 October Q1
  1. Bhavna produces rolls of cloth. She knows that faults occur randomly in her cloth at a mean rate of 1.5 every 15 metres.
    1. Find the probability that in 15 metres of her cloth there are
      1. less than 3 faults,
      2. at least 6 faults.
    Each roll contains 100 metres of Bhavna's cloth.
    She selects 15 rolls at random.
  2. Find the probability that exactly 10 of these rolls each have fewer than 13 faults. Bhavna decides to sell her cloth in pieces.
    Each piece of her cloth is 4 metres long.
    The cost to make each piece is \(\pounds 5.00\)
    She sells each piece of her cloth that contains no faults for \(\pounds 7.40\)
    She sells each piece of her cloth that contains faults for \(\pounds 2.00\)
  3. Find the expected profit that Bhavna will make on each piece of her cloth that she sells.
Edexcel S2 2022 October Q2
  1. A random variable \(X\) has probability density function given by
$$f ( x ) = \left\{ \begin{array} { c c } \frac { 1 } { 4 } & - \frac { 1 } { 2 } \leqslant x < \frac { 1 } { 2 }
2 x - \frac { 3 } { 4 } & \frac { 1 } { 2 } \leqslant x \leqslant k
0 & \text { otherwise } \end{array} \right.$$ where \(k\) is a positive constant.
  1. Sketch the graph of \(\mathrm { f } ( x )\)
  2. By forming and solving an equation in \(k\), show that \(k = 1.25\)
  3. Use calculus to find \(\mathrm { E } ( X )\)
  4. Calculate the interquartile range of \(X\)
Edexcel S2 2022 October Q3
  1. A company produces packets of sunflower seeds. Each packet contains 40 seeds. The company claims that, on average, only 35\% of its sunflower seeds do not germinate.
A packet is selected at random.
  1. Using a \(5 \%\) level of significance, find an appropriate critical region for a two-tailed test that the proportion of sunflower seeds that do not germinate is 0.35 You should state your hypotheses clearly and state the probability, which should be as close as possible to \(2.5 \%\), for each tail of your critical region.
  2. Write down the actual significance level of this test. Past records suggest that \(2.8 \%\) of the company's sunflower seeds grow to a height of more than 3 metres.
    A random sample of 250 of the company's sunflower seeds is taken and 11 of them grow to a height of more than 3 metres.
  3. Using a suitable approximation test, at the \(5 \%\) level of significance, whether or not there is evidence that the proportion of sunflower seeds that grow to a height of more than 3 metres is now greater than \(2.8 \%\)
    State your hypotheses clearly.
Edexcel S2 2022 October Q4
  1. The probability that a person completes a particular task in less than 15 minutes is 0.4 Jeffrey selects 20 people at random and asks them to complete the task. The random variable, \(X\), represents the number of people who complete the task in less than 15 minutes.
    1. Find \(\mathrm { P } ( 5 \leqslant X < 8 )\)
    Mia takes a random sample of 140 people.
    Using a normal approximation, the probability that fewer than \(n\) of these 140 people complete the task in less than 15 minutes is 0.0239 to 4 decimal places.
  2. Find the value of \(n\) Show your working clearly.
Edexcel S2 2022 October Q5
  1. The continuous random variable \(X\) has cumulative distribution function given by
$$\mathrm { F } ( x ) = \left\{ \begin{array} { c r } 0 & x < 3
\frac { 1 } { 6 } ( x - 3 ) ^ { 2 } & 3 \leqslant x < 4
\frac { x } { 3 } - \frac { 7 } { 6 } & 4 \leqslant x < c
1 - \frac { 1 } { 6 } ( d - x ) ^ { 2 } & c \leqslant x < 7
1 & x \geqslant 7 \end{array} \right.$$ where \(c\) and \(d\) are constants.
  1. Show that \(c = 6\)
  2. Find \(\mathrm { P } ( X > 3.5 )\)
  3. Find \(\mathrm { P } ( X > 4.5 \mid 3.5 < X < 5.5 )\)
Edexcel S2 2022 October Q6
  1. A bag contains a large number of counters with one of the numbers 5 , 10 or 20 written on each of them in the ratio \(5 : 2 : a\)
A jar contains a large number of counters with one of the numbers 5 or 10 written on each of them in the ratio \(1 : 3\) One counter is selected at random from the bag and then two counters are selected at random from the jar.
The random variable \(R\) represents the range of the numbers on the 3 counters.
