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OCR MEI Further Statistics Major Specimen Q11
24 marks Standard +0.3
11 Two girls, Lili and Hui, play a game with a fair six-sided dice. The dice is thrown 10 times.
\(X _ { 1 } , X _ { 2 } , \ldots , X _ { 10 }\) represent the scores on the \(1 ^ { \text {st } } , 2 ^ { \text {nd } } , \ldots , 10 ^ { \text {th } }\) throws of the dice.
\(L\) denotes Lili's score and \(L = 10 X _ { 1 }\).
\(H\) denotes Hui's score and \(H = X _ { 1 } + X _ { 2 } + X _ { 3 } + \ldots + X _ { 10 }\).
  1. Calculate
    • \(\mathrm { P } ( L = 60 )\) and
    • \(\mathrm { P } ( H = 60 )\).
    • Without doing any further calculations, explain which girl's score has the greater standard deviation.
    • Write down
    • the name of the probability distribution of \(X _ { 1 }\),
    • the value of \(\mathrm { E } \left( X _ { 1 } \right)\),
    • the value of \(\operatorname { Var } \left( X _ { 1 } \right)\).
    • Find
      (A) \(\mathrm { E } ( L )\),
      (B) \(\operatorname { Var } ( L )\),
      (C) \(\mathrm { E } ( H )\),
      (D) \(\operatorname { Var } ( H )\).
    The spreadsheet below shows a simulation of 25 plays of the game. The cell E3, highlighted, shows the score when the dice is thrown the fourth time in the first game. \begin{table}[h]
    ABCDEFGHIJKLMN
    1Throw of diceLili'sHui's
    212345678910scorescore
    3Game 135211311143022
    4Game 263244353356038
    5Game 364265215236036
    6Game 415166314621035
    7Game 544316441624035
    8Game 621512515232027
    9Game 711344563421033
    10Game 811363445231032
    11Game 922243215562032
    12Game 1035335343113031
    13Game 1153655421155037
    14Game 1264324133536034
    15Game 1323212222212019
    16Game 1441331266134030
    17Game 1551263463645040
    18Game 1636115313333029
    19Game 1752524522345034
    20Game 1836355231123031
    21Game 1966315634166041
    22Game 2026456524332040
    23Game 2153545336615041
    24Game 2263556356116041
    25Game 2354556421365041
    26Game 2435232432333030
    27Game 2552424522525033
    28
    29mean37.6033.68
    30sd17.395.77
    \captionsetup{labelformat=empty} \caption{Fig. 11}
    \end{table}
  2. Use the simulation to estimate \(\mathrm { P } ( L > 40 )\) and \(\mathrm { P } ( H > 40 )\).
  3. (A) Calculate the exact value of \(\mathrm { P } ( L > 40 )\).
    (B) Comment on how the exact value compares with your estimate of \(\mathrm { P } ( L > 40 )\) in part (v). Hui wonders whether it is appropriate to use the Central Limit Theorem to approximate the distribution of \(X _ { 1 } + X _ { 2 } + X _ { 3 } + \ldots + X _ { 10 }\).
  4. (A) State what type of diagram Hui could draw, based on the output from the spreadsheet, to investigate this.
    (B) Explain how she should interpret the diagram.
  5. (A) Calculate an approximate value of \(\mathrm { P } \left( X _ { 1 } + X _ { 2 } + X _ { 3 } + \ldots + X _ { 10 } > 40 \right)\) using the Central Limit Theorem.
    (B) Comment on how this value compares with your estimate of \(\mathrm { P } ( H > 40 )\) in part (v). \section*{Copyright Information:} OCR is committed to seeking permission to reproduce all third-party content that it uses in the assessment materials. OCR has attempted to identify and contact all copyright holders whose work is used in this paper. To avoid the issue of disclosure of answer-related information to candidates, all copyright acknowledgements are reproduced in the OCR Copyright Acknowledgements booklet. This is produced for each series of examinations and is freely available to download from our public website (\href{http://www.ocr.org.uk}{www.ocr.org.uk}) after the live examination series. If OCR has unwittingly failed to correctly acknowledge or clear any third-party content in this assessment material, OCR will be happy to correct its mistake at the earliest possible opportunity.
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    OCR is part of the Cambridge Assessment Group; Cambridge Assessment is the brand name of University of Cambridge Local Examinations Syndicate (UCLES), which is itself a department of the University of Cambridge.
WJEC Unit 2 Specimen Q1
6 marks Easy -1.2
  1. The events \(\mathrm { A } , B\) are such that \(P ( A ) = 0.2 , P ( B ) = 0.3\). Determine the value of \(P ( A \cup B )\) when
    1. \(A , B\) are mutually exclusive,
    2. \(A , B\) are independent,
    3. \(\quad A \subset B\).
    4. Dewi, a candidate in an election, believes that \(45 \%\) of the electorate intend to vote for him. His agent, however, believes that the support for him is less than this. Given that \(p\) denotes the proportion of the electorate intending to vote for Dewi,
    5. state hypotheses to be used to resolve this difference of opinion.
    They decide to question a random sample of 60 electors. They define the critical region to be \(X \leq 20\), where \(X\) denotes the number in the sample intending to vote for Dewi.
    1. Determine the significance level of this critical region.
    2. If in fact \(p\) is actually 0.35 , calculate the probability of a Type II error.
    3. Explain in context the meaning of a Type II error.
    4. Explain briefly why this test is unsatisfactory. How could it be improved while keeping approximately the same significance level?
WJEC Unit 2 Specimen Q3
7 marks Moderate -0.3
3. Cars arrive at random at a toll bridge at a mean rate of 15 per hour.
  1. Explain briefly why the Poisson distribution could be used to model the number of cars arriving in a particular time interval.
  2. Phil stands at the bridge for 20 minutes. Determine the probability that he sees exactly 6 cars arrive.
  3. Using the statistical tables provided, find the time interval (in minutes) for which the probability of more than 10 cars arriving is approximately 0.3 .
