Questions — OCR (4907 questions)

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OCR Further Statistics AS 2024 June Q3
11 marks Standard +0.3
3 The ages, \(x\) years, and the reaction time, \(t\) seconds, in an experiment carried out on a sample of 15 volunteers are summarised as follows. \(n = 15 \quad \sum x = 762 \quad \sum t = 8.7 \quad \sum x ^ { 2 } = 44204 \quad \sum t ^ { 2 } = 5.65 \quad \sum x t = 490.1\)
  1. Calculate the value of the product moment correlation coefficient between \(x\) and \(t\).
  2. Calculate the equation of the line of regression of \(t\) on \(x\). Give your answer in the form \(\mathrm { t } = \mathrm { a } + \mathrm { bx }\) where \(a\) and \(b\) are constants to be determined.
  3. Explain the relevance of the quantity \(\sum ( t - a - b x ) ^ { 2 }\) to your answer to part (b).
  4. Estimate the reaction time, in seconds, for a volunteer aged 42. It is subsequently decided to measure the reaction time in tenths of a second rather than in seconds (so, for example, a time of 0.6 seconds would now be recorded as 6 ).
    1. State what effect, if any, this change would have on your answer to part (a).
    2. State what effect, if any, this change would have on your answer to part (b). It is known that the sample of 15 volunteers consisted almost entirely of students and retired people.
  5. Using this information, and the value of the product moment correlation coefficient, comment on the reliability of your estimate in part (d).
OCR Further Statistics AS 2024 June Q5
9 marks Standard +0.3
5 In a fashion competition, two judges gave marks to a large number of contestants. The value of Spearman's rank correlation coefficient, \(\mathrm { r } _ { \mathrm { s } }\), between the marks given to 7 randomly chosen contestants is \(\frac { 27 } { 28 }\).
  1. An excerpt from the table of critical values of \(\mathrm { r } _ { \mathrm { s } }\) is shown below. \section*{Critical values of Spearman's rank correlation coefficient}
    1-tail test5\%2.5\%1\%0.5\%
    2-tail test10\%5\%2\%1\%
    \multirow{3}{*}{\(n\)}60.82860.88570.94291.0000
    70.71430.78570.89290.9286
    80.64290.73810.83330.8810
    Test whether there is evidence, at the 1\% significance level, that the judges agree with each another. The marks given by the two judges to the 7 randomly chosen contestants were as follows, where \(x\) is an integer.
    ContestantABCD\(E\)\(F\)G
    Judge 164656778798086
    Judge 2616378808190\(x\)
  2. Use the value \(\mathrm { r } _ { \mathrm { s } } = \frac { 27 } { 28 }\) to determine the range of possible values of \(x\).
  3. Give a reason why it might be preferable to use the product moment correlation coefficient rather than Spearman's rank correlation coefficient in this context.
OCR Further Statistics AS 2024 June Q6
12 marks Standard +0.3
6 Anika walks along a street that contains parked cars. The number of cars that Anika passes, up to and including the first car that is white, is denoted by \(X\).
  1. State two assumptions needed for \(X\) to be well modelled by a geometric distribution. Assume now that \(X\) can be well modelled by the distribution \(\operatorname { Geo } ( p )\), where \(0 < p < 1\).
  2. For \(p = 0.1\), find \(\mathrm { P } ( X > 6 )\). The number of cars that Anika passes, up to but not including the first car that is white, is denoted by \(Y\).
  3. For a general value of \(p\), determine a simplified expression for \(\mathrm { E } ( Y ) \div \operatorname { Var } ( Y )\), in terms of \(p\). Ben walks along a different street that also contains parked cars. The number of cars that Ben passes, up to and including the first white car on which the last digit of the number plate is even is denoted by \(Z\). It may be assumed that \(Z\) can be well modelled by the distribution \(\operatorname { Geo } \left( \frac { 1 } { 2 } p \right)\), where \(p\) is the parameter of the distribution of \(X\). It is given that \(\mathrm { P } ( \mathrm { Z } = 3 ) = \mathrm { kP } ( \mathrm { X } = 3 )\), where \(k\) is a positive constant.