Given that \(\mathrm { P } ( R = 15 ) = \frac { 63 } { 256 }\)
  1. by forming and solving an equation in \(a\), show that \(a = 9\)
  2. find the sampling distribution of \(R\)
Edexcel S2 2022 October Q7
  1. (i) The continuous random variable \(X\) is uniformly distributed over the interval \([ a , b ]\)
Given that \(\mathrm { P } ( 5 < X < 13 ) = \frac { 1 } { 5 }\) and \(\mathrm { E } ( X ) = 9\), find \(\mathrm { P } ( 3 X > a + b )\)
(ii) The continuous random variable \(Y\) is uniformly distributed over the interval \([ 1 , c ]\) Given that \(\operatorname { Var } ( Y ) = 0.48\), find the exact value of \(\mathrm { E } \left( Y ^ { 2 } \right)\)
(iii) A wire of length 20 cm is cut into 2 pieces at a random point. The longest piece of wire is then cut into 2 pieces, equal in length, giving 3 pieces of wire altogether. Find the probability that the length of the shortest piece of wire is less than 6 cm .
Edexcel S2 2023 October Q1
  1. Sam is a telephone sales representative.
For each call to a customer
  • Sam either makes a sale or does not make a sale
  • sales are made independently
Past records show that, for each call to a customer, the probability that Sam makes a sale is 0.2
  1. Find the probability that Sam makes
    1. exactly 2 sales in 14 calls,
    2. more than 3 sales in 25 calls. Sam makes \(n\) calls each day.
  2. Find the minimum value of \(n\)
    1. so that the expected number of sales each day is at least 6
    2. so that the probability of at least 1 sale in a randomly selected day exceeds 0.95
Edexcel S2 2023 October Q2
  1. The continuous random variable \(X\) has probability density function \(\mathrm { f } ( x )\) given by
$$\mathrm { f } ( x ) = \begin{cases} a x ^ { 3 } & 0 \leqslant x \leqslant 4
b x + c & 4 < x \leqslant d
0 & \text { otherwise } \end{cases}$$ where \(a\), \(b\), \(c\) and \(d\) are constants such that
  • \(b x + c = a x ^ { 3 }\) at \(x = 4\)
  • \(b x + c\) is a straight line segment with end coordinates ( \(4,64 a\) ) and ( \(d , 0\) )
    1. State the mode of \(X\)
Given that the mode of \(X\) is equal to the median of \(X\)
  • use algebraic integration to show that \(a = \frac { 1 } { 128 }\)
  • Find the value of \(d\)
  • Hence find the value of \(b\) and the value of \(c\)
  • Edexcel S2 2023 October Q3
    1. Every morning Navtej travels from home to work. Navtej leaves home at a random time between 08:00 and 08:15
    • It always takes Navtej 3 minutes to walk to the bus stop
    • Buses run every 15 minutes and Navtej catches the first bus that arrives
    • Once Navtej has caught the bus it always takes a further 29 minutes for Navtej to reach work
    The total time, \(T\) minutes, for Navtej's journey from home to work is modelled by a continuous uniform distribution over the interval \([ \alpha , \beta ]\)
      1. Show that \(\alpha = 32\)
      2. Show that \(\beta = 47\)
    1. State fully the probability density function for this distribution.
    2. Find the value of
      1. \(\mathrm { E } ( T )\)
      2. \(\operatorname { Var } ( T )\)
    3. Find the probability that the time for Navtej's journey is within 5 minutes of 35 minutes.
    Edexcel S2 2023 October Q4
    1. A manufacturer makes t -shirts in 3 sizes, small, medium and large.
    20\% of the t -shirts made by the manufacturer are small and sell for \(\pounds 10 30 \%\) of the t -shirts made by the manufacturer are medium and sell for \(\pounds 12\) The rest of the t -shirts made by the manufacturer are large and sell for \(\pounds 15\)
    1. Find the mean value of the t -shirts made by the manufacturer. A random sample of 3 t -shirts made by the manufacturer is taken.
    2. List all the possible combinations of the individual selling prices of these 3 t-shirts.
    3. Find the sampling distribution of the median selling price of these 3 t-shirts.
    Edexcel S2 2023 October Q5
    1. A supermarket receives complaints at a mean rate of 6 per week.
      1. State one assumption necessary, in order for a Poisson distribution to be used to model the number of complaints received by the supermarket.
      2. Find the probability that, in a given week, there are
        1. fewer than 3 complaints received by the supermarket,
        2. at least 6 complaints received by the supermarket.
      In a randomly selected week, the supermarket received 12 complaints.
