Questions S2 (1690 questions)

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AQA AS Paper 1 AS Paper 2 C1 C2 C3 C4 D1 D2 FP1 FP2 FP3 Further AS Paper 1 Further AS Paper 2 Discrete Further AS Paper 2 Mechanics Further AS Paper 2 Statistics Further Paper 1 Further Paper 2 Further Paper 3 Discrete Further Paper 3 Mechanics Further Paper 3 Statistics M1 M2 M3 Paper 1 Paper 2 Paper 3 S1 S2 S3 CAIE FP1 FP2 Further Paper 1 Further Paper 2 Further Paper 3 Further Paper 4 M1 M2 P1 P2 P3 S1 S2 Edexcel AEA AS Paper 1 AS Paper 2 C1 C12 C2 C3 C34 C4 CP AS CP1 CP2 D1 D2 F1 F2 F3 FD1 FD1 AS FD2 FD2 AS FM1 FM1 AS FM2 FM2 AS FP1 FP1 AS FP2 FP2 AS FP3 FS1 FS1 AS FS2 FS2 AS M1 M2 M3 M4 M5 P1 P2 P3 P4 PMT Mocks PURE Paper 1 Paper 2 Paper 3 S1 S2 S3 S4 OCR AS Pure C1 C2 C3 C4 D1 D2 FD1 AS FM1 AS FP1 FP1 AS FP2 FP3 FS1 AS Further Additional Pure Further Additional Pure AS Further Discrete Further Discrete AS Further Mechanics Further Mechanics AS Further Pure Core 1 Further Pure Core 2 Further Pure Core AS Further Statistics Further Statistics AS H240/01 H240/02 H240/03 M1 M2 M3 M4 PURE S1 S2 S3 S4 OCR MEI AS Paper 1 AS Paper 2 C1 C2 C3 C4 D1 D2 FP1 FP2 FP3 Further Extra Pure Further Mechanics A AS Further Mechanics B AS Further Mechanics Major Further Mechanics Minor Further Numerical Methods Further Pure Core Further Pure Core AS Further Pure with Technology Further Statistics A AS Further Statistics B AS Further Statistics Major Further Statistics Minor M1 M2 M3 M4 Paper 1 Paper 2 Paper 3 S1 S2 S3 S4 Pre-U Pre-U 9794/1 Pre-U 9794/2 Pre-U 9794/3 Pre-U 9795 Pre-U 9795/1 Pre-U 9795/2 WJEC Further Unit 1 Further Unit 2 Further Unit 3 Further Unit 4 Further Unit 5 Further Unit 6 Unit 1 Unit 2 Unit 3 Unit 4
Edexcel S2 Q2
7 marks Moderate -0.8
On a stretch of motorway accidents occur at a rate of 0.9 per month.
  1. Show that the probability of no accidents in the next month is 0.407, to 3 significant figures. [1] Find the probability of
  2. exactly 2 accidents in the next 6 month period, [3]
  3. no accidents in exactly 2 of the next 4 months. [3]
Edexcel S2 Q3
7 marks Moderate -0.3
In a sack containing a large number of beads \(\frac{1}{4}\) are coloured gold and the remainder are of different colours. A group of children use some of the beads in a craft lesson and do not replace them. Afterwards the teacher wishes to know whether or not the proportion of gold beads left in the sack has changed. She selects a random sample of 20 beads and finds that 2 of them are coloured gold. Stating your hypotheses clearly test, at the 10\% level of significance, whether or not there is evidence that the proportion of gold beads has changed. [7]
Edexcel S2 Q4
12 marks Standard +0.3
A company always sends letters by second class post unless they are marked first class. Over a long period of time it has been established that 20\% of letters to be posted are marked first class. In a random selection of 10 letters to be posted, find the probability that the number marked first class is
  1. at least 3, [2]
  2. fewer than 2. [2]
One Monday morning there are only 12 first class stamps. Given that there are 70 letters to be posted that day,
  1. use a suitable approximation to find the probability that there are enough first class stamps, [7]
  2. State an assumption about these 70 letters that is required in order to make the calculation in part (c) valid. [1]
Edexcel S2 Q5
12 marks Standard +0.3
The maintenance department of a college receives requests for replacement light bulbs at a rate of 2 per week. Find the probability that in a randomly chosen week the number of requests for replacement light bulbs is
  1. exactly 4, [2]
  2. more than 5. [2]
Three weeks before the end of term the maintenance department discovers that there are only 5 light bulbs left.