  4. Determine the range of possible values of \(k\).
OCR Further Statistics AS 2020 November Q1
5 marks Moderate -0.3
1 Five observations of bivariate data \(( x , y )\) are given in the table.
\(x\)781264
\(y\)201671723
  1. Find the value of Pearson's product-moment correlation coefficient.
  2. State what your answer to part (a) tells you about a scatter diagram representing the data.
  3. A new variable \(a\) is defined by \(\mathrm { a } = 3 \mathrm { x } + 4\). Dee says "The value of Pearson's product-moment correlation coefficient between \(a\) and \(y\) will not be the same as the answer to part (a)." State with a reason whether you agree with Dee.
OCR Further Statistics AS 2020 November Q2
8 marks Moderate -0.8
2 Every time a spinner is spun, the probability that it shows the number 4 is 0.2 , independently of all other spins.
  1. A pupil spins the spinner repeatedly until it shows the number 4. Find the mean of the number of spins required.
  2. Calculate the probability that the number of spins required is between 3 and 10 inclusive.
  3. Each pupil in a class of 30 spins the spinner until it shows the number 4. Out of the 30 pupils, the number of pupils who require at least 10 spins is denoted by \(X\). Determine the variance of \(X\).
OCR Further Statistics AS 2020 November Q3
9 marks Moderate -0.3
3 An investor obtains data about the profits of 8 randomly chosen investment accounts over two one-year periods. The profit in the first year for each account is \(p \%\) and the profit in the second year for each account is \(q \%\). The results are shown in the table and in the scatter diagram.
AccountABCDEFGH
\(p\)1.62.12.42.72.83.35.28.4
\(q\)1.62.32.22.23.12.97.64.8
\(n = 8 \quad \sum \mathrm { p } = 28.5 \quad \sum \mathrm { q } = 26.7 \quad \sum \mathrm { p } ^ { 2 } = 136.35 \quad \sum \mathrm { q } ^ { 2 } = 116.35 \quad \sum \mathrm { pq } = 116.70\) \includegraphics[max width=\textwidth, alt={}, center]{bf1468d1-e02e-47d2-bf41-5bc8f5b4d7c4-3_782_1280_998_242}
  1. State which, if either, of the variables \(p\) and \(q\) is independent.
  2. Calculate the equation of the regression line of \(q\) on \(p\).
    1. Use the regression line to estimate the value of \(q\) for an investment account for which \(p = 2.5\).
    2. Give two reasons why this estimate could be considered reliable.
  3. Comment on the reliability of using the regression line to predict the value of \(q\) when \(p = 7.0\).
OCR Further Statistics AS 2020 November Q4
9 marks Standard +0.3
4 After a holiday organised for a group, the company organising the holiday obtained scores out of 10 for six different aspects of the holiday. The company obtained responses from 100 couples and 100 single travellers. The total scores for each of the aspects are given in the following table.
AspectCouplesSingle travellers
Organisation884867
Travel710633
Food692675
Leader898898
Included visits561736
Optional visits683712
Fred wishes to test whether there is significant positive correlation between the scores given by the two categories.
  1. Explain why it is probably not appropriate to use Pearson's product-moment correlation coefficient.
  2. Carry out an appropriate test at the \(1 \%\) level.
  3. Explain what is meant by the statement that the test carried out in part (b) is a non-parametric test.
OCR Further Statistics AS 2020 November Q5
12 marks Standard +0.3
5 At a cinema there are three film sessions each Saturday, "early", "middle" and "late". The numbers of the audience, in different age groups, at the three showings on a randomly chosen Saturday are given in Table 1. \begin{table}[h]
\multirow{2}{*}{Observed frequencies}Session
EarlyMiddleLate
\multirow{3}{*}{Age group}< 25242040
25 to 604210
> 60282210
\captionsetup{labelformat=empty} \caption{Table 1}
\end{table} The cinema manager carries out a test of whether there is any association between age group and session attended.