    2. Test, at the \(5 \%\) level of significance, whether or not there is evidence that the mean number of complaints is greater than 6 per week.
      State your hypotheses clearly. Following changes made by the supermarket, it received 26 complaints over a 6-week period.
    3. Use a suitable approximation to test whether or not there is evidence that, following the changes, the mean number of complaints received is less than 6 per week. You should state your hypotheses clearly and use a 5\% significance level.
    Edexcel S2 2023 October Q6
    1. The continuous random variable \(Y\) has cumulative distribution function given by
    $$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 0 & y < 0
    \frac { 1 } { 21 } y ^ { 2 } & 0 \leqslant y \leqslant k
    \frac { 2 } { 15 } \left( 6 y - \frac { y ^ { 2 } } { 2 } \right) - \frac { 7 } { 5 } & k < y \leqslant 6
    1 & y > 6 \end{array} \right.$$
    1. Find \(\mathrm { P } \left( \left. Y < \frac { 1 } { 4 } k \right\rvert \, Y < k \right)\)
    2. Find the value of \(k\)
    3. Use algebraic calculus to find \(\mathrm { E } ( Y )\)
    Edexcel S2 2023 October Q20
    20\% of the t -shirts made by the manufacturer are small and sell for \(\pounds 10 30 \%\) of the t -shirts made by the manufacturer are medium and sell for \(\pounds 12\) The rest of the t -shirts made by the manufacturer are large and sell for \(\pounds 15\)
    1. Find the mean value of the t -shirts made by the manufacturer. A random sample of 3 t -shirts made by the manufacturer is taken.
    2. List all the possible combinations of the individual selling prices of these 3 t-shirts.
    3. Find the sampling distribution of the median selling price of these 3 t-shirts.
      1. A supermarket receives complaints at a mean rate of 6 per week.
      2. State one assumption necessary, in order for a Poisson distribution to be used to model the number of complaints received by the supermarket.
      3. Find the probability that, in a given week, there are
        1. fewer than 3 complaints received by the supermarket,
        2. at least 6 complaints received by the supermarket.
      In a randomly selected week, the supermarket received 12 complaints.
    4. Test, at the \(5 \%\) level of significance, whether or not there is evidence that the mean number of complaints is greater than 6 per week.
      State your hypotheses clearly. Following changes made by the supermarket, it received 26 complaints over a 6-week period.
    5. Use a suitable approximation to test whether or not there is evidence that, following the changes, the mean number of complaints received is less than 6 per week. You should state your hypotheses clearly and use a 5\% significance level.
      1. The continuous random variable \(Y\) has cumulative distribution function given by
      $$\mathrm { F } ( y ) = \left\{ \begin{array} { l r } 0 & y < 0
      \frac { 1 } { 21 } y ^ { 2 } & 0 \leqslant y \leqslant k
      \frac { 2 } { 15 } \left( 6 y - \frac { y ^ { 2 } } { 2 } \right) - \frac { 7 } { 5 } & k < y \leqslant 6
      1 & y > 6 \end{array} \right.$$
    6. Find \(\mathrm { P } \left( \left. Y < \frac { 1 } { 4 } k \right\rvert \, Y < k \right)\)
    7. Find the value of \(k\)
    8. Use algebraic calculus to find \(\mathrm { E } ( Y )\)
      1. The discrete random variable \(X\) is given by
      $$X \sim \mathrm {~B} ( n , p )$$ The value of \(n\) and the value of \(p\) are such that \(X\) can be approximated by a normal random variable \(Y\) where $$Y \sim \mathrm {~N} \left( \mu , \sigma ^ { 2 } \right)$$ Given that when using a normal approximation $$\mathrm { P } ( X < 86 ) = 0.2266 \text { and } \mathrm { P } ( X > 97 ) = 0.1056$$
    9. show that \(\sigma = 6\)
    10. Hence find the value of \(n\) and the value of \(p\)
    Edexcel S2 2018 Specimen Q1
    1. The number of cars caught speeding per day, by a particular camera, has a Poisson distribution with mean 0.8
      1. Find the probability that in a given 4 day period exactly 3 cars will be caught speeding by this camera.
      A car has been caught speeding by this camera.
    2. Find the probability that the period of time that elapses before the next car is caught speeding by this camera is less than 48 hours. Given that 4 cars were caught speeding by this camera in a two day period,
    3. find the probability that 1 was caught on the first day and 3 were caught on the second day. Each car that is caught speeding by this camera is fined £60
    4. Using a suitable approximation, find the probability that, in 90 days, the total amount of fines issued will be more than \(\pounds 5000\)