  1. Find the probability that the department can meet all requests for replacement light bulbs before the end of term. [3]
The following term the principal of the college announces a package of new measures to reduce the amount of damage to college property. In the first 4 weeks following this announcement, 3 requests for replacement light bulbs are received.
  1. Stating your hypotheses clearly test, at the 5\% level of significance, whether or not there is evidence that the rate of requests for replacement light bulbs has decreased. [5]
Edexcel S2 Q6
14 marks Standard +0.3
The continuous random variable X has cumulative distribution function F(x) given by $$\text{F}(x) = \begin{cases} 0, & x < 1 \\ \frac{1}{2}(-x^3 + 6x^2 - 5), & 1 \leq x \leq 4 \\ 1, & x > 4 \end{cases}$$
  1. Find the probability density function f(x). [3]
  2. Find the mode of X. [2]
  3. Sketch f(x) for all values of x. [3]
  4. Find the mean \(\mu\) of X. [3]
  5. Show that F(\(\mu\)) > 0.5. [1]
  6. Show that the median of X lies between the mode and the mean. [2]
Edexcel S2 Q7
17 marks Moderate -0.3
In a computer game, a star moves across the screen, with constant speed, taking 1 s to travel from one side to the other. The player can stop the star by pressing a key. The object of the game is to stop the star in the middle of the screen by pressing the key exactly 0.5 s after the star first appears. Given that the player actually presses the key 7 s after the star first appears, a simple model of the game assumes that T is a continuous uniform random variable defined over the interval [0, 1].
  1. Write down P(T < 0.2). [1]
  2. Write down E(T). [1]
  3. Use integration to find Var(T). [4]
A group of 20 children each play this game once.
  1. Find the probability that no more than 4 children stop the star in less than 0.2 s. [3]
The children are allowed to practise this game so that this continuous uniform model is no longer applicable.
  1. Explain how you would expect the mean and variance of T to change. [2]
It is found that a more appropriate model of the game when played by experienced players assumes that T has a probability density function g(t) given by $$g(t) = \begin{cases} 4t, & 0 \leq t \leq 0.5, \\ 4 - 4t, & 0.5 \leq t \leq 1, \\ 0, & otherwise. \end{cases}$$
  1. Using this model show that P(T < 0.2) = 0.08. [2]
A group of 75 experienced players each played this game once.
  1. Using a suitable approximation, find the probability that more than 7 of them stop the star in less than 0.2 s. [4]
Edexcel S2 Q1
7 marks Easy -1.8
Explain what you understand by
  1. a population, [1]
  2. a statistic. [2]
A questionnaire concerning attitudes to classes in a college was completed by a random sample of 50 students. The students gave the college a mean approval rating of 75\%.
  1. Identify the population and the statistic in this situation. [2]
  2. Explain what you understand by the sampling distribution of this statistic. [2]
Edexcel S2 Q2
7 marks Standard +0.3
The number of houses sold per week by a firm of estate agents follows a Poisson distribution with mean 2.5. The firm appoints a new salesman and wants to find out whether or not house sales increase as a result. After the appointment of the salesman, the number of house sales in a randomly chosen 4-week period is 14. Stating your hypotheses clearly test, at the 5\% level of significance, whether or not the new salesman has increased house sales. [7]
Edexcel S2 Q3
7 marks Moderate -0.8
An airline knows that overall 3\% of passengers do not turn up for flights. The airline decides to adopt a policy of selling more tickets than there are seats on a flight. For an aircraft with 196 seats, the airline sold 200 tickets for a particular flight.
  1. Write down a suitable model for the number of passengers who do not turn up for this flight after buying a ticket. [2]
By using a suitable approximation, find the probability that
  1. more than 196 passengers turn up for this flight, [3]
  2. there is at least one empty seat on this flight. [2]
Edexcel S2 Q4
11 marks Moderate -0.8
Jean catches a bus to work every morning. According to the timetable the bus is due at 8 a.m., but Jean knows that the bus can arrive at a random time between five minutes early and 9 minutes late. The random variable X represents the time, in minutes, after 7.55 a.m. when the bus arrives.
  1. Suggest a suitable model for the distribution of X and specify it fully. [2]
  2. Calculate the mean time of arrival of the bus. [3]
  3. Find the cumulative distribution function of X. [4]
Jean will be late for work if the bus arrives after 8.05 a.m.
  1. Find the probability that Jean is late for work. [2]
Edexcel S2 Q5
13 marks Moderate -0.3
An Internet service provider has a large number of users regularly connecting to its computers. On average only 3 users every hour fail to connect to the Internet at their first attempt.