  1. Show that it is necessary to combine cells in order to carry out the test. It is decided to combine the second and third rows of the table. Some of the expected frequencies for the table with rows combined, and the corresponding contributions to the \(\chi ^ { 2 }\) test statistic, are shown in the following incomplete tables. \begin{table}[h]
    \multirow{2}{*}{Expected frequencies}Session
    EarlyMiddleLate
    \multirow{2}{*}{Age group}< 2529.423.1
    \(\geqslant 25\)26.620.9
    \captionsetup{labelformat=empty} \caption{Table 2}
    \end{table} \begin{table}[h]
    \multirow{2}{*}{Contribution to \(\chi ^ { 2 }\)}Session
    EarlyMiddleLate
    \multirow{2}{*}{Age group}< 250.99180.4160
    \(\geqslant 25\)1.09620.4598
    \captionsetup{labelformat=empty} \caption{Table 3}
    \end{table}
  2. In the Printed Answer Booklet, complete both tables.
  3. Carry out the test at the \(5 \%\) significance level.
  4. Use the figures in your completed Table 3 to comment on the numbers of the audience in different age groups.
OCR Further Statistics AS 2020 November Q6
10 marks Moderate -0.3
6 A statistician investigates the number, \(F\), of signal failures per week on a railway network.
  1. The statistician assumes that signal failures occur randomly. Explain what this statement means.
  2. State two further assumptions needed for \(F\) to be well modelled by a Poisson distribution. In a random sample of 50 weeks, the statistician finds that the mean number of failures per week is 1.61, with standard deviation 1.28.
  3. Explain whether this suggests that \(F\) is likely to be well modelled by a Poisson distribution. Assume first that \(F \sim \operatorname { Po } ( 1.61 )\).
  4. Write down an exact expression for \(\mathrm { P } ( F = 0 )\).
  5. Complete the table in the Printed Answer Booklet to show the probabilities of different values of \(F\), correct to three significant figures.
    Value of \(F\)01\(\geqslant 2\)
    Probability0.200
    After further investigation, the statistician decides to use a different model for the distribution of \(F\). In this model it is now assumed that \(\mathrm { P } ( F = 0 )\) is still 0.200 , but that if one failure occurs, there is an increased probability that further failures occur.
  6. Explain the effect of this assumption on the value of \(\mathrm { P } ( F = 1 )\).
OCR Further Statistics AS 2020 November Q7
7 marks Standard +0.8
7 A bag contains \(2 m\) yellow and \(m\) green counters. Three counters are chosen at random, without replacement. The probability that exactly two of the three counters are yellow is \(\frac { 28 } { 55 }\). Determine the value of \(m\).
OCR Further Statistics AS 2021 November Q1
8 marks Easy -1.8
1 The discrete random variable \(A\) has the following probability distribution.
\(a\)1251020
\(\mathrm { P } ( A = a )\)0.30.10.10.20.3
  1. Find the value of \(\mathrm { E } ( A )\).
  2. Determine the value of \(\operatorname { Var } ( A )\).
  3. The variable \(A\) represents the value in pence of a coin chosen at random from a pile. Mia picks one coin at random from the pile. She then adds, from a different source, another coin of the same value as the one that she has chosen, and one 50p coin.
    1. Find the mean of the value of the three coins.
    2. Find the variance of the value of the three coins.
OCR Further Statistics AS 2021 November Q2
7 marks Standard +0.3
2 A shopper estimates the cost, \(\pounds X\) per item, of each of 12 items in a supermarket. The shopper's estimates are compared with the actual cost, \(\pounds Y\) per item, of each item. The results are summarised as follows. \(n = 12\) \(\sum x = 399\) \(\sum y = 623.88\) \(\sum x ^ { 2 } = 28127\) \(\sum y ^ { 2 } = 116509.0212\) \(\sum x y = 45006.01\) Test at the 1\% significance level whether the shopper's estimates are positively correlated with the actual cost of the items.
OCR Further Statistics AS 2021 November Q3
7 marks Moderate -0.3
3
  1. Using the scatter diagram in the Printed Answer Booklet, explain what is meant by least squares in the context of a regression line of \(y\) on \(x\).
