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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 compute the product moment correlation coefficient, 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]}}

  1. First, determine n=12n = 12 (the number of months).
  2. Calculate xy\sum xy using the transformation:
    • Since yy is derived from hh, we can backtrack to calculate hh. Using the values in the summary, we can derive values for xx and yy.
  3. Substitute the computed values into the formula and simplify to find rr.
  4. The final result is:
    • 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 the same as for xx and yy, due to the linear transformation used. Therefore, it is:

r=0.818r = 0.818

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. Since the correlation coefficient r=0.818r = 0.818, which indicates a strong positive correlation, it implies that an increase in unemployment is associated with an increase in house repossessions. Given that r>0.8|r| > 0.8, there is enough evidence to support the claim.

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