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A teacher asked a random sample of 10 students to record the number of hours of television, $t$, they watched in the week before their mock exam - Edexcel - A-Level Maths Statistics - Question 1 - 2013 - Paper 1

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Question 1

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A teacher asked a random sample of 10 students to record the number of hours of television, $t$, they watched in the week before their mock exam. She then calculated... show full transcript

Worked Solution & Example Answer:A teacher asked a random sample of 10 students to record the number of hours of television, $t$, they watched in the week before their mock exam - Edexcel - A-Level Maths Statistics - Question 1 - 2013 - Paper 1

Step 1

Find $S_t$ and $S_{g}$.

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Answer

To find StS_t and SgS_g, we apply the formulas for the variance:

  1. Calculate StS_t:

    St=t2(t)2nS_t = \sum t^2 - \frac{(\sum t)^2}{n}

    Substituting the values:

    St=8702(258)210S_t = 8702 - \frac{(258)^2}{10}

    =87026650.4=2051.6= 8702 - 6650.4 = 2051.6

  2. Calculate SgS_{g}:

    Sg=7.864S_{g} = 7.864

Thus, we have:

  • St=2051.6S_t = 2051.6
  • Sg=7.864S_{g} = 7.864

Step 2

Calculate, to 3 significant figures, the product moment correlation coefficient between $t$ and $g$.

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Answer

The product moment correlation coefficient rr is calculated using the formula:

r=ngtgt(ng2(g)2)(nt2(t)2)r = \frac{n \sum gt - \sum g \sum t}{\sqrt{(n \sum g^2 - (\sum g)^2)(n \sum t^2 - (\sum t)^2)}}

Substituting the known values we have:

  • n=10n = 10
  • gt=1550.2\sum gt = 1550.2
  • g=63.6\sum g = 63.6
  • t=258\sum t = 258
  • g2=(Sg+(g)2n)n\sum g^2 = \frac{(S_g + \frac{(\sum g)^2}{n})}{n}
  • t2=8702\sum t^2 = 8702

After performing the calculations, we arrive at:

r=0.714956r = -0.714956

Thus, the correlation coefficient to three significant figures is:

Answer: r=0.715r = -0.715

Step 3

Describe, giving a reason, the nature of the correlation you would expect to find between $v$ and $g$.

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Answer

The correlation between vv (hours of revision) and gg (grade) is expected to be positive. This is because as the number of hours spent revising increases, students are likely to perform better in their exams. Thus, there is a direct relationship where higher revision time corresponds to higher grades.

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