  1. Give 2 reasons why a Poisson distribution might be a suitable model for the number of failed connections every hour. [2]
Find the probability that in a randomly chosen hour
  1. all Internet users connect at their first attempt, [2]
  2. more than 4 users fail to connect at their first attempt. [2]
  1. Write down the distribution of the number of users failing to connect at their first attempt in an 8-hour period. [1]
  2. Using a suitable approximation, find the probability that 12 or more users fail to connect at their first attempt in a randomly chosen 8-hour period. [6]
Edexcel S2 Q6
14 marks Moderate -0.3
The owner of a small restaurant decides to change the menu. A trade magazine claims that 40\% of all diners choose organic foods when eating away from home. On a randomly chosen day there are 20 diners eating in the restaurant.
  1. Assuming the claim made by the trade magazine to be correct, suggest a suitable model to describe the number of diners X who choose organic foods. [2]
  2. Find P(5 < X < 15). [4]
  3. Find the mean and standard deviation of X. [3]
The owner decides to survey her customers before finalising the new menu. She surveys 10 randomly chosen diners and finds 8 who prefer eating organic foods.
  1. Test, at the 5\% level of significance, whether or not there is reason to believe that the proportion of diners in her restaurant who prefer to eat organic foods is higher than the trade magazine's claim. State your hypotheses clearly. [5]
Edexcel S2 Q7
16 marks Standard +0.3
A continuous random variable X has cumulative distribution function F(x) given by $$\text{F}(x) = \begin{cases} 0, & x < 0, \\ kx^2 + 2kx, & 0 \leq x \leq 2, \\ 8k, & x > 2. \end{cases}$$
  1. Show that \(k = \frac{1}{8}\). [1]
  2. Find the median of X. [3]
  3. Find the probability density function f(x). [3]
  4. Sketch f(x) for all values of x. [3]
  5. Write down the mode of X. [1]
  6. Find E(X). [3]
  7. Comment on the skewness of this distribution. [2]
Edexcel S2 Q1
4 marks Easy -2.0
The manager of a leisure club is considering a change to the club rules. The club has a large membership and the manager wants to take the views of the members into consideration before deciding whether or not to make the change.
  1. Explain briefly why the manager might prefer to use a sample survey rather than a census to obtain the views. [2]
  2. Suggest a suitable sampling frame. [1]
  3. Identify the sampling units. [1]
Edexcel S2 Q2
5 marks Easy -1.8
A random sample \(X_1, X_2, ..., X_n\) is taken from a finite population. A statistic Y is based on this sample.
  1. Explain what you understand by the statistic Y. [2]
  2. Give an example of a statistic. [1]
  3. Explain what you understand by the sampling distribution of Y. [2]
Edexcel S2 Q3
9 marks Standard +0.3
The continuous random variable R is uniformly distributed on the interval \(\alpha \leq R \leq \beta\). Given that E(R) = 3 and Var(R) = \(\frac{4}{3}\), find
  1. the value of \(\alpha\) and the value of \(\beta\), [7]
  2. P(R < 6.6). [2]
Edexcel S2 Q4
13 marks Standard +0.3
Past records show that 20\% of customers who buy crisps from a large supermarket buy them in single packets. During a particular day a random sample of 25 customers who had bought crisps were taken and 2 of them had bought them in single packets.
  1. Use these data to test, at the 5\% level of significance, whether or not the percentage of customers who bought crisps in single packets that day was lower than usual. State your hypotheses clearly. [6]
At the same supermarket, the manager thinks that the probability of a customer buying a bumper pack of crisps is 0.03. To test whether or not this hypothesis is true the manager decides to take a random sample of 300 customers.
  1. Stating your hypotheses clearly, find the critical region to enable the manager to test whether or not there is evidence that the probability is different from 0.03. The probability for each tail of the region should be as close as possible to 2.5\%. [6]
  2. Write down the significance level of this test. [1]
Edexcel S2 Q5
13 marks Standard +0.3
A garden centre sells canes of nominal length 150 cm. The canes are bought from a supplier who uses a machine to cut canes of length L where L ~ N(\(\mu\), 0.3²).
  1. Find the value of \(\mu\), to the nearest 0.1 cm, such that there is only a 5\% chance that a cane supplied to the garden centre will have length less than 150 cm. [4]
A customer buys 10 of these canes from the garden centre.
