Questions — OCR MEI AS Paper 2 (98 questions)

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OCR MEI AS Paper 2 2018 June Q1
1 Write down the value of
(A) \(\log _ { a } \left( a ^ { 4 } \right)\),
(B) \(\log _ { a } \left( \frac { 1 } { a } \right)\).
OCR MEI AS Paper 2 2018 June Q2
2 Doug has a list of times taken by competitors in a 'fun run'. He has grouped the data and calculated the frequency densities in order to draw a histogram to represent the information. Some of the data are presented in Fig. 2. \begin{table}[h]
Time in minutes\(15 -\)\(20 -\)\(25 -\)\(35 -\)\(45 - 60\)
Number of runners12235971
Frequency density2.45.97.11.4
\captionsetup{labelformat=empty} \caption{Fig. 2}
\end{table}
  1. Write down the missing values in the copy of Fig. 2 in the Printed Answer Booklet.
  2. Doug labels the horizontal axis on the histogram 'time in minutes' and the vertical axis 'number of minutes per runner'. State which one of these labels is incorrect and write down a correct version.
    \(3 \quad P\) and \(Q\) are consecutive odd positive integers such that \(P > Q\).
    Prove that \(P ^ { 2 } - Q ^ { 2 }\) is a multiple of 8 .
OCR MEI AS Paper 2 2018 June Q4
4 The probability distribution of the discrete random variable \(X\) is given in Fig. 4 . \begin{table}[h]
\(r\)01234
\(\mathrm { P } ( X = r )\)0.20.150.3\(k\)0.25
\captionsetup{labelformat=empty} \caption{Fig. 4}
\end{table}
  1. Find the value of \(k\).
    \(X _ { 1 }\) and \(X _ { 2 }\) are two independent values of \(X\).
  2. Find \(\mathrm { P } \left( X _ { 1 } + X _ { 2 } = 6 \right)\).
OCR MEI AS Paper 2 2018 June Q5
5 Find the set of values of \(a\) for which the equation $$a x ^ { 2 } + 8 x + 2 = 0$$ has no real roots.
OCR MEI AS Paper 2 2018 June Q6
6 Show that \(\int _ { 0 } ^ { 9 } ( 3 + 4 \sqrt { x } ) \mathrm { d } x = 99\).
OCR MEI AS Paper 2 2018 June Q7
7 Rose and Emma each wear a device that records the number of steps they take in a day. All the results for a 7-day period are given in Fig. 7. \begin{table}[h]
Day1234567
Rose10014112621014993619708992110369
Emma9204991387411001510261739110856
\captionsetup{labelformat=empty} \caption{Fig. 7}
\end{table} The 7-day mean is the mean number of steps taken in the last 7 days. The 7-day mean for Rose is 10112 .
  1. Calculate the 7-day mean for Emma. At the end of day 8 a new 7-day mean is calculated by including the number of steps taken on day 8 and omitting the number of steps taken on day 1 . On day 8 Rose takes 10259 steps.
  2. Determine the number of steps Emma must take on day 8 so that her 7 -day mean at the end of day 8 is the same as for Rose. In fact, over a long period of time, the mean of the number of steps per day that Emma takes is 10341 and the standard deviation is 948.
  3. Determine whether the number of steps Emma needs to take on day 8 so that her 7 -day mean is the same as that for Rose in part (ii) is unusually high.
OCR MEI AS Paper 2 2018 June Q9
9 In this question you must show detailed reasoning.
Research showed that in May 2017 62\% of adults over 65 years of age in the UK used a certain online social media platform. Later in 2017 it was believed that this proportion had increased. In December 2017 a random sample of 59 adults over 65 years of age in the UK was collected. It was found that 46 of the 59 adults used this online social media platform. Use a suitable hypothesis test to determine whether there is evidence at the \(1 \%\) level to suggest that the proportion of adults over 65 in the UK who used this online social media platform had increased from May 2017 to December 2017.
OCR MEI AS Paper 2 2018 June Q10
10
  1. A curve has equation \(y = 16 x + \frac { 1 } { x ^ { 2 } }\). Find
    (A) \(\frac { \mathrm { d } y } { \mathrm {~d} x }\),
    (B) \(\frac { \mathrm { d } ^ { 2 } y } { \mathrm {~d} x ^ { 2 } }\).
  2. Hence
    • find the coordinates of the stationary point,
    • determine the nature of the stationary point.