  2. A set of bivariate data \(( t , u )\) is summarised as follows. \(n = 5 \quad \sum t = 35 \quad \sum u = 54\) \(\sum t ^ { 2 } = 285 \quad \sum u ^ { 2 } = 758 \quad \sum \mathrm { tu } = 460\)
    1. Calculate the equation of the regression line of \(u\) on \(t\).
    2. The variables \(t\) and \(u\) are now scaled using the following scaling. \(\mathrm { v } = 2 \mathrm { t } , \mathrm { w } = \mathrm { u } + 4\) Find the equation of the regression line of \(w\) on \(v\), giving your equation in the form \(w = f ( v )\).
OCR Further Statistics AS 2021 November Q4
4 marks Standard +0.8
4 Two random variables \(X\) and \(Y\) have the distributions \(\mathrm { B } ( m , p )\) and \(\mathrm { B } ( n , p )\) respectively, where \(p > 0\). It is known that
  • \(\mathrm { E } ( Y ) = 2 \mathrm { E } ( X )\)
  • \(\operatorname { Var } ( Y ) = 1.2 \mathrm { E } ( X )\).
Determine the value of \(p\).
OCR Further Statistics AS 2021 November Q5
6 marks Standard +0.8
5 The discrete random variable \(X\) has a geometric distribution. It is given that \(\operatorname { Var } ( X ) = 20\).
Determine \(\mathrm { P } ( X \geqslant 7 )\).
OCR Further Statistics AS 2021 November Q6
9 marks Moderate -0.3
6 A student believes that if you ask people to choose an integer between 1 and 10, not all integers are equally likely to be chosen. The student asks a random sample of 100 people to choose an integer between 1 and 10 inclusive. The observed frequencies \(O\), together with the values of \(\frac { ( O - E ) ^ { 2 } } { E }\) where \(E\) is the corresponding expected frequency, are shown in the table.
Integer12345678910
O7820876197810
\(\frac { ( \mathrm { O } - \mathrm { E } ) ^ { 2 } } { \mathrm { E } }\)0.90.410.00.40.91.68.10.90.40
  1. Show how the value of 8.1 for integer 7 is obtained.
  2. Show that there is evidence at the \(1 \%\) significance level that the student's belief is correct. The student wishes to suggest an alternative model for the probabilities associated with each integer. In this model, two of the integers have the same probability \(p _ { 1 }\) of being chosen and the other eight integers each have probability \(p _ { 2 }\) of being chosen.
  3. Suggest which two integers should have probability \(p _ { 1 }\) and suggest a possible value of \(p _ { 1 }\).
OCR Further Statistics AS 2021 November Q7
8 marks Challenging +1.2
7 The 20 members of a club consist of 10 Town members and 10 Country members.
  1. All 20 members are arranged randomly in a straight line. Determine the probability that the Town members and the Country members alternate.
  2. Ten members of the club are chosen at random. Show that the probability that the number of Town members chosen is no more than \(r\), where \(0 \leqslant r \leqslant 10\), is given by \(\frac { 1 } { \mathrm {~N} } \sum _ { \mathrm { i } = 0 } ^ { \mathrm { r } } \left( { } ^ { 10 } \mathrm { C } _ { \mathrm { i } } \right) ^ { 2 }\) where \(N\) is an integer to be determined.
OCR Further Statistics AS 2021 November Q8
11 marks Standard +0.3
8
  1. A substance emits particles randomly at a constant average rate of 3.2 per minute. A second substance emits particles randomly, and independently of the first source, at a constant average rate of 2.7 per minute. Find the probability that the total number of particles emitted by the two sources in a ten-minute period is less than 70 .
  2. The random variable \(X\) represents the number of particles emitted by a substance in a fixed time interval \(t\) minutes. It may be assumed that particles are emitted randomly and independently of each other. In general, the rate at which particles are emitted is proportional to the mass of the substance, but each particle emitted reduces the mass of the substance. Explain why a Poisson distribution may not be a valid model for \(X\) if the value of \(t\) is very large.
