Questions — AQA S1 (156 questions)

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AQA S1 2011 June Q7
7
  1. Three airport management trainees, Ryan, Sunil and Tim, were each instructed to select a random sample of 12 suitcases from those waiting to be loaded onto aircraft. Each trainee also had to measure the volume, \(x\), and the weight, \(y\), of each of the 12 suitcases in his sample, and then calculate the value of the product moment correlation coefficient, \(r\), between \(x\) and \(y\).
    • Ryan obtained a value of - 0.843 .
    • Sunil obtained a value of + 0.007 .
    Explain why neither of these two values is likely to be correct.
  2. Peggy, a supervisor with many years' experience, measured the volume, \(x\) cubic feet, and the weight, \(y\) pounds, of each suitcase in a random sample of 6 suitcases, and then obtained a value of 0.612 for \(r\).
    • Ryan and Sunil each claimed that Peggy's value was different from their values because she had measured the volumes in cubic feet and the weights in pounds, whereas they had measured the volumes in cubic metres and the weights in kilograms.
    • Tim claimed that Peggy's value was almost exactly half his calculated value because she had used a sample of size 6 whereas he had used one of size 12 .
    Explain why neither of these two claims is valid.
  3. Quentin, a manager, recorded the volumes, \(v\), and the weights, \(w\), of a random sample of 8 suitcases as follows.
    \(\boldsymbol { v }\)28.119.746.423.631.117.535.813.8
    \(\boldsymbol { w }\)14.912.121.118.019.819.216.214.7
    1. Calculate the value of \(r\) between \(v\) and \(w\).
    2. Interpret your value in the context of this question.
AQA S1 2012 June Q1
1 A production line in a rolling mill produces lengths of steel.
A random sample of 20 lengths of steel from the production line was selected. The minimum width, \(x\) centimetres, and the minimum thickness, \(y\) millimetres, of each selected length was recorded. The following summarised information was then calculated from these records. $$S _ { x x } = 2.030 \quad S _ { y y } = 1.498 \quad S _ { x y } = - 0.410$$
  1. Calculate the value of the product moment correlation coefficient between \(x\) and \(y\).
  2. Interpret your value in the context of the question.
AQA S1 2012 June Q2
2 Katy works as a clerical assistant for a small company. Each morning, she collects the company's post from a secure box in the nearby Royal Mail sorting office. Katy's supervisor asks her to keep a daily record of the number of letters that she collects. Her records for a period of 175 days are summarised in the table.
Daily number of letters (x)Number of days (f)
0-95
10-1916
2023
2127
2231
2334
2416
25-2910
30-345
35-393
40-494
50 or more1
Total175
  1. For these data:
    1. state the modal value;
    2. determine values for the median and the interquartile range.
  2. The most letters that Katy collected on any of the 175 days was 54. Calculate estimates of the mean and the standard deviation of the daily number of letters collected by Katy.
  3. During the same period, a total of 280 letters was also delivered to the company by private courier firms. Calculate an estimate of the mean daily number of all letters received by the company during the 175 days.
AQA S1 2012 June Q3
3 The table shows the maximum weight, \(y _ { A }\) grams, of Salt \(A\) that will dissolve in 100 grams of water at various temperatures, \(x ^ { \circ } \mathrm { C }\).
\(\boldsymbol { x }\)101520253035404550607080
\(\boldsymbol { y } _ { \boldsymbol { A } }\)203548577792101111121137159182
  1. Calculate the equation of the least squares regression line of \(y _ { A }\) on \(x\).
  2. The data in the above table are plotted on the scatter diagram on page 4. Draw your regression line on this scatter diagram.
  3. For water temperatures in the range \(10 ^ { \circ } \mathrm { C }\) to \(80 ^ { \circ } \mathrm { C }\), the maximum weight, \(y _ { B }\) grams, of Salt \(B\) that will dissolve in 100 grams of water is given by the equation $$y _ { B } = 60.1 + 0.255 x$$
    1. Draw this line on the scatter diagram.
    2. Estimate the water temperature at which the maximum weight of Salt \(A\) that will dissolve in 100 grams of water is the same as that of Salt B.