OCR MEI AS Paper 2 2018 June Q11
11 The pre-release material contains data concerning the death rate per thousand people and the birth rate per thousand people in all the countries of the world. The diagram in Fig. 11.1 was generated using a spreadsheet and summarises the birth rates for all the countries in Africa. \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{ea65a2ad-f066-4075-a237-b799a8fb6f50-6_526_896_386_589} \captionsetup{labelformat=empty} \caption{Fig. 11.1}
\end{figure}
  1. Identify two respects in which the presentation of the data is incorrect. Fig. 11.2 shows a scatter diagram of death rate, \(y\), against birth rate, \(x\), for a sample of 55 countries, all of which are in Africa. A line of best fit has also been drawn. \begin{figure}[h]
    \includegraphics[alt={},max width=\textwidth]{ea65a2ad-f066-4075-a237-b799a8fb6f50-6_609_1073_1283_497} \captionsetup{labelformat=empty} \caption{Fig. 11.2}
    \end{figure} The equation of the line of best fit is \(y = 0.15 x + 4.72\).
  2. (A) What does the diagram suggest about the relationship between death rate and birth rate?
    (B) The birth rate in Togo is recorded as 34.13 per thousand, but the data on death rate has been lost. Use the equation of the line of best fit to estimate the death rate in Togo.
    (C) Explain why it would not be sensible to use the equation of the line of best fit to estimate the death rate in a country where the birth rate is 5.5 per thousand.
    (D) Explain why it would not be sensible to use the equation of the line of best fit to estimate the death rate in a Caribbean country where the birth rate is known.
    (E) Explain why it is unlikely that the sample is random. Including Togo there were 56 items available for selection.
  3. Describe how a sample of size 14 from this data could be generated for further analysis using systematic sampling.
OCR MEI AS Paper 2 2018 June Q12
12 In an experiment 500 fruit flies were released into a controlled environment. After 10 days there were 650 fruit flies present. Munirah believes that \(N\), the number of fruit flies present at time \(t\) days after the fruit flies are released, will increase at the rate of \(4.4 \%\) per day. She proposes that the situation is modelled by the formula \(N = A k ^ { t }\).
  1. Write down the values of \(A\) and \(k\).
  2. Determine whether the model is consistent with the value of \(N\) at \(t = 10\).
  3. What does the model suggest about the number of fruit flies in the long run? Subsequently it is found that for large values of \(t\) the number of fruit flies in the controlled environment oscillates about 750 . It is also found that as \(t\) increases the oscillations decrease in magnitude. Munirah proposes a second model in the light of this new information. $$N = 750 - 250 \times \mathrm { e } ^ { - 0.092 t } .$$
  4. Identify three ways in which this second model is consistent with the known data.
  5. (A) Identify one feature which is not accounted for by the second model.
    (B) Give an example of a mathematical function which needs to be incorporated in the model to account for this feature. \section*{END OF QUESTION PAPER}
OCR MEI AS Paper 2 2019 June Q1
1 Solve the equation \(4 x ^ { - \frac { 1 } { 2 } } = 7\), giving your answer as a fraction in its lowest terms.
OCR MEI AS Paper 2 2019 June Q2
2 Fig. 2 shows a triangle with one angle of \(117 ^ { \circ }\) given. The lengths are given in centimetres. \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{11e5167f-9f95-4494-9b66-b59fdce8b1ef-3_300_791_589_244} \captionsetup{labelformat=empty} \caption{Fig. 2}
\end{figure} Calculate the area of the triangle, giving your answer correct to 3 significant figures.
OCR MEI AS Paper 2 2019 June Q3
3 Without using a calculator, prove that \(3 \sqrt { 2 } > 2 \sqrt { 3 }\).
OCR MEI AS Paper 2 2019 June Q4
4 The equation of a circle is \(x ^ { 2 } + y ^ { 2 } + 8 x - 6 y - 39 = 0\).
  1. Find the coordinates of the centre of the circle.
  2. Find the radius of the circle.
OCR MEI AS Paper 2 2019 June Q5
5 Each day John either cycles to work or goes on the bus.
  • If it is raining when John is ready to set off for work, the probability that he cycles to work is 0.4.
  • If it is not raining when John is ready to set off for work, the probability that he cycles to work is 0.9 .
  • The probability that it is raining when he is ready to set off for work is 0.2 .
You should assume that days on which it rains occur randomly and independently.