  3. The random variable \(Y\) has the distribution \(\operatorname { Po } ( \lambda )\). It is given that \(\mathrm { P } ( \mathrm { Y } = \mathrm { r } ) = \mathrm { P } ( \mathrm { Y } = \mathrm { r } + 1 )\) \(\mathrm { P } ( \mathrm { Y } = \mathrm { r } ) = 1.5 \times \mathrm { P } ( \mathrm { Y } = \mathrm { r } - 1 )\). Determine the following, in either order.
    \section*{END OF QUESTION PAPER}
OCR Further Mechanics AS 2018 June Q1
6 marks Standard +0.3
1
[diagram]
A particle \(P\) of mass \(m \mathrm {~kg}\) is attached to one end of a light inextensible string of length 3.2 m . The other end of the string is attached to a fixed point \(O\). The particle is held at rest, with the string taut and making an angle of \(15 ^ { \circ }\) with the vertical. It is then projected with velocity \(1.2 \mathrm {~ms} ^ { - 1 }\) in a direction perpendicular to \(O P\) and with a downwards component so that it begins to move in a vertical circle (see diagram). In the ensuing motion the string remains taut and the angle it makes with the downwards vertical through \(O\) is denoted by \(\theta ^ { \circ }\).
  1. Find the speed of \(P\) at the point on its path vertically below \(O\).
  2. Find the value of \(\theta\) at the point where \(P\) first comes to instantaneous rest.
OCR Further Mechanics AS 2018 June Q2
11 marks Moderate -0.3
2 A particle \(P\) of mass 3.5 kg is moving down a line of greatest slope of a rough inclined plane. At the instant that its speed is \(2.1 \mathrm {~ms} ^ { - 1 } P\) is at a point \(A\) on the plane. At that instant an impulse of magnitude 33.6 Ns , directed up the line of greatest slope, acts on \(P\).
  1. Show that as a result of the impulse \(P\) starts moving up the plane with a speed of \(7.5 \mathrm {~ms} ^ { - 1 }\). While still moving up the plane, \(P\) has speed \(1.5 \mathrm {~ms} ^ { - 1 }\) at a point \(B\) where \(A B = 4.2 \mathrm {~m}\). The plane is inclined at an angle of \(20 ^ { \circ }\) to the horizontal. The frictional force exerted by the plane on \(P\) is modelled as constant.
  2. Calculate the work done against friction as \(P\) moves from \(A\) to \(B\).
  3. Hence find the magnitude of the frictional force acting on \(P\). \(P\) first comes to instantaneous rest at point \(C\) on the plane.
  4. Calculate \(A C\).
OCR Further Mechanics AS 2018 June Q3
8 marks Standard +0.3
3 A particle moves in a straight line with constant acceleration. Its initial and final velocities are \(u\) and \(v\) respectively and at time \(t\) its displacement from its starting position is \(s\). An equation connecting these quantities is \(s = k \left( u ^ { \alpha } + v ^ { \beta } \right) t ^ { \gamma }\), where \(k\) is a dimensionless constant.
  1. Use dimensional analysis to find the values of \(\alpha , \beta\) and \(\gamma\).
  2. By considering the case where the acceleration is zero, determine the value of \(k\).
OCR Further Mechanics AS 2018 June Q4
11 marks Standard +0.8
4 \includegraphics[max width=\textwidth, alt={}, center]{5960a9cf-2c51-4c07-9973-c29604762df7-3_218_1335_251_367} Three particles \(A\), \(B\) and \(C\) are free to move in the same straight line on a large smooth horizontal surface. Their masses are \(1.2 \mathrm {~kg} , 1.8 \mathrm {~kg}\) and \(m \mathrm {~kg}\) respectively (see diagram). The coefficient of restitution in collisions between any two of them is \(\frac { 3 } { 4 }\). Initially, \(B\) and \(C\) are at rest and \(A\) is moving with a velocity of \(4.0 \mathrm {~m} \mathrm {~s} ^ { - 1 }\) towards \(B\).