    3. For Salt \(A\) and Salt \(B\), compare the effects of water temperature on the maximum weight that will dissolve in 100 grams of water. Your answer should identify two distinct differences. \section*{Temperatures and Maximum Weights}
      \includegraphics[max width=\textwidth, alt={}]{91466019-8feb-4292-b616-e8e8667e2e54-4_2023_1682_404_173}
AQA S1 2012 June Q4
4 A survey of the 640 properties on an estate was undertaken. Part of the information collected related to the number of bedrooms and the number of toilets in each property. This information is shown in the table.
\multirow{2}{*}{}Number of toilets
1234 or moreTotal
\multirow{5}{*}{Number of bedrooms}146140060
22467230114
37729916194
401912348190
5 or more00117182
Total77172256135640
  1. A property on the estate is selected at random. Find, giving your answer to three decimal places, the probability that the property has:
    1. exactly 3 bedrooms;
    2. at least 2 toilets;
    3. exactly 3 bedrooms and at least 2 toilets;
    4. at most 3 bedrooms, given that it has exactly 2 toilets.
  2. Use relevant answers from part (a) to show that the number of toilets is not independent of the number of bedrooms.
  3. Three properties are selected at random from those on the estate which have exactly 3 bedrooms. Calculate the probability that one property has 2 toilets, one has 3 toilets and the other has at least 4 toilets. Give your answer to three decimal places.
AQA S1 2012 June Q5
5 A general store sells lawn fertiliser in 2.5 kg bags, 5 kg bags and 10 kg bags.
  1. The actual weight, \(W\) kilograms, of fertiliser in a 2.5 kg bag may be modelled by a normal random variable with mean 2.75 and standard deviation 0.15 . Determine the probability that the weight of fertiliser in a 2.5 kg bag is:
    1. less than 2.8 kg ;
    2. more than 2.5 kg .
  2. The actual weight, \(X\) kilograms, of fertiliser in a 5 kg bag may be modelled by a normal random variable with mean 5.25 and standard deviation 0.20 .
    1. Show that \(\mathrm { P } ( 5.1 < X < 5.3 ) = 0.372\), correct to three decimal places.
    2. A random sample of four 5 kg bags is selected. Calculate the probability that none of the four bags contains between 5.1 kg and 5.3 kg of fertiliser.
  3. The actual weight, \(Y\) kilograms, of fertiliser in a 10 kg bag may be modelled by a normal random variable with mean 10.75 and standard deviation 0.50. A random sample of six 10 kg bags is selected. Calculate the probability that the mean weight of fertiliser in the six bags is less than 10.5 kg .
AQA S1 2012 June Q6
6 A bin contains a very large number of paper clips of different colours. The proportion of each colour is shown in the table.
ColourWhiteYellowGreenBlueRedPurple
Proportion0.150.150.200.150.220.13
  1. Packets are filled from the bin. Each filled packet contains exactly 30 paper clips which may be considered to be a random sample. Use binomial distributions to determine the probability that a filled packet contains:
    1. exactly 2 purple paper clips;
    2. a total of more than 10 red or purple paper clips;
    3. at least 5 but at most 10 green paper clips.
  2. Jumbo packets are also filled from the bin. Each filled jumbo packet contains exactly 100 paper clips.
    1. Assuming that the number of paper clips in a jumbo packet may be considered to be a random sample, calculate the mean and the variance of the number of red paper clips in a filled jumbo packet.
    2. It is claimed that the proportion of red paper clips in the bin is greater than 0.22 and that jumbo packets do not contain random samples of paper clips. An analysis of the number of red paper clips in each of a random sample of 50 filled jumbo packets resulted in a mean of 22.1 and a standard deviation of 4.17. Comment, with numerical justification, on each of the two claims.
AQA S1 2012 June Q7
7 The volume of bleach in a 5-litre bottle may be modelled by a random variable with a standard deviation of 75 millilitres. The volume, in litres, of bleach in each of a random sample of 36 such bottles was measured. The 36 measurements resulted in a total volume of 181.80 litres and exactly 8 bottles contained less than 5 litres.
  1. Construct a 98\% confidence interval for the mean volume of bleach in a 5-litre bottle.
  2. It is claimed that the mean volume of bleach in a 5-litre bottle exceeds 5 litres and also that fewer than 10 per cent of such bottles contain less than 5 litres. Comment, with numerical justification, on each of these two claims.
  3. State, with justification, whether you made use of the Central Limit Theorem in constructing the confidence interval in part (a).
AQA S1 2013 June Q1
1 The average maximum monthly temperatures, \(u\) degrees Fahrenheit, and the average minimum monthly temperatures, \(v\) degrees Fahrenheit, in New York City are as follows.