WJEC Unit 2 Specimen Q4
7 marks Easy -1.8
4. A researcher wishes to investigate the relationship between the amount of carbohydrate and the number of calories in different fruits. He compiles a list of 90 different fruits, e.g. apricots, kiwi fruits, raspberries. As he does not have enough time to collect data for each of the 90 different fruits, he decides to select a simple random sample of 14 different fruits from the list. For each fruit selected, he then uses a dieting website to find the number of calories (kcal) and the amount of carbohydrate (g) in a typical adult portion (e.g. a whole apple, a bunch of 10 grapes, half a cup of strawberries). He enters these data into a spreadsheet for analysis.
  1. Explain how the random number function on a calculator could be used to select this sample of 14 different fruits.
  2. The scatter graph represents 'Number of calories' against 'Carbohydrate' for the sample of 14 different fruits.
    1. Describe the correlation between 'Number of calories' and 'Carbohydrate'.
    2. Interpret the correlation between 'Number of calories' and 'Carbohydrate' in this context.
      \includegraphics[max width=\textwidth, alt={}, center]{dfe44f43-5e4d-4b8b-a581-f7889abc5cda-3_810_1154_1315_539}
  3. The equation of the regression line for this dataset is: $$\text { 'Number of calories' } = 12.4 + 2.9 \times \text { 'Carbohydrate' }$$
    1. Interpret the gradient of the regression line in this context.
    2. Explain why it is reasonable for the regression line to have a non-zero intercept in this context.
WJEC Unit 2 Specimen Q5
12 marks Easy -1.2
5. Gareth has a keen interest in pop music. He recently read the following claim in a music magazine. \section*{In the pop industry most songs on the radio are not longer than three minutes.}
  1. He decided to investigate this claim by recording the lengths of the top 50 singles in the UK Official Singles Chart for the week beginning 17 June 2016. (A 'single' in this context is one digital audio track.) Comment on the suitability of this sample to investigate the magazine's claim.
  2. Gareth recorded the data in the table below.
    Length of singles for top 50 UK Official Chart singles, 17 June 2016
    2.5-(3.0)3.0-(3.5)3.5-(4.0)4.0-(4.5)4.5-(5.0)5.0-(5.5)5.5-(6.0)6.0-(6.5)6.5-(7.0)7.0-(7.5)
    317227000001
    He used these data to produce a graph of the distributions of the lengths of singles
    \includegraphics[max width=\textwidth, alt={}, center]{dfe44f43-5e4d-4b8b-a581-f7889abc5cda-4_860_1435_1343_379} State two corrections that Gareth needs to make to the histogram so that it accurately represents the data in the table.
  3. Gareth also produced a box plot of the lengths of singles. \begin{figure}[h]
    \captionsetup{labelformat=empty} \caption{Length of single for top 50 UK Official Singles Chart 17 June 2016} \includegraphics[alt={},max width=\textwidth]{dfe44f43-5e4d-4b8b-a581-f7889abc5cda-5_504_812_406_644}
    \end{figure} He sees that there is one obvious outlier.
    1. What will happen to the mean if the outlier is removed?
    2. What will happen to the standard deviation if the outlier is removed?
  4. Gareth decided to remove the outlier. He then produced a table of summary statistics.
    1. Use the appropriate statistics from the table to show, by calculation, that the maximum value for the length of a single is not an outlier.
      Summary statistics Length of single for top 50 UK Official Singles Chart (minutes)
      \multirow{2}{*}{Length of single}NMeanStandard deviationMinimumLower quartileMedianUpper quartileMaximum
      493.570.3932.773.263.603.894.38
    2. State, with a reason, whether these statistics support the magazine's claim.
  5. Gareth also calculated summary statistics for the lengths of 30 singles selected at random from his personal collection.
    Summary statistics Length of single for Gareth's random sample of 30 singles (minutes)
    \multirow{2}{*}{Length of single}NMeanStandard deviationMinimumLower quartileMedianUpper quartileMaximum
    303.130.3642.582.732.923.223.95
    Compare and contrast the distribution of lengths of singles in Gareth's personal collection with the distribution in the top 50 UK Official Singles Chart.
WJEC Unit 2 Specimen Q6
7 marks Moderate -0.8
  1. A small object, of mass 0.02 kg , is dropped from rest from the top of a building which is 160 m high.
    1. Calculate the speed of the object as it hits the ground.
    2. Determine the time taken for the object to reach the ground.
    3. State one assumption you have made in your solution.
    4. The diagram below shows two particles \(A\) and \(B\), of mass 2 kg and 5 kg respectively, which are connected by a light inextensible string passing over a fixed smooth pulley. Initially, \(B\) is held at rest with the string just taut. It is then released.
      \includegraphics[max width=\textwidth, alt={}, center]{dfe44f43-5e4d-4b8b-a581-f7889abc5cda-6_515_238_1023_868}
    5. Calculate the magnitude of the acceleration of \(A\) and the tension in the string.
    6. What assumption does the word 'light' in the description of the string enable you to make in your solution?
    7. A particle \(P\), of mass 3 kg , moves along the horizontal \(x\)-axis under the action of a resultant force \(F \mathrm {~N}\). Its velocity \(v \mathrm {~ms} ^ { - 1 }\) at time \(t\) seconds is given by
    $$v = 12 t - 3 t ^ { 2 }$$
  2. Given that the particle is at the origin \(O\) when \(t = 1\), find an expression for the displacement of the particle from \(O\) at time \(t \mathrm {~s}\).
  3. Find an expression for the acceleration of the particle at time \(t \mathrm {~s}\).
WJEC Unit 2 Specimen Q9
8 marks Standard +0.3
9. A truck of mass 180 kg runs on smooth horizontal rails. A light inextensible rope is attached to the front of the truck. The rope runs parallel to the rails until it passes over a light smooth pulley. The rest of the rope hangs down a vertical shaft. When the truck is required to move, a load of \(M \mathrm {~kg}\) is attached to the end of the rope in the shaft and the brakes are then released.
  1. Find the tension in the rope when the truck and the load move with an acceleration of magnitude \(0.8 \mathrm {~ms} ^ { - 2 }\) and calculate the corresponding value of \(M\).
  2. In addition to the assumptions given in the question, write down one further assumption that you have made in your solution to this problem and explain how that assumption affects both of your answers.
