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A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossessed, $h$, during that month - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 2

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A-bank-reviews-its-customer-records-at-the-end-of-each-month-to-find-out-how-many-customers-have-become-unemployed,-$u$,-and-how-many-have-had-their-house-repossessed,-$h$,-during-that-month-Edexcel-A-Level Maths Statistics-Question 2-2012-Paper 2.png

A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossesse... show full transcript

Worked Solution & Example Answer:A bank reviews its customer records at the end of each month to find out how many customers have become unemployed, $u$, and how many have had their house repossessed, $h$, during that month - Edexcel - A-Level Maths Statistics - Question 2 - 2012 - Paper 2

Step 1

Calculate the value of the product moment correlation coefficient for $x$ and $y$

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Answer

To calculate the product moment correlation coefficient rr, use the formula:

r=nxyxy(nx2(x)2)(ny2(y)2)r = \frac{n \sum xy - \sum x \sum y}{\sqrt{(n \sum x^2 - (\sum x)^2)(n \sum y^2 - (\sum y)^2)}}

Where:

  • n=12n = 12 (the number of months)
  • x=477\sum x = 477
  • y=480\sum y = 480
  • x2=5606.25\sum x^2 = 5606.25
  • y2=23070\sum y^2 = 23070
  • xy=3990\sum xy = 3990 (calculated as nxy=123990n \sum xy = 12 * 3990)

Substituting these values gives:

r=12×3990477×480(12×5606.254772)(12×230704802)r = \frac{12 \times 3990 - 477 \times 480}{\sqrt{(12 \times 5606.25 - 477^2)(12 \times 23070 - 480^2)}}

Calculating the individual components:

  • 12×3990=4788012 \times 3990 = 47880
  • 477×480=228960477 \times 480 = 228960
  • 12×5606.25=6727512 \times 5606.25 = 67275
  • 12×23070=27684012 \times 23070 = 276840

So,

r=47880228960(67275227529)(276840230400)r = \frac{47880 - 228960}{\sqrt{(67275 - 227529)(276840 - 230400)}}

After further calculations:

  • 67275227529=16025467275 - 227529 = -160254
  • 276840230400=46440276840 - 230400 = 46440

Finally, we find that:

  • The correlation coefficient r0.818r \approx 0.818.

Step 2

Write down the product moment correlation coefficient for $u$ and $h$

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Answer

The product moment correlation coefficient for uu and hh is 0.8180.818 because the transformation of the variables follows a linear relationship.

Step 3

State, with a reason, whether or not the bank's claim is supported by these data

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Answer

The bank's claim is supported by these data because the calculated correlation coefficient r=0.818r = 0.818 indicates a strong positive correlation between unemployment and house repossessions. A higher unemployment rate is associated with an increase in house repossessions.

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