JanFebMarAprMayJunJulAugSepOctNovDec
Maximum (u)394048617181858377675441
Minimum (v)262734445363686660514130
    1. Calculate, to one decimal place, the mean and the standard deviation of the 12 values of the average maximum monthly temperature.
    2. For comparative purposes with a UK city, it was necessary to convert the temperatures from degrees Fahrenheit ( \({ } ^ { \circ } \mathrm { F }\) ) to degrees Celsius ( \({ } ^ { \circ } \mathrm { C }\) ). The formula used to convert \(f ^ { \circ } \mathrm { F }\) to \(c ^ { \circ } \mathrm { C }\) is: $$c = \frac { 5 } { 9 } ( f - 32 )$$ Use this formula and your answers in part (a)(i) to calculate, in \({ } ^ { \circ } \mathbf { C }\), the mean and the standard deviation of the 12 values of the average maximum monthly temperature.
      (3 marks)
  1. The value of the product moment correlation coefficient, \(r _ { u v }\), between the above 12 values of \(u\) and \(v\) is 0.997 , correct to three decimal places. State, giving a reason, the corresponding value of \(r _ { x y }\), where \(x\) and \(y\) are the exact equivalent temperatures in \({ } ^ { \circ } \mathrm { C }\) of \(u\) and \(v\) respectively.
    (2 marks)
AQA S1 2013 June Q2
2 The weight, \(X\) grams, of the contents of a tin of baked beans can be modelled by a normal random variable with a mean of 421 and a standard deviation of 2.5.
  1. Find:
    1. \(\mathrm { P } ( X = 421 )\);
    2. \(\mathrm { P } ( X < 425 )\);
    3. \(\mathrm { P } ( 418 < X < 424 )\).
  2. Determine the value of \(x\) such that \(\mathrm { P } ( X < x ) = 0.98\).
  3. The weight, \(Y\) grams, of the contents of a tin of ravioli can be modelled by a normal random variable with a mean of \(\mu\) and a standard deviation of 3.0 . Find the value of \(\mu\) such that \(\mathrm { P } ( Y < 410 ) = 0.01\).
AQA S1 2013 June Q3
3 An auction house offers items of jewellery for sale at its public auctions. Each item has a reserve price which is less than the lower price estimate which, in turn, is less than the upper price estimate. The outcome for any item is independent of the outcomes for all other items. The auction house has found, from past records, the following probabilities for the outcomes of items of jewellery offered for sale.
AQA S1 2013 June Q4
4 The girth, \(g\) metres, the length, \(l\) metres, and the weight, \(y\) kilograms, of each of a sample of 20 pigs were measured. The data collected is summarised as follows. $$S _ { g g } = 0.1196 \quad S _ { l l } = 0.0436 \quad S _ { y y } = 5880 \quad S _ { g y } = 24.15 \quad S _ { l y } = 10.25$$
  1. Calculate the value of the product moment correlation coefficient between:
    1. girth and weight;
    2. length and weight.
  2. Interpret, in context, each of the values that you obtained in part (a).
  3. Weighing pigs requires expensive equipment, whereas measuring their girths and lengths simply requires a tape measure. With this in mind, the following formula is proposed to make an estimate of a pig's weight, \(x\) kilograms, from its girth and length. $$x = 69.3 \times g ^ { 2 } \times l$$ Applying this formula to the relevant data on the 20 pigs resulted in $$S _ { x x } = 5656.15 \quad S _ { x y } = 5662.97$$
    1. By calculating a third value of the product moment correlation coefficient, state which of \(g , l\) or \(x\) is the most strongly correlated with \(y\), the weight.
    2. Estimate the weight of a pig that has a girth of 1.25 metres and a length of 1.15 metres.
    3. Given the additional information that \(\bar { x } = 115.4\) and \(\bar { y } = 116.0\), calculate the equation of the least squares regression line of \(y\) on \(x\), in the form \(y = a + b x\).
    4. Comment on the likely accuracy of the estimated weight found in part (c)(ii). Your answer should make reference to the value of the product moment correlation coefficient found in part (c)(i) and to the values of \(b\) and \(a\) found in part (c)(iii).
      (4 marks)
AQA S1 2013 June Q5
5 Alison is a member of a tenpin bowling club which meets at a bowling alley on Wednesday and Thursday evenings. The probability that she bowls on a Wednesday evening is 0.90 . Independently, the probability that she bowls on a Thursday evening is 0.95 .