WJEC Unit 2 Specimen Q10
7 marks Moderate -0.8
10. Two forces \(\mathbf { F }\) and \(\mathbf { G }\) acting on an object are such that $$\begin{aligned} & \mathbf { F } = \mathbf { i } - 8 \mathbf { j } \\ & \mathbf { G } = 3 \mathbf { i } + 11 \mathbf { j } \end{aligned}$$ The object has a mass of 3 kg . Calculate the magnitude and direction of the acceleration of the object.
WJEC Unit 3 2019 June Q1
7 marks Standard +0.3
\(\mathbf { 1 }\) & \(\mathbf { 0 }\)
\hline \end{tabular} \end{center} a) Differentiate each of the following functions with respect to \(x\). i) \(x ^ { 5 } \ln x\)
ii) \(\frac { \mathrm { e } ^ { 3 x } } { x ^ { 3 } - 1 }\)
iii) \(( \tan x + 7 x ) ^ { \frac { 1 } { 2 } }\)
b) A function is defined implicitly by $$3 y + 4 x y ^ { 2 } - 5 x ^ { 3 } = 8$$ Find \(\frac { \mathrm { d } y } { \mathrm {~d} x }\) in terms of \(x\) and \(y\).

1
The function \(f ( x )\) is defined by $$f ( x ) = \frac { \sqrt { x ^ { 2 } - 1 } } { x }$$ with domain \(x \geqslant 1\).
a) Find an expression for \(f ^ { - 1 } ( x )\). State the domain for \(f ^ { - 1 }\) and sketch both \(f ( x )\) and \(f ^ { - 1 } ( x )\) on the same diagram.
b) Explain why the function \(f f ( x )\) cannot be formed.

1
A chord \(A B\) subtends an angle \(\theta\) radians at the centre of a circle. The chord divides the circle into two segments whose areas are in the ratio \(1 : 2\).
\includegraphics[max width=\textwidth, alt={}, center]{966abb82-ade0-4ca8-87a4-26e806d5add7-5_572_576_1197_749}
a) Show that \(\sin \theta = \theta - \frac { 2 \pi } { 3 }\).
b) i) Show that \(\theta\) lies between \(2 \cdot 6\) and \(2 \cdot 7\).
ii) Starting with \(\theta _ { 0 } = 2 \cdot 6\), use the Newton-Raphson Method to find the value of \(\theta\) correct to three decimal places.
WJEC Unit 4 Specimen Q1
6 marks Moderate -0.3
  1. It is known that \(4 \%\) of a population suffer from a certain disease. When a diagnostic test is applied to a person with the disease, it gives a positive response with probability 0.98 . When the test is applied to a person who does not have the disease, it gives a positive response with probability 0.01 .
    1. Using a tree diagram, or otherwise, show that the probability of a person who does not have the disease giving a negative response is 0.9504 .
    The test is applied to a randomly selected member of the population.
  2. Find the probability that a positive response is obtained.
  3. Given that a positive response is obtained, find the probability that the person has the disease.
WJEC Unit 4 Specimen Q2
9 marks Challenging +1.2
2. Mary and Jeff are archers and one morning they play the following game. They shoot an arrow at a target alternately, starting with Mary. The winner is the first to hit the target. You may assume that, with each shot, Mary has a probability 0.25 of hitting the target and Jeff has a probability \(p\) of hitting the target. Successive shots are independent.
  1. Determine the probability that Jeff wins the game
    i) with his first shot,
    ii) with his second shot.
  2. Show that the probability that Jeff wins the game is $$\frac { 3 p } { 1 + 3 p }$$
  3. Find the range of values of \(p\) for which Mary is more likely to win the game than Jeff.
WJEC Unit 4 Specimen Q3
7 marks Standard +0.8
3. A string of length 60 cm is cut a random point.
  1. Name a distribution, including parameters, that can be used to model the length of the longer piece of string and find its mean and variance.
  2. The longer string is shaped to form the perimeter of a circle. Find the probability that the area of the circle is greater than \(100 \mathrm {~cm} ^ { 2 }\).
WJEC Unit 4 Specimen Q4
11 marks Moderate -0.3
4. Automatic coin counting machines sort, count and batch coins. A particular brand of these machines rejects \(2 p\) coins that are less than 6.12 grams or greater than 8.12 grams.
  1. The histogram represents the distribution of the weight of UK 2p coins supplied by the Royal Mint. This distribution has mean 7.12 grams and standard deviation 0.357 grams. \begin{figure}[h]
    \captionsetup{labelformat=empty} \caption{Weight of UK two pence coins} \includegraphics[alt={},max width=\textwidth]{b35e94ab-a426-4fca-9ecb-c659e0143ed7-3_602_969_664_589}
    \end{figure} Explain why the weight of 2 p coins can be modelled using a normal distribution.
  2. Assume the distribution of the weight of \(2 p\) coins is normally distributed. Calculate the proportion of \(2 p\) coins that are rejected by this brand of coin counting machine.
  3. A manager suspects that a large batch of \(2 p\) coins is counterfeit. A random sample of 30 of the suspect coins is selected. Each of the coins in the sample is weighed. The results are shown in the summary statistics table.
    Summary statistics
    Mean
    Standard
    deviation
    Minimum
    Lower
    quartile
    Median
    Upper
    quartile
    Maximum
    6.890.2966.456.636.887.087.48
    i) What assumption must be made about the weights of coins in this batch in order to conduct a test of significance on the sample mean? State, with a reason, whether you think this assumption is reasonable.
    ii) Assuming the population standard deviation is 0.357 grams, test at the \(1 \%\) significance level whether the mean weight of the \(2 p\) coins in this batch is less than 7.12 grams.
WJEC Unit 4 Specimen Q5
7 marks Moderate -0.3
5. A hotel owner in Cardiff is interested in what factors hotel guests think are important when staying at a hotel. From a hotel booking website he collects the ratings for 'Cleanliness', 'Location', 'Comfort' and 'Value for money' for a random sample of 17 Cardiff hotels.
(Each rating is the average of all scores awarded by guests who have contributed reviews using a scale from 1 to 10 , where 10 is 'Excellent'.) The scatter graph shows the relationship between 'Value for money' and 'Cleanliness' for the sample of Cardiff hotels.