  1. Show that immediately after the collision between \(A\) and \(B\) the speed of \(B\) is \(2.8 \mathrm {~ms} ^ { - 1 }\).
  2. Find the velocity of \(A\) immediately after this collision. \(B\) subsequently collides with \(C\).
  3. Find, in terms of \(m\), the velocity of \(B\) after its collision with \(C\).
  4. Given that the direction of motion of \(B\) is reversed by the collision with \(C\), find the range of possible values of \(m\).
OCR Further Mechanics AS 2018 June Q5
14 marks Standard +0.3
5 The engine of a car of mass 1200 kg produces a maximum power of 40 kW .
In an initial model of the motion of the car the total resistance to motion is assumed to be constant.
  1. Given that the greatest steady speed of the car on a straight horizontal road is \(42 \mathrm {~ms} ^ { - 1 }\), find the magnitude of the resistance force. The car is attached to a trailer of mass 200 kg by a light rigid horizontal tow bar. The greatest steady speed of the car and trailer on the road is now \(30 \mathrm {~ms} ^ { - 1 }\). The resistance to motion of the trailer may also be assumed constant.
  2. Find the magnitude of the resistance force on the trailer. The car and trailer again travel along the road. At one instant their speed is \(15 \mathrm {~ms} ^ { - 1 }\) and their acceleration is \(0.57 \mathrm {~m} \mathrm {~s} ^ { - 2 }\).
  3. (a) Find the power of the engine of the car at this instant.
    (b) Find the magnitude of the tension in the tow bar at this instant. In a refined model of the motion of the car and trailer the resistance to the motion of each is assumed to be zero until they reach a speed of \(10 \mathrm {~m} \mathrm {~s} ^ { - 1 }\). When the speed is \(10 \mathrm {~ms} ^ { - 1 }\) or above the same constant resistance forces as in the first model are assumed to apply to each. The car and trailer start at rest on the road and accelerate, using maximum power.
  4. Without carrying out any further calculations,
    (a) explain whether the time taken to attain a speed of \(20 \mathrm {~m} \mathrm {~s} ^ { - 1 }\) would be predicted to be lower, the same or higher using the refined model compared with the original model,
    (b) explain whether the greatest steady speed of the system would be predicted to be lower, the same or higher using the refined model compared with the original model.
OCR Further Mechanics AS 2018 June Q6
10 marks Challenging +1.2
6 Two particles \(A\) and \(B\) are connected by a light inextensible string. Particle \(A\) has mass 1.2 kg and moves on a smooth horizontal table in a circular path of radius 0.6 m and centre \(O\). The string passes through a small smooth hole at \(O\). Particle \(B\) moves in a horizontal circle in such a way that it is always vertically below \(A\). The angle that the portion of the string below the table makes with the downwards vertical through \(O\) is \(\theta\), where \(\cos \theta = \frac { 4 } { 5 }\) (see diagram). \includegraphics[max width=\textwidth, alt={}, center]{5960a9cf-2c51-4c07-9973-c29604762df7-4_519_803_484_632}
  1. Find the time taken for the particles to perform a complete revolution.
  2. Find the mass of \(B\). \section*{END OF QUESTION PAPER}
OCR Further Mechanics AS 2019 June Q1
6 marks Standard +0.3
1 \includegraphics[max width=\textwidth, alt={}, center]{74bada9e-60cf-4ed4-abd0-4be155b7cf81-2_533_424_402_246} A smooth wire is shaped into a circle of radius 2.5 m which is fixed in a vertical plane with its centre at a point \(O\). A small bead \(B\) is threaded onto the wire. \(B\) is held with \(O B\) vertical and is then projected horizontally with an initial speed of \(8.4 \mathrm {~ms} ^ { - 1 }\) (see diagram).
  1. Find the speed of \(B\) at the instant when \(O B\) makes an angle of 0.8 radians with the downward vertical through \(O\).
  2. Determine whether \(B\) has sufficient energy to reach the point on the wire vertically above \(O\).