  1. Calculate the probability that, during a particular week, Alison bowls on:
    1. two evenings;
    2. exactly one evening.
  2. David, a friend of Alison, is a member of the same club. The probability that he bowls on a Wednesday evening, given that Alison bowls on that evening, is 0.80 . The probability that he bowls on a Wednesday evening, given that Alison does not bowl on that evening, is 0.15 . The probability that he bowls on a Thursday evening, given that Alison bowls on that evening, is 1 . The probability that he bowls on a Thursday evening, given that Alison does not bowl on that evening, is 0 . Calculate the probability that, during a particular week:
    1. Alison and David bowl on a Wednesday evening;
    2. Alison and David bowl on both evenings;
    3. Alison, but not David, bowls on a Thursday evening;
    4. neither bowls on either evening.
AQA S1 2013 June Q6
6 The weight, \(X\) kilograms, of sand in a bag can be modelled by a normal random variable with unknown mean \(\mu\) and known standard deviation 0.4 .
  1. The sand in each of a random sample of 25 bags from a large batch is weighed. The total weight of sand in these 25 bags is found to be 497.5 kg .
    1. Construct a 98\% confidence interval for the mean weight of sand in bags in the batch.
    2. Hence comment on the claim that bags in the batch contain an average of 20 kg of sand.
    3. State why use of the Central Limit Theorem is not required in answering part (a)(i).
  2. The weight, \(Y\) kilograms, of cement in a bag can be modelled by a normal random variable with mean 25.25 and standard deviation 0.35. A firm purchases 10 such bags. These bags may be considered to be a random sample.
    1. Determine the probability that the mean weight of cement in the 10 bags is less than 25 kg .
    2. Calculate the probability that the weight of cement in each of the 10 bags is more than 25 kg .
      \includegraphics[max width=\textwidth, alt={}]{fbee7665-54e4-4805-9ce0-6244a4ba043c-20_1111_1707_1592_153}
      \includegraphics[max width=\textwidth, alt={}]{fbee7665-54e4-4805-9ce0-6244a4ba043c-23_2351_1707_219_153}
AQA S1 2014 June Q1
1 The weights, in kilograms, of a random sample of 15 items of cabin luggage on an aeroplane were as follows. \section*{\(\begin{array} { l l l l l l l l l l l l l l l } 4.6 & 3.8 & 3.9 & 4.5 & 4.9 & 3.6 & 3.7 & 5.2 & 4.0 & 5.1 & 4.1 & 3.3 & 4.7 & 5.0 & 4.8 \end{array}\)} For these data:
  1. find values for the median and the interquartile range;
  2. find the value for the range;
  3. state why the mode is not an appropriate measure of average.
AQA S1 2014 June Q2
4 marks
2
  1. Tim rings the church bell in his village every Sunday morning. The time that he spends ringing the bell may be modelled by a normal distribution with mean 7.5 minutes and standard deviation 1.6 minutes. Determine the probability that, on a particular Sunday morning, the time that Tim spends ringing the bell is:
    1. at most 10 minutes;
    2. more than 6 minutes;
    3. between 5 minutes and 10 minutes.
  2. June rings the same church bell for weekday weddings. The time that she spends, in minutes, ringing the bell may be modelled by the distribution \(\mathrm { N } \left( \mu , 2.4 ^ { 2 } \right)\). Given that 80 per cent of the times that she spends ringing the bell are less than 15 minutes, find the value of \(\mu\).
    [0pt] [4 marks]
    \includegraphics[max width=\textwidth, alt={}]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-04_1477_1707_1226_153}
AQA S1 2014 June Q3
1 marks
3 The table shows the body mass index (BMI), \(x\), and the systolic blood pressure (SBP), \(y \mathrm { mmHg }\), for each of a random sample of 10 men, aged between 35 years and 40 years, from a particular population.
\(\boldsymbol { x }\)13232935173425203127
\(\boldsymbol { y }\)103115124126108120113117118119
  1. Calculate the equation of the least squares regression line of \(y\) on \(x\).
  2. Use your equation to estimate the SBP of a man from this population who is aged 38 years and who has a BMI of 30 .
  3. State why your equation might not be appropriate for estimating the SBP of a man from this population:
    1. who is aged 38 years and who has a BMI of 45 ;
    2. who is aged 50 years and who has a BMI of 25 .