\includegraphics[max width=\textwidth, alt={}, center]{b35e94ab-a426-4fca-9ecb-c659e0143ed7-4_693_1033_749_516}
  1. The product moment correlation coefficient for 'Value for money' and 'Cleanliness' for the sample of 17 Cardiff hotels is 0.895 . Stating your hypotheses clearly, test, at the \(5 \%\) level of significance, whether this correlation is significant. State your conclusion in context.
  2. The hotel owner also wishes to investigate whether 'Value for money' has a significant correlation with 'Cost per night'. He used a statistical analysis package which provided the following output which includes the Pearson correlation coefficient of interest and the corresponding \(p\)-value.
    Value for moneyCost per night
    Value for money1
    Cost per night
    0.047
    \(( 0.859 )\)
    1
    Comment on the correlation between 'Value for money' and 'Cost per night'.
WJEC Unit 4 Specimen Q6
8 marks Moderate -0.3
  1. An object of mass 4 kg is moving on a horizontal plane under the action of a constant force \(4 \mathbf { i } - 12 \mathbf { j } \mathrm {~N}\). At time \(t = 0 \mathrm {~s}\), its position vector is \(7 \mathbf { i } - 26 \mathbf { j }\) with respect to the origin \(O\) and its velocity vector is \(- \mathbf { i } + 4 \mathbf { j }\).
    1. Determine the velocity vector of the object at time \(t = 5 \mathrm {~s}\).
    2. Calculate the distance of the object from the origin when \(t = 2 \mathrm {~s}\).
    3. The diagram below shows an object of weight 160 N at a point \(C\), supported by two cables \(A C\) and \(B C\) inclined at angles of \(23 ^ { \circ }\) and \(40 ^ { \circ }\) to the horizontal respectively.
      \includegraphics[max width=\textwidth, alt={}, center]{b35e94ab-a426-4fca-9ecb-c659e0143ed7-5_444_919_973_612}
    4. Find the tension in \(A C\) and the tension in \(B C\).
    5. State two modelling assumptions you have made in your solution.
    6. The rate of change of a population of a colony of bacteria is proportional to the size of the population \(P\), with constant of proportionality \(k\). At time \(t = 0\) (hours), the size of the population is 10 .
    7. Find an expression, in terms of \(k\), for \(P\) at time \(t\).
    8. Given that the population doubles after 1 hour, find the time required for the population to reach 1 million.
    9. A particle of mass 12 kg lies on a rough horizontal surface. The coefficient of friction between the particle and the surface is 0.8 . The particle is at rest. It is then subjected to a horizontal tractive force of magnitude 75 N .
      Determine the magnitude of the frictional force acting on the particle, giving a reason for your answer.
    10. A body is projected at time \(t = 0 \mathrm {~s}\) from a point \(O\) with speed \(V \mathrm {~ms} ^ { - 1 }\) in a direction inclined at an angle of \(\theta\) to the horizontal.
    11. Write down expressions for the horizontal and vertical components \(x \mathrm {~m}\) and \(y \mathrm {~m}\) of its displacement from \(O\) at time \(t \mathrm {~s}\).
    12. Show that the range \(R \mathrm {~m}\) on a horizontal plane through the point of projection is given by
    $$R = \frac { V ^ { 2 } } { g } \sin 2 \theta$$
  2. Given that the maximum range is 392 m , find, correct to one decimal place,
    i) the speed of projection,
    ii) the time of flight,
    iii) the maximum height attained.
WJEC Further Unit 5 2022 June Q1
5 marks Moderate -0.5
  1. Rachel records the times taken, in minutes, to cycle into town from her house on a random sample of 10 days. Her results are shown below.
$$\begin{array} { l l l l l l l l l l } 15 \cdot 5 & 14 \cdot 9 & 16 \cdot 2 & 17 \cdot 3 & 14 \cdot 8 & 14 \cdot 2 & 16 \cdot 0 & 14 \cdot 2 & 15 \cdot 5 & 15 \cdot 1 \end{array}$$ Assuming that these data come from a normal distribution with mean \(\mu\) and variance \(0 \cdot 9\), calculate a \(90 \%\) confidence interval for \(\mu\).
WJEC Further Unit 5 2022 June Q2
15 marks Challenging +1.2
2. Geraint is a beekeeper. The amounts of honey, \(X \mathrm {~kg}\), that he collects annually, from each hive are modelled by the normal distribution \(\mathrm { N } \left( 15,5 ^ { 2 } \right)\). At location \(A\), Geraint has three hives and at location \(B\) he has five hives. You may assume that the amounts of honey collected from the eight hives are independent of each other.
    1. Find the probability that Geraint collects more than 14 kg of honey from the first hive at location \(A\).
    2. Find the probability that he collects more than 14 kg of honey from exactly two out of the three hives at location \(A\).
  1. Find the probability that the total amount of honey that Geraint collects from all eight hives is more than 160 kg .
  2. Find the probability that Geraint collects at least twice as much honey from location B as from location A.
WJEC Further Unit 5 2022 June Q3
8 marks Standard +0.3
3. A statistics teacher wants to investigate whether students from the north of a county and students from the south of the same county feel similarly stressed about examinations. The teacher carries out a psychometric test on 10 randomly selected students to give a score between 0 (low stress) and 100 (high stress) to measure their stress levels before a set of examinations. The results are shown in the table below.
StudentAreaStress Level
HeleddNorth67
MairNorth55
HywelSouth26
GwynSouth70
LiamSouth36
MarcinSouth57
GosiaSouth32
KestutasNorth64
EricaNorth60
TomosNorth22
  1. State one reason why a Mann-Whitney test is appropriate.
  2. Conduct a Mann-Whitney test at a significance level as close to \(5 \%\) as possible. State your conclusion clearly.
  3. How could this investigation be improved?
WJEC Further Unit 5 2022 June Q4
12 marks Standard +0.3
4. The Department of Health recommends that adults aged 18 to 65 should take part in at least 150 minutes of aerobic exercise per week. The results of a survey show that 940 out of 2000 randomly selected adults aged 18 to 65 in Wales take part in at least 150 minutes of aerobic exercise per week.