  1. Draw a tree diagram to show the possible outcomes and their associated probabilities.
  2. Calculate the probability that, on a randomly chosen day, John cycles to work. John works 5 days each week.
  3. Calculate the probability that he cycles to work every day in a randomly chosen working week.
OCR MEI AS Paper 2 2019 June Q6
6 The large data set gives information about life expectancy at birth for males and females in different London boroughs. Fig. 6.1 shows summary statistics for female life expectancy at birth for the years 2012-2014. Fig. 6.2 shows summary statistics for male life expectancy at birth for the years 2012-2014. \section*{Female Life Expectancy at Birth} \begin{table}[h]
n32
Mean84.2313
s1.1563
\(\sum x\)2695.4
\(\sum x ^ { 2 }\)227078.36
Min82.1
Q183.45
Median84
Q384.9
Max86.7
\captionsetup{labelformat=empty} \caption{Fig. 6.1}
\end{table} Male Life Expectancy at Birth \begin{table}[h]
n32
Mean80.2844
s1.4294
\(\sum x\)2569.1
\(\sum x ^ { 2 }\)206321.93
Min77.6
Q179
Median80.25
Q381.15
Max83.3
\captionsetup{labelformat=empty} \caption{Fig. 6.2}
\end{table}
  1. Use the information in Fig. 6.1 and Fig. 6.2 to draw two box plots. Draw one box plot for female life expectancy at birth in London boroughs and one box plot for male life expectancy at birth in London boroughs.
  2. Compare and contrast the distribution of male life expectancy at birth with the distribution of female life expectancy at birth in London boroughs in 2012-2014. Lorraine, who lives in Lancashire, says she wishes her daughter (who was born in 2013) had been born in the London borough of Barnet, because her daughter would have had a higher life expectancy.
  3. Give two reasons why there is no evidence in the large data set to support Lorraine's comment.
  4. Use the mean and standard deviation for the summary statistics given in Fig. 6.1 and Fig. 6.2 to show that there is at least one outlier in each set. The scatter diagram in Fig. 6.3 shows male life expectancy at birth plotted against female life expectancy at birth for London boroughs in 2012-14. The outliers have been removed. Male life expectancy at birth against female life expectancy at birth \begin{figure}[h]
    \includegraphics[alt={},max width=\textwidth]{11e5167f-9f95-4494-9b66-b59fdce8b1ef-5_593_1054_1260_246} \captionsetup{labelformat=empty} \caption{Fig. 6.3}
    \end{figure}
  5. Describe the association between male life expectancy at birth and female life expectancy at birth in London boroughs in 2012-14.
OCR MEI AS Paper 2 2019 June Q7
7
  1. Find \(\int x ^ { 3 } \left( 15 x + \frac { 11 } { \sqrt [ 3 ] { x } } \right) \mathrm { d } x\).
  2. Show that \(\int _ { 0 } ^ { 8 } x ^ { 3 } \left( 15 x + \frac { 11 } { \sqrt [ 3 ] { x } } \right) \mathrm { d } x = a \times 2 ^ { 11 }\), where \(a\) is a positive integer to be determined.
OCR MEI AS Paper 2 2019 June Q8
8 According to the latest research there are 19.8 million male drivers and 16.2 million female drivers on the roads in the UK.
  1. A driver in the UK is selected at random. Find the probability that the driver is male.
  2. Calculate the probability that there are 7 female drivers in a random sample of 25 UK drivers. When driving in a built-up area, Rebecca exceeded the speed limit and was obliged to attend a speed awareness course. Her husband said "It's nearly always male drivers who are speeding." When Rebecca attends the course, she finds that there are 25 drivers, 7 of whom are female. You should assume that the drivers on the speed awareness course constitute a random sample of drivers caught speeding.
  3. In this question you must show detailed reasoning. Conduct a hypothesis test to determine whether there is any evidence at the \(5 \%\) level to suggest that male drivers are more likely to exceed the speed limit than female drivers.
  4. State a modelling assumption that is necessary in order to conduct the hypothesis test in part (c).
OCR MEI AS Paper 2 2019 June Q9
9 In 2012 Adam bought a second hand car for \(\pounds 8500\). Each year Adam has his car valued. He believes that there is a non-linear relationship between \(t\), the time in years since he bought the car, and \(V\), the value of the car in pounds. Fig. 9.1 shows successive values of \(V\) and \(\log _ { 10 } V\). \begin{table}[h]
\(t\)01234
\(V\)85006970572046903840
\(\log _ { 10 } V\)3.933.843.763.673.58
\captionsetup{labelformat=empty} \caption{Fig. 9.1}
\end{table} Adam uses a spreadsheet to plot the points ( \(t , \log _ { 10 } V\) ) shown in Fig. 9.1, and then generates a line of best fit for these points. The line passes through the points \(( 0,3.93 )\) and \(( 4,3.58 )\). A copy of his graph is shown in Fig. 9.2. \begin{figure}[h]
\includegraphics[alt={},max width=\textwidth]{11e5167f-9f95-4494-9b66-b59fdce8b1ef-6_776_682_1886_246} \captionsetup{labelformat=empty} \caption{Fig. 9.2}
\end{figure}
  1. Find an expression for \(\log _ { 10 } V\) in terms of \(t\).
  2. Find a model for \(V\) in the form \(V = A \times b ^ { t }\), where \(A\) and \(b\) are constants to be determined. Give the values of \(A\) and \(b\) correct to 2 significant figures. In 2017 Adam's car was valued at \(\pounds 3150\).