  4. Find the value of the residual for the point \(( 20,117 )\).
  5. The mean of the vertical distances of the 10 points from the regression line calculated in part (a) is 2.71, correct to three significant figures. Comment on the likely accuracy of your estimate in part (b).
    [0pt] [1 mark]
AQA S1 2014 June Q4
4 Alf and Mabel are members of a bowls club and sometimes attend the club's social events. The probability, \(\mathrm { P } ( A )\), that Alf attends a social event is 0.70 .
The probability, \(\mathrm { P } ( M )\), that Mabel attends a social event is 0.55 .
The probability, \(\mathrm { P } ( A \cap M )\), that both Alf and Mabel attend the same social event is 0.45 .
  1. Find the probability that:
    1. either Alf or Mabel or both attend a particular social event;
    2. either Alf or Mabel but not both attend a particular social event.
  2. Give a numerical justification for the following statement.
    "Events \(A\) and \(M\) are not independent."
  3. Ben and Nora are also members of the bowls club and sometimes attend the club's social events. The probability, \(\mathrm { P } ( B )\), that Ben attends a social event is 0.85 .
    The probability, \(\mathrm { P } ( N )\), that Nora attends a social event is 0.65 .
    The attendance of each of Ben and Nora at a social event is independent of the attendance of all other members. Find the probability that:
    1. all four named members attend a particular social event;
    2. none of the four named members attend a particular social event.
AQA S1 2014 June Q5
3 marks
5 As part of a study of charity shops in a small market town, two such shops, \(X\) and \(Y\), were each asked to provide details of its takings on 12 randomly selected days. The table shows, for each of the 12 days, the day's takings, \(\pounds x\), of charity shop \(X\) and the day's takings, \(\pounds y\), of charity shop \(Y\).
Day\(\mathbf { A }\)\(\mathbf { B }\)\(\mathbf { C }\)\(\mathbf { D }\)\(\mathbf { E }\)\(\mathbf { F }\)\(\mathbf { G }\)\(\mathbf { H }\)\(\mathbf { I }\)\(\mathbf { J }\)\(\mathbf { K }\)\(\mathbf { L }\)
\(\boldsymbol { x }\)4657391166277416115536861
\(\boldsymbol { y }\)781026621498729813421679583
    1. Calculate the value of the product moment correlation coefficient between \(x\) and \(y\).
    2. Interpret your value in the context of this question.
  1. Complete the scatter diagram shown on the opposite page.
  2. The investigator realised subsequently that one of the 12 selected days was a particularly popular town market day and another was a day on which the weather was extremely severe. Identify each of these days giving a reason for each choice.
  3. Removing the two days described in part (c) from the data gives the following information. $$S _ { x x } = 1292.5 \quad S _ { y y } = 3850.1 \quad S _ { x y } = 407.5$$
    1. Use this information to recalculate the value of the product moment correlation coefficient between \(x\) and \(y\).
    2. Hence revise, as necessary, your interpretation in part (a)(ii).
      [0pt] [3 marks] Shop \(X\) takings(£) \begin{figure}[h]
      \captionsetup{labelformat=empty} \caption{harity Shops} \includegraphics[alt={},max width=\textwidth]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-17_33_21_294_1617}
      \end{figure} \begin{figure}[h]
      \captionsetup{labelformat=empty} \caption{harity Shops} \includegraphics[alt={},max width=\textwidth]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-17_49_24_276_1710}
      \end{figure}
      \includegraphics[max width=\textwidth, alt={}]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-17_1304_415_406_1391}
AQA S1 2014 June Q6
5 marks
6 The probability that an online order from a supermarket chain has at least one item missing when delivered is 0.06 . Online orders are 'incomplete' if they contain substitute items and/or have at least one item missing when delivered. The probability that an order is incomplete is 0.15 .
  1. Calculate the probability that exactly 2 out of a random sample of 26 online orders have at least one item missing when delivered.
  2. Determine the probability that the number of incomplete orders in a random sample of 50 online orders is:
    1. fewer than 10 ;
    2. more than 5;
    3. more than 6 but fewer than 12 .
  3. Farokh, the manager of one of the supermarket's stores, examines 50 randomly selected online orders from each of a random sample of 100 of the store's customers. He records, for each of the 50 orders, the number, \(x\), that were incomplete. His summarised results, correct to three significant figures, for the 100 customers selected are $$\bar { x } = 4.33 \text { and } s ^ { 2 } = 3.94$$ Use this information to compare the performance of the store managed by Farokh with that of the supermarket chain as a whole.