  1. Calculate an approximate \(95 \%\) confidence interval for the proportion of adults aged 18 to 65 in Wales who take part in at least 150 minutes of aerobic exercise per week.
  2. Give two reasons why the interval is approximate.
  3. Suppose that a \(99 \%\) confidence interval is required, and that the width of the interval is to be no greater than \(0 \cdot 04\). Estimate the minimum additional number of adults to be surveyed to satisfy this requirement.
WJEC Further Unit 5 2022 June Q5
13 marks Standard +0.3
5. A laboratory carrying out screening for a certain blood disorder claims that the average time taken for test results to be returned is 38 hours. A reporter for a national newspaper suspects that the results take longer, on average, to be returned than claimed by the laboratory. The reporter finds the time, \(x\) hours, for 50 randomly selected results, in order to conduct a hypothesis test. The following summary statistics were obtained. $$\sum x = 2163 \quad \sum x ^ { 2 } = 98508$$
  1. Calculate the \(p\)-value for the reporter's hypothesis test, and complete the test using a \(5 \%\) level of significance. Hence write a headline for the reporter to use.
  2. Explain the relevance or otherwise of the Central Limit Theorem to your answer in part (a).
  3. Briefly explain why a random sample is preferable to taking a batch of 50 consecutive results.
  4. On another occasion, the reporter took a different random sample of 10 results.
    1. State, with a reason, what type of hypothesis test the reporter should use on this occasion.
    2. State one assumption required to carry out this test.
WJEC Further Unit 5 2022 June Q6
8 marks Standard +0.8
6. A zoologist knows that the median body length of adults in a species of fire-bellied toads is 4.2 cm . The zoologist thinks he has discovered a new subspecies of fire-bellied toads. If there is sufficient evidence to suggest the median body length differs from 4.2 cm , he will continue his studies to confirm whether he has discovered a new subspecies. Otherwise, he will abandon his studies on fire-bellied toads. The lengths of 10 randomly selected adult toads from the group being investigated are given below. $$\begin{array} { l l l l l l l l l l } 5 \cdot 0 & 3 \cdot 2 & 4 \cdot 9 & 4 \cdot 0 & 3 \cdot 3 & 4 \cdot 2 & 6 \cdot 1 & 4 \cdot 3 & 4 \cdot 8 & 5 \cdot 9 \end{array}$$ Carry out a suitable Wilcoxon signed rank test at a significance level as close to \(1 \%\) as possible and give your conclusion in context.
WJEC Further Unit 5 2022 June Q7
19 marks Challenging +1.2
7.
\includegraphics[max width=\textwidth, alt={}, center]{65369843-222f-48b2-b8cd-a1c304eac3d9-6_707_718_347_660} The diagram above shows a cyclic quadrilateral \(A B C D\), where \(\widehat { B A D } = \alpha , \widehat { B C D } = \beta\) and \(\alpha + \beta = 180 ^ { \circ }\). These angles are measured.
The random variables \(X\) and \(Y\) denote the measured values, in degrees, of \(\widehat { B A D }\) and \(\widehat { B C D }\) respectively. You are given that \(X\) and \(Y\) are independently normally distributed with standard deviation \(\sigma\) and means \(\alpha\) and \(\beta\) respectively.
  1. Calculate, correct to two decimal places, the probability that \(X + Y\) will differ from \(180 ^ { \circ }\) by less than \(\sigma\).
  2. Show that \(T _ { 1 } = 45 ^ { \circ } + \frac { 1 } { 4 } ( 3 X - Y )\) is an unbiased estimator for \(\alpha\) and verify that it is a better estimator than \(X\) for \(\alpha\).
  3. Now consider \(T _ { 2 } = \lambda X + ( 1 - \lambda ) \left( 180 ^ { \circ } - Y \right)\).
    1. Show that \(T _ { 2 }\) is an unbiased estimator for \(\alpha\) for all values of \(\lambda\).
    2. Find \(\operatorname { Var } \left( T _ { 2 } \right)\) in terms of \(\lambda\) and \(\sigma\).
    3. Hence determine the value of \(\lambda\) which gives the best unbiased estimator for \(\alpha\).
OCR FM1 AS 2021 June Q2
11 marks Standard +0.8
2
\includegraphics[max width=\textwidth, alt={}, center]{60f72141-4a99-4907-93b1-adb0cd66948e-2_211_1276_1427_365} 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 \(4.0 \mathrm {~ms} ^ { - 1 }\) towards \(B\).
a) Show that immediately after the collision between \(A\) and \(B\) the speed of \(B\) is \(2.8 \mathrm {~m} \mathrm {~s} ^ { - 1 }\).
b) Find the velocity of \(A\) immediately after this collision.
\(B\) subsequently collides with \(C\).
c) Find, in terms of \(m\), the velocity of \(B\) after its collision with \(C\).
d) Given that the direction of motion of \(B\) is reversed by the collision with \(C\), find the range of possible values of \(m\). 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.
(b) 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 \(0.57 \mathrm {~m} \mathrm {~s} ^ { - 2 }\).
(c) (i) Find the power of the engine of the car at this instant.
(ii) 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 \(10 \mathrm {~ms} ^ { - 1 }\). 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.
(d) Without carrying out any further calculations,
(i) explain whether the time taken to attain a speed of \(20 \mathrm {~m} ^ { - 1 }\) would be predicted to be lower, the same or higher using the refined model compared with the original model,
(ii) 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. \section*{Total Marks for Question Set 1: 31} \section*{Mark scheme} \section*{Marking Instructions} a An element of professional judgement is required in the marking of any written paper. Remember that the mark scheme is designed to assist in marking incorrect solutions. Correct solutions leading to correct answers are awarded full marks but work must not always be judged on the answer alone, and answers that are given in the question, especially, must be validly obtained; key steps in the working must always be looked at and anything unfamiliar must be investigated thoroughly. Correct but unfamiliar or unexpected methods are often signalled by a correct result following an apparently incorrect method. Such work must be carefully assessed.
b The following types of marks are available. \section*{M} A suitable method has been selected and applied in a manner which shows that the method is essentially understood. Method marks are not usually lost for numerical errors, algebraic slips or errors in units. However, it is not usually sufficient for a candidate just to indicate an intention of using some method or just to quote a formula; the formula or idea must be applied to the specific problem in hand, e.g. by substituting the relevant quantities into the formula. In some cases the nature of the errors allowed for the award of an M mark may be specified.