  3. Determine whether the model is a good fit for this data. A company called Webuyoldcars pays \(\pounds 500\) for any second hand car. Adam decides that he will sell his car to this company when the annual valuation of his car is less than \(\pounds 500\).
  4. According to the model, after how many years will Adam sell his car to Webuyoldcars?
OCR MEI AS Paper 2 2022 June Q1
1 The probability distribution for the discrete random variable \(X\) is shown below.
\(x\)12345
\(\mathrm { P } ( \mathrm { X } = \mathrm { x } )\)0.20.15\(a\)0.270.14
Find the value of \(a\).
OCR MEI AS Paper 2 2022 June Q2
2
  1. Factorise \(3 x ^ { 2 } - 19 x - 14\).
  2. Solve the inequality \(3 x ^ { 2 } - 19 x - 14 < 0\).
OCR MEI AS Paper 2 2022 June Q3
3 You are given that \(y = A e ^ { 0.02 t }\).
  • Make \(t\) the subject of the formula.
  • Find the value of \(t\) when \(y = 10 ^ { 8 }\) and \(A = 6.62 \times 10 ^ { 7 }\).
OCR MEI AS Paper 2 2022 June Q4
4 The position vector of \(P\) is \(\mathbf { p } = \binom { 4 } { 3 }\) and the position vector of \(Q\) is \(\mathbf { q } = \binom { 28 } { 10 }\).
  1. Determine the magnitude of \(\overrightarrow { \mathrm { PQ } }\).
  2. Determine the angle between \(\overrightarrow { \mathrm { PQ } }\) and the positive \(x\)-direction.
OCR MEI AS Paper 2 2022 June Q5
5 Ali collected data from a random sample of 200 workers and recorded the number of days they each worked from home in the second week of September 2019. These data are shown in Fig. 5.1. \begin{table}[h]
Number of days worked from home012345
Frequency416533262015
\captionsetup{labelformat=empty} \caption{Fig. 5.1}
\end{table}
  1. Represent the data by a suitable diagram.
  2. Calculate
    • The mean number of days worked from home.
    • The standard deviation of the number of days worked from home.
    Ali then collected data from a different random sample of 200 workers for the same week in September 2019. The mean number of days worked from home for this sample was 1.94 and the standard deviation was 1.75.
  3. Explain whether there is any evidence to suggest that one or both of the samples must be flawed. Fig. 5.2 shows a cumulative frequency diagram for the ages of the workers in the first sample who worked from home on at least one day. \begin{figure}[h]
    \includegraphics[alt={},max width=\textwidth]{e0b502a8-c742-4d78-993c-8c0c7329ec9c-04_671_1362_1452_241} \captionsetup{labelformat=empty} \caption{Fig. 5.2}
    \end{figure} Ali concludes that \(90 \%\) of the workers in this sample who worked from home on at least one day were under 60 years of age
  4. Explain whether Ali's conclusion is correct.
OCR MEI AS Paper 2 2022 June Q6
6 The pre-release material contains information about employment rates in London boroughs. The graph shows employment rates for Westminster between 2006 and 2019. \begin{figure}[h]
\captionsetup{labelformat=empty} \caption{Employment rate in Westminster} \includegraphics[alt={},max width=\textwidth]{e0b502a8-c742-4d78-993c-8c0c7329ec9c-05_641_1465_406_242}
\end{figure} A local politician stated that the diagram shows that more than \(60 \%\) of seventy-year-olds were in employment throughout the period from 2006 to 2019.
  1. Use your knowledge of the pre-release material to explain whether there is any evidence to support this statement. In order to estimate the employment rate in 2020, two different models were proposed using the LINEST function in a spreadsheet. Model 1 (using all the data from 2006 onwards)
    \(\mathrm { Y } = 0.549 \mathrm { x } - 1040\), Model 2 (using data from 2017 onwards)
    \(\mathrm { Y } = 2.65 \mathrm { x } - 5280\),
    where \(Y =\) employment rate and \(x =\) calendar year. It was subsequently found that the employment rate in Westminster in 2020 was 68.4\%.
  2. Determine which of the two models provided the better estimate for the employment rate in Westminster in 2020.
  3. Use your knowledge of the pre-release material to explain whether it would be appropriate to use either model to estimate the employment rate in 2020 in other London boroughs.
  4. What does model 2 predict for employment rates in Westminster in the long term?