  1. Find the probability that at most 2 of the canes have length less than 150 cm. [3]
Another customer buys 500 canes.
  1. Using a suitable approximation, find the probability that fewer than 35 of the canes will have length less than 150 cm. [6]
Edexcel S2 Q6
14 marks Standard +0.3
From past records, a manufacturer of twine knows that faults occur in the twine at random and at a rate of 1.5 per 25 m.
  1. Find the probability that in a randomly chosen 25 m length of twine there will be exactly 4 faults. [2]
The twine is usually sold in balls of length 100 m. A customer buys three balls of twine.
  1. Find the probability that only one of them will have fewer than 6 faults. [6]
As a special order a ball of twine containing 500 m is produced.
  1. Using a suitable approximation, find the probability that it will contain between 23 and 33 faults inclusive. [6]
Edexcel S2 Q7
17 marks Standard +0.3
The continuous random variable X has probability density function $$f(x) = \begin{cases} \frac{x}{15}, & 0 \leq x \leq 2, \\ \frac{x}{15}, & \\ \frac{2x}{45}, & 2 < x < 7, \\ \frac{2}{9}, & 7 \leq x \leq 10, \\ 0, & otherwise. \end{cases}$$
  1. Sketch f(x) for all values of x. [3]
  2. Find expressions for the cumulative distribution function, F(x), for 0 ≤ x ≤ 2 and for 7 ≤ x ≤ 10. [8]
  3. Find P(X ≤ 8.2). [2]
  4. Find, to 3 significant figures, E(X). [4]
Edexcel S2 Q1
6 marks Moderate -0.8
An engineer measures, to the nearest cm, the lengths of metal rods.
  1. Suggest a suitable model to represent the difference between the true lengths and the measured lengths. [2]
  2. Find the probability that for a randomly chosen rod the measured length will be within 0.2 cm of the true length. [2]
Two rods are chosen at random.
  1. Find the probability that for both rods the measured lengths will be within 0.2 cm of their true lengths. [2]
Edexcel S2 Q2
8 marks Standard +0.3
A single observation x is to be taken from a Poisson distribution with parameter \(\lambda\). This observation is to be used to test H₀: \(\lambda\) = 7 against H₁: \(\lambda\) ≠ 7.
  1. Using a 5\% significance level, find the critical region for this test assuming that the probability of rejection in either tail is as close as possible to 2.5\%. [5]
  2. Write down the significance level of this test. [1]
The actual value of x obtained was 5.
  1. State a conclusion that can be drawn based on this value. [2]
Edexcel S2 Q3
12 marks Moderate -0.3
A botanist suggests that the number of a particular variety of weed growing in a meadow can be modelled by a Poisson distribution.
  1. Write down two conditions that must apply for this model to be applicable. [2]
Assuming this model and a mean of 0.7 weeds per m², find
  1. the probability that in a randomly chosen plot of size 4 m² there will be fewer than 3 of these weeds, [4]
  2. Using a suitable approximation, find the probability that in a plot of 100 m² there will be more than 66 of these weeds. [6]
Edexcel S2 Q4
14 marks Standard +0.3
The continuous random variable X has cumulative distribution function $$\text{F}(x) = \begin{cases} 0, & x < 0, \\ \frac{1}{4}x²(4 - x²), & 0 \leq x \leq 1, \\ 1, & x > 1. \end{cases}$$
  1. Find P(X > 0.7). [2]
  2. Find the probability density function f(x) of X. [2]
  3. Calculate E(X) and show that, to 3 decimal places, Var(X) = 0.057. [6]
One measure of skewness is $$\frac{\text{Mean} - \text{Mode}}{\text{Standard deviation}}$$
  1. Evaluate the skewness of the distribution of X. [4]
Edexcel S2 Q5
15 marks Moderate -0.3
A farmer noticed that some of the eggs laid by his hens had double yolks. He estimated the probability of this happening to be 0.05. Eggs are packed in boxes of 12. Find the probability that in a box, the number of eggs with double yolks will be
  1. exactly one, [3]
  2. more than three. [2]
A customer bought three boxes.
  1. Find the probability that only 2 of the boxes contained exactly 1 egg with a double yolk. [3]
The farmer delivered 10 boxes to a local shop.
  1. Using a suitable approximation, find the probability that the delivery contained at least 9 eggs with double yolks. [4]
The weight of an individual egg can be modelled by a normal distribution with mean 65 g and standard deviation 2.4 g.
  1. Find the probability that a randomly chosen egg weighs more than 68 g. [3]