A method mark may usually be implied by a correct answer unless the question includes the DR statement, the command words "Determine" or "Show that", or some other indication that the method must be given explicitly. \section*{A} Accuracy mark, awarded for a correct answer or intermediate step correctly obtained. Accuracy marks cannot be given unless the associated Method mark is earned (or implied). Therefore M0 A1 cannot ever be awarded. \section*{B} Mark for a correct result or statement independent of Method marks. \section*{E} A given result is to be established or a result has to be explained. This usually requires more working or explanation than the establishment of an unknown result. Unless otherwise indicated, marks once gained cannot subsequently be lost, e.g. wrong working following a correct form of answer is ignored. Sometimes this is reinforced in the mark scheme by the abbreviation isw. However, this would not apply to a case where a candidate passes through the correct answer as part of a wrong argument.
c When a part of a question has two or more 'method' steps, the M marks are in principle independent unless the scheme specifically says otherwise; and similarly where there are several B marks allocated. (The notation 'dep*' is used to indicate that a particular mark is dependent on an earlier, asterisked, mark in the scheme.) Of course, in practice it may happen that when a candidate has once gone wrong in a part of a question, the work from there on is worthless so that no more marks can sensibly be given. On the other hand, when two or more steps are successfully run together by the candidate, the earlier marks are implied and full credit must be given.
d The abbreviation FT implies that the A or B mark indicated is allowed for work correctly following on from previously incorrect results. Otherwise, A and B marks are given for correct work only - differences in notation are of course permitted. A (accuracy) marks are not given for answers obtained from incorrect working. When A or B marks are awarded for work at an intermediate stage of a solution, there may be various alternatives that are equally acceptable. In such cases, what is acceptable will be detailed in the mark scheme. Sometimes the answer to one part of a question is used in a later part of the same question. In this case, A marks will often be 'follow through'.
e We are usually quite flexible about the accuracy to which the final answer is expressed; over-specification is usually only penalised where the scheme explicitly says so.
  • When a value is given in the paper only accept an answer correct to at least as many significant figures as the given value.
  • When a value is not given in the paper accept any answer that agrees with the correct value to \(\mathbf { 3 ~ s } . \mathbf { f }\). unless a different level of accuracy has been asked for in the question, or the mark scheme specifies an acceptable range.
Follow through should be used so that only one mark in any question is lost for each distinct accuracy error.
Candidates using a value of \(9.80,9.81\) or 10 for \(g\) should usually be penalised for any final accuracy marks which do not agree to the value found with 9.8 which is given in the rubric.
f Rules for replaced work and multiple attempts:
  • If one attempt is clearly indicated as the one to mark, or only one is left uncrossed out, then mark that attempt and ignore the others.
  • If more than one attempt is left not crossed out, then mark the last attempt unless it only repeats part of the first attempt or is substantially less complete.
  • if a candidate crosses out all of their attempts, the assessor should attempt to mark the crossed out answer(s) as above and award marks appropriately.
For a genuine misreading (of numbers or symbols) which is such that the object and the difficulty of the question remain unaltered, mark according to the scheme but following through from the candidate's data. A penalty is then applied; 1 mark is generally appropriate, though this may differ for some units. This is achieved by withholding one A or B mark in the question. Marks designated as cao may be awarded as long as there are no other errors.
If a candidate corrects the misread in a later part, do not continue to follow through. Note that a miscopy of the candidate's own working is not a misread but an accuracy error.
h If a calculator is used, some answers may be obtained with little or no working visible. Allow full marks for correct answers, provided that there is nothing in the wording of the question specifying that analytical methods are required such as the bold "In this question you must show detailed reasoning", or the command words "Show" or "Determine". Where an answer is wrong but there is some evidence of method, allow appropriate method marks. Wrong answers with no supporting method score zero. \begin{table}[h]
\captionsetup{labelformat=empty} \caption{Abbreviations}
Abbreviations used in the mark schemeMeaning
dep*Mark dependent on a previous mark, indicated by *. The * may be omitted if only one previous M mark
caoCorrect answer only
оеOr equivalent
rotRounded or truncated
soiSeen or implied
wwwWithout wrong working
AGAnswer given
awrtAnything which rounds to
BCBy Calculator
DRThis question included the instruction: In this question you must show detailed reasoning.
