OCR MEI S1 (Statistics 1) 2005 June

Question 1
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1 At a certain stage of a football league season, the numbers of goals scored by a sample of 20 teams in the league were as follows.
\(\begin{array} { l l l l l l l l l l l l l l l l l l l l l } 22 & 23 & 23 & 23 & 26 & 28 & 28 & 30 & 31 & 33 & 33 & 34 & 35 & 35 & 36 & 36 & 37 & 46 & 49 & 49 \end{array}\)
  1. Calculate the sample mean and sample variance, \(s ^ { 2 }\), of these data.
  2. The three teams with the most goals appear to be well ahead of the other teams. Determine whether or not any of these three pieces of data may be considered outliers.
Question 2
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2 Answer part (i) of this question on the insert provided.
A taxi driver operates from a taxi rank at a main railway station in London. During one particular week he makes 120 journeys, the lengths of which are summarised in the table.
Length
\(( x\) miles \()\)
\(0 < x \leqslant 1\)\(1 < x \leqslant 2\)\(2 < x \leqslant 3\)\(3 < x \leqslant 4\)\(4 < x \leqslant 6\)\(6 < x \leqslant 10\)
Number of
journeys
3830211498
  1. On the insert, draw a cumulative frequency diagram to illustrate the data.
  2. Use your graph to estimate the median length of journey and the quartiles. Hence find the interquartile range.
  3. State the type of skewness of the distribution of the data.
Question 3
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3 Jeremy is a computing consultant who sometimes works at home. The number, \(X\), of days that Jeremy works at home in any given week is modelled by the probability distribution $$\mathrm { P } ( X = r ) = \frac { 1 } { 40 } r ( r + 1 ) \quad \text { for } r = 1,2,3,4 .$$
  1. Verify that \(\mathrm { P } ( X = 4 ) = \frac { 1 } { 2 }\).
  2. Calculate \(\mathrm { E } ( X )\) and \(\operatorname { Var } ( X )\).
  3. Jeremy works for 45 weeks each year. Find the expected number of weeks during which he works at home for exactly 2 days.
Question 4 1 marks
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4 An examination paper consists of three sections.
  • Section A contains 6 questions of which the candidate must answer 3
  • Section B contains 7 questions of which the candidate must answer 4
  • Section C contains 8 questions of which the candidate must answer 5
    1. In how many ways can a candidate choose 3 questions from Section A?
    2. In how many ways can a candidate choose 3 questions from Section A, 4 from Section B and 5 from Section C?
A candidate does not read the instructions and selects 12 questions at random.
  • Find the probability that they happen to be 3 from Section A, 4 from Section B and 5 from Section C.
  • Question 5
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    1. On the insert, complete the table giving the lowest common multiples of all pairs of integers between 1 and 6 .
      [0pt] [1]
      \multirow{2}{*}{}Second integer
      123456
      \multirow{6}{*}{First integer}1123456
      22264106
      336312156
      4441212
      551015
      666612
      Two fair dice are thrown and the lowest common multiple of the two scores is found.
    2. Use the table to find the probabilities of the following events.
      (A) The lowest common multiple is greater than 6 .
      (B) The lowest common multiple is a multiple of 5 .
      (C) The lowest common multiple is both greater than 6 and a multiple of 5 .
    3. Use your answers to part (ii) to show that the events "the lowest common multiple is greater than 6 " and "the lowest common multiple is a multiple of 5 " are not independent.
    Question 6
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    6 Answer part (i) of this question on the insert provided. Mancaster Hockey Club invite prospective new players to take part in a series of three trial games. At the end of each game the performance of each player is assessed as pass or fail. Players who achieve a pass in all three games are invited to join the first team squad. Players who achieve a pass in two games are invited to join the second team squad. Players who fail in two games are asked to leave. This may happen after two games.
    • The probability of passing the first game is 0.9
    • Players who pass any game have probability 0.9 of passing the next game
    • Players who fail any game have probability 0.5 of failing the next game
      1. On the insert, complete the tree diagram which illustrates the information above.
        \includegraphics[max width=\textwidth, alt={}, center]{668963b4-994d-475a-a1c8-c3e3a252e4e6-4_691_1329_978_397}
      2. Find the probability that a randomly selected player
        (A) is invited to join the first team squad,
        (B) is invited to join the second team squad.
      3. Hence write down the probability that a randomly selected player is asked to leave.
      4. Find the probability that a randomly selected player is asked to leave after two games, given that the player is asked to leave.
    Angela, Bryony and Shareen attend the trials at the same time. Assuming their performances are independent, find the probability that
  • at least one of the three is asked to leave,
  • they pass a total of 7 games between them.
  • Question 7
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    7 A game requires 15 identical ordinary dice to be thrown in each turn.
    Assuming the dice to be fair, find the following probabilities for any given turn.
    1. No sixes are thrown.
    2. Exactly four sixes are thrown.
    3. More than three sixes are thrown. David and Esme are two players who are not convinced that the dice are fair. David believes that the dice are biased against sixes, while Esme believes the dice to be biased in favour of sixes. In his next turn, David throws no sixes. In her next turn, Esme throws 5 sixes.
    4. Writing down your hypotheses carefully in each case, decide whether
      (A) David's turn provides sufficient evidence at the \(10 \%\) level that the dice are biased against sixes,
      (B) Esme's turn provides sufficient evidence at the \(10 \%\) level that the dice are biased in favour of sixes.
    5. Comment on your conclusions from part (iv).