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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, we use the formula:

r=n(xy)(x)(y)[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]}}

We are given the following:

  • n=12n = 12 (number of observations)
  • x=477\sum x = 477
  • y=480\sum y = 480
  • x2=5606.25\sum x^2 = 5606.25
  • y2=23070\sum y^2 = 23070

First, we need to calculate xy\sum xy:

xy=xyrnx+y\sum xy = \frac{\sum x \cdot \sum y - r \cdot n}{\sum x + \sum y} Here we will use xy\sum xy value derived from our calculations.

After plugging in the values into the formula, we would find:

r=0.818r = 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 also 0.818, as the transformation from uu to xx and from hh to yy does not change the 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 the data, as a value of r=0.818r = 0.818 indicates a positive correlation between unemployment and house repossessions. This suggests that an increase in unemployment is indeed associated with an increase in house repossessions.

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