\end{table}
QuestionAnswerMarksAOsGuidance
1(a)
\(\mathrm { KE } = 1 / 2 \times m \times 1.2 ^ { 2 } ( = 0.72 m )\)
PE difference \(= m g \times 3.2 \left( 1 - \cos 15 ^ { \circ } \right) ( = 1.0685 \ldots m ) 1 / 2 \times m \times v ^ { 2 } = m g \times 3.2 \left( 1 - \cos 15 ^ { \circ } \right) + 0.72 m\)
1.89
B1 M1 M1
A1 [4]
1.1a 3.3 3.4
1.1
Conservation of energy (in 3 terms) (condone if \(m\) cancelled)
(b)
\(m g \times 3.2 ( 1 - \cos \theta ) = 1.7885 \ldots m\)
\(\theta = 19.4\)
M1
A1
[2]
2.2a
1.1
Conservation of energy with \(v = 0\) (condone if \(m\) cancelled) Allow 19.5 from correct workingTheir non-zero \(\frac { 1 } { 2 } m u ^ { 2 }\)
2(a)
\(\begin{aligned}1.2 \times 4 = 1.2 v _ { A } + 1.8 v _ { B }
\frac { v _ { B } - v _ { A } } { 4 } = \frac { 3 } { 4 } \end{aligned}\)
Attempt to solve for \(v _ { A }\) and \(v _ { B }\) \(v _ { B } = 2.8\)
M1* M1*
M1dep A1 (AG) [4]
1.1a 1.1a
1.1 2.2a
Conservation of momentum
Restitution Allow sign error
Allow one minor slip, e.g. transpose masses
(b)\(v _ { A } = - 0.2\)B1 [1]1.10.2 in opposite directionAllow "away from B"
(c)
\(\begin{aligned}1.8 \times 2.8 = 1.8 V _ { B } + m V _ { C }
\frac { V _ { C } - V _ { B } } { 2.8 } = \frac { 3 } { 4 } \end{aligned}\)
Attempt to solve for \(V _ { B }\) in terms of \(m\) \(V _ { B } = \frac { 5.04 - 2.1 m } { 1.8 + m } \mathrm { oe }\)
M1*
M1*
M1dep
A1
[4]
1.1a
1.1a
1.1
1.1
Conservation of momentum Restitution Allow sign error
\(V _ { C }\) must be eliminated \(\frac { 8.82 } { 1.8 + m } - 2.1\)
Allow 1 minor slip NB \(\mathrm { v } _ { \mathrm { C } } > \mathrm { v } _ { \mathrm { B } }\) \(\frac { 25.2 - 10.5 m } { 5 m + 9 }\)
(d)
Direction reversed ⇒ \(V _ { B } < 0\)
\(m > 2.4\)
M1
A1
[2]
3.1b
1.1
Seen or implied by eg \(\frac { 5.04 - 2.1 m } { 1.8 + m } < 0\)
Must be from an inequality
If \(\mathrm { V } _ { \mathrm { c } }\) found in error, \(\mathrm { V } _ { \mathrm { c } } <\) 2.1 or \(\frac { 8.82 } { 1.8 + m } < 2.1\)
QuestionAnswerMarksAOsGuidance
3(a)
\(R _ { \mathrm { C } } = 40000 / 42\)
952 N
M1
A1
[2]
3.3
1.1
(b)
\(R _ { \mathrm { T } } = 40000 / 30 - R _ { \mathrm { C } }\)
381 N
M1ft
A1
[2]
3.4
1.1
(c)(i)
\(D - R _ { \mathrm { C } } - R _ { \mathrm { T } } = 1400 \times 0.57\) \(P = D \times 15\)
32000 or 32 kW
M1*
A1
M1dep
A1
[4]
3.3
1.1
3.4
1.1
Attempt at " \(F = m a\) " for whole system (4 term equation)
Allow \(1333.3 \ldots\) instead of \(\mathrm { R } _ { \mathrm { C } } + \mathrm { R } _ { \mathrm { T } }\) Correct equation (unsimplified)
NB 31970W
or \(D - R _ { \mathrm { C } } - T = 1200 \times 0.57\) (" \(F = m a\) " for car)
(c)(ii)
\(T - R _ { \mathrm { T } } = 200 \times 0.57\)
495
M1FT
A1
[2]
1.1a
1.1
" \(F = m a\) " for trailerSolution could use " \(F = m a\) " for car. Could be seen in (iii)(a).
(d)(i)
new model will predict a lower time to achieve a speed of \(20 \mathrm {~ms} ^ { - 1 }\).
Because at low speeds new model has no resistance and so acceleration will be greater
B1
E1
[2]
3.5a
3.5a
Resistance and acceleration must be mentioned or impliedAllow e.g. "no resistance means reaching \(10 \mathrm {~m} / \mathrm { s }\) would occur faster"
(d)(ii)
New model predicts the same
Greatest speed depends only on (final) resistance (and power)
E1
B1
[2]
3.5a
3.5a
OCR FM1 AS 2021 June Q2
8 marks Standard +0.3
2 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 FM1 AS 2021 June Q3
10 marks Standard +0.8
3
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]{75f629e7-969d-43ae-8222-031875ae54ae-02_453_696_1571_552}
  1. Find the time taken for the particles to perform a complete revolution.
  2. Find the mass of \(B\). \section*{Total Marks for Question Set 2: 29} \section*{Mark scheme} \section*{Marking Instructions} a An element of professional judgement is required in the marking of any written paper. Remember that the mark scheme is designed to assist in marking incorrect solutions. Correct solutions leading to correct answers are awarded full marks but work must not always be judged on the answer alone, and answers that are given in the question, especially, must be validly obtained; key steps in the working must always be looked at and anything unfamiliar must be investigated thoroughly. Correct but unfamiliar or unexpected methods are often signalled by a correct result following an apparently incorrect method. Such work must be carefully assessed.
    b The following types of marks are available. \section*{M} A suitable method has been selected and applied in a manner which shows that the method is essentially understood. Method marks are not usually lost for numerical errors, algebraic slips or errors in units. However, it is not usually sufficient for a candidate just to indicate an intention of using some method or just to quote a formula; the formula or idea must be applied to the specific problem in hand, e.g. by substituting the relevant quantities into the formula. In some cases the nature of the errors allowed for the award of an M mark may be specified.
    A method mark may usually be implied by a correct answer unless the question includes the DR statement, the command words "Determine" or "Show that", or some other indication that the method must be given explicitly. \section*{A} Accuracy mark, awarded for a correct answer or intermediate step correctly obtained. Accuracy marks cannot be given unless the associated Method mark is earned (or implied). Therefore M0 A1 cannot ever be awarded. \section*{B} Mark for a correct result or statement independent of Method marks. \section*{E} A given result is to be established or a result has to be explained. This usually requires more working or explanation than the establishment of an unknown result. Unless otherwise indicated, marks once gained cannot subsequently be lost, e.g. wrong working following a correct form of answer is ignored. Sometimes this is reinforced in the mark scheme by the abbreviation isw. However, this would not apply to a case where a candidate passes through the correct answer as part of a wrong argument.
    c When a part of a question has two or more 'method' steps, the M marks are in principle independent unless the scheme specifically says otherwise; and similarly where there are several B marks allocated. (The notation 'dep*' is used to indicate that a particular mark is dependent on an earlier, asterisked, mark in the scheme.) Of course, in practice it may happen that when a candidate has once gone wrong in a part of a question, the work from there on is worthless so that no more marks can sensibly be given. On the other hand, when two or more steps are successfully run together by the candidate, the earlier marks are implied and full credit must be given.
    d The abbreviation FT implies that the A or B mark indicated is allowed for work correctly following on from previously incorrect results. Otherwise, A and B marks are given for correct work only - differences in notation are of course permitted. A (accuracy) marks are not given for answers obtained from incorrect working. When A or B marks are awarded for work at an intermediate stage of a solution, there may be various alternatives that are equally acceptable. In such cases, what is acceptable will be detailed in the mark scheme. Sometimes the answer to one part of a question is used in a later part of the same question. In this case, A marks will often be 'follow through'.
    e We are usually quite flexible about the accuracy to which the final answer is expressed; over-specification is usually only penalised where the scheme explicitly says so.