    [0pt] [5 marks]
AQA S1 2014 June Q7
2 marks
7 For the year 2014, the table below summarises the weights, \(x\) kilograms, of a random sample of 160 women residing in a particular city who are aged between 18 years and 25 years.
Weight ( \(\boldsymbol { x }\) kg)Number of women
35-404
40-459
45-5012
50-5516
55-6024
60-6528
65-7024
70-7517
75-8012
80-857
85-904
90-952
95-1001
Total160
  1. Calculate estimates of the mean and the standard deviation of these 160 weights.
    1. Construct a 98\% confidence interval for the mean weight of women residing in the city who are aged between 18 years and 25 years.
    2. Hence comment on a claim that the mean weight of women residing in the city who are aged between 18 years and 25 years has increased from that of 61.7 kg in 1965.
      [0pt] [2 marks]
      \includegraphics[max width=\textwidth, alt={}]{ddf7f158-b6ae-42c6-98f1-d59c205646ad-28_2488_1728_219_141}
AQA S1 2014 June Q1
2 marks
1 Henrietta lives on a small farm where she keeps some hens.
For a period of 35 weeks during the hens' first laying season, she records, each week, the total number of eggs laid by the hens. Her records are shown in the table.
Total number of eggs laid in a week ( \(\boldsymbol { x }\) )Number of weeks ( f)
661
672
683
695
707
718
724
732
742
751
Total35
  1. For these data:
    1. state values for the mode and the range;
    2. find values for the median and the interquartile range;
    3. calculate values for the mean and the standard deviation.
  2. Each week, for the 35 weeks, Henrietta sells 60 eggs to a local shop, keeping the remainder for her own use. State values for the mean and the standard deviation of the number of eggs that she keeps.
    [0pt] [2 marks]
AQA S1 2014 June Q2
3 marks
2 A garden centre sells bamboo canes of nominal length 1.8 metres. The length, \(X\) metres, of the canes can be modelled by a normal distribution with mean 1.86 and standard deviation \(\sigma\).
  1. Assuming that \(\sigma = 0.04\), determine:
    1. \(\mathrm { P } ( X < 1.90 )\);
    2. \(\mathrm { P } ( X > 1.80 )\);
    3. \(\mathrm { P } ( 1.80 < X < 1.90 )\);
    4. \(\mathrm { P } ( X \neq 1.86 )\).
  2. It is subsequently found that \(\mathrm { P } ( X > 1.80 ) = 0.98\). Determine the value of \(\sigma\).
    [0pt] [3 marks]
    \includegraphics[max width=\textwidth, alt={}]{8aeacd54-a5a1-4f2d-b936-2faf635ffce7-06_1529_1717_1178_150}
AQA S1 2014 June Q3
4 marks
3 The table shows the colour of hair and the colour of eyes of a sample of 750 people from a particular population.
AQA S1 2014 June Q4
4 Every year, usually during early June, the Isle of Man hosts motorbike races. Each race consists of three consecutive laps of the island's course. To compete in a race, a rider must first complete at least one qualifying lap. The data refer to the lightweight motorbike class in 2012 and show, for each of a random sample of 10 riders, values of $$u = x - 100 \quad \text { and } \quad v = y - 100$$ where
\(x\) denotes the average speed, in mph, for the rider's fastest qualifying lap and
\(y\) denotes the average speed, in mph, for the rider's three laps of the race.
\cline { 2 - 11 } \multicolumn{1}{c|}{}Rider
\cline { 2 - 11 } \multicolumn{1}{c|}{}\(\mathbf { A }\)\(\mathbf { B }\)\(\mathbf { C }\)\(\mathbf { D }\)\(\mathbf { E }\)\(\mathbf { F }\)\(\mathbf { G }\)\(\mathbf { H }\)\(\mathbf { I }\)\(\mathbf { J }\)
\(\boldsymbol { u }\)7.8813.024.292.886.267.033.6011.7813.1511.69
\(\boldsymbol { v }\)6.6310.163.630.475.708.013.307.3113.0811.82
    1. Calculate the value of \(r _ { u v }\), the product moment correlation coefficient between \(u\) and \(v\).
    2. Hence state the value of \(r _ { x y }\), giving a reason for your answer.
  1. Interpret your value of \(r _ { x y }\) in the context of this question.