    • When a value is given in the paper only accept an answer correct to at least as many significant figures as the given value.
    • When a value is not given in the paper accept any answer that agrees with the correct value to \(\mathbf { 3 ~ s } . \mathbf { f }\). unless a different level of accuracy has been asked for in the question, or the mark scheme specifies an acceptable range.
    Follow through should be used so that only one mark in any question is lost for each distinct accuracy error.
    Candidates using a value of \(9.80,9.81\) or 10 for \(g\) should usually be penalised for any final accuracy marks which do not agree to the value found with 9.8 which is given in the rubric.
    f Rules for replaced work and multiple attempts:
    • If one attempt is clearly indicated as the one to mark, or only one is left uncrossed out, then mark that attempt and ignore the others.
    • If more than one attempt is left not crossed out, then mark the last attempt unless it only repeats part of the first attempt or is substantially less complete.
    • if a candidate crosses out all of their attempts, the assessor should attempt to mark the crossed out answer(s) as above and award marks appropriately.
    For a genuine misreading (of numbers or symbols) which is such that the object and the difficulty of the question remain unaltered, mark according to the scheme but following through from the candidate's data. A penalty is then applied; 1 mark is generally appropriate, though this may differ for some units. This is achieved by withholding one A or B mark in the question. Marks designated as cao may be awarded as long as there are no other errors.
    If a candidate corrects the misread in a later part, do not continue to follow through. Note that a miscopy of the candidate's own working is not a misread but an accuracy error.
    h If a calculator is used, some answers may be obtained with little or no working visible. Allow full marks for correct answers, provided that there is nothing in the wording of the question specifying that analytical methods are required such as the bold "In this question you must show detailed reasoning", or the command words "Show" or "Determine". Where an answer is wrong but there is some evidence of method, allow appropriate method marks. Wrong answers with no supporting method score zero. \begin{table}[h]
    \captionsetup{labelformat=empty} \caption{Abbreviations}
    Abbreviations used in the mark schemeMeaning
    dep*Mark dependent on a previous mark, indicated by *. The * may be omitted if only one previous M mark
    caoCorrect answer only
    оеOr equivalent
    rotRounded or truncated
    soiSeen or implied
    wwwWithout wrong working
    AGAnswer given
    awrtAnything which rounds to
    BCBy Calculator
    DRThis question included the instruction: In this question you must show detailed reasoning.
    \end{table}
    QuestionAnswerMarksAOsGuidance
    \multirow[t]{8}{*}{2}\multirow[t]{8}{*}{(a)}\(\alpha = \beta\)B12.2asoi - does not need justification\multirow{8}{*}{Allow \(\mathrm { L } = \mathrm { L } ^ { \alpha } \mathrm { T } ^ { - \alpha } \mathrm { T } ^ { \gamma } + \mathrm { L } ^ { \beta } \mathrm { T } ^ { - \beta } \mathrm { T } ^ { \gamma }\) with consistent indices, must be expanded, use BOD}
    \([ \mathrm { u } ] = \mathrm { LT } ^ { - 1 }\) or \([ \mathrm { v } ] = \mathrm { LT } ^ { - 1 }\)B13.3Seen
    \(\mathrm { L } = \mathrm { L } ^ { \alpha } \mathrm { T } ^ { - \alpha } \mathrm { T } ^ { \gamma }\) or \(\mathrm { L } ^ { \alpha } \mathrm { T } ^ { \gamma - \alpha }\)M11.1aNo \(k\)
    Could be \(\beta\)
    \(\alpha = 1\)A11.1or \(\beta = 1\)
    \(\gamma - \alpha = 0\)M13.4
    \(\gamma = 1\) and \(\beta = 1\)A11.1or \(\alpha = 1\) if \(\beta\) found
    [6]
    (b)If \(a = 0\) then \(u = v\) and \(s = 2 k u t . .\). ...but "dist \(=\) speed × time" so \(k = 1 / 2\)M12.1\multirow{3}{*}{Do not accept use of prior knowledge of uvast}
    A12.2aMust include justification
    [2]
    QuestionAnswerMarksAOsGuidance
    3(a)
    \(\begin{aligned}T \cos \theta = m _ { B } g
    T \sin \theta = m _ { B } \times 0.6 \times \omega ^ { 2 }
    \tan \theta = \left( 0.6 \omega ^ { 2 } \right) / g
    \tan \theta = \frac { 3 } { 4 } \mathrm { oe }
    \omega = 3.5
    t = \frac { 2 \pi } { 3.5 } \end{aligned}\)
    Time for one revolution is 1.8 seconds
    \(\begin{aligned}\text { M1* }
    \text { M1* } \end{aligned}\)
    M1dep
    B1 A1
    M1
    3.1b
    3.3
    3.1b
    1.1
    1.1
    1.1
    3.2a
    Balancing vertical forces on \(B\)
    NII for \(B\) with \(r = 0.6\) (could use \(v ^ { 2 }\) / 0.6)
    Combining equations and eliminating \(T\)
    May be implied. Accept \(\theta = 36.9\)
    Their 3.5
    Or \(t = 2 \pi r / v \quad ( v = 2.1 \mathrm {~m} / \mathrm { s } )\)
    (b)
    \(T = 1.2 \times 0.6 \omega ^ { 2 } ( = 8.82 )\)
    \(8.82 \cos \theta = m _ { B } g\) or \(8.82 \sin \theta = m _ { B } \times 0.6 \omega ^ { 2 }\)
    \(m _ { B } = 0.72\)
    M1
    М1
    A1
    [3]
    2.2a
    3.1b
    1.1
    NII for \(A\) and for realising that \(\omega\) is the same for \(A\) and \(B\).
    Substituting their \(T\) into either of their equations of motion for \(B\).
    Could be seen in (a)