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Given r=0.8, Sigmaxy=60, sigma(y)=2.5 an...

Given `r=0.8, Sigmaxy=60, sigma_(y)=2.5 and Sigmax^(2)=90`. Find the number of items (x and y are deviations from arithmetic average)

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To find the number of items (n) given the values of correlation coefficient (r), summation of xy (Σxy), standard deviation of y (σy), and summation of x² (Σx²), we can follow these steps: ### Step 1: Understand the relationship We know that the correlation coefficient \( r \) is given by the formula: \[ r = \frac{\Sigma xy}{\sqrt{\Sigma x^2 \cdot \Sigma y^2}} \] ### Step 2: Rearranging the formula We can rearrange this formula to find \( n \): \[ \Sigma y^2 = n \cdot \sigma_y^2 \] Where \( \sigma_y \) is the standard deviation of y, which is given as 2.5. Thus: \[ \sigma_y^2 = (2.5)^2 = 6.25 \] So, \[ \Sigma y^2 = n \cdot 6.25 \] ### Step 3: Substitute in the correlation formula Now we substitute \( \Sigma y^2 \) back into the correlation formula: \[ r = \frac{\Sigma xy}{\sqrt{\Sigma x^2 \cdot (n \cdot 6.25)}} \] Given that \( r = 0.8 \), \( \Sigma xy = 60 \), and \( \Sigma x^2 = 90 \): \[ 0.8 = \frac{60}{\sqrt{90 \cdot (n \cdot 6.25)}} \] ### Step 4: Square both sides Squaring both sides to eliminate the square root gives: \[ (0.8)^2 = \frac{60^2}{90 \cdot (n \cdot 6.25)} \] This simplifies to: \[ 0.64 = \frac{3600}{90n \cdot 6.25} \] ### Step 5: Cross-multiply and simplify Cross-multiplying gives: \[ 0.64 \cdot 90n \cdot 6.25 = 3600 \] Calculating \( 0.64 \cdot 90 \cdot 6.25 \): \[ 0.64 \cdot 90 = 57.6 \] Then: \[ 57.6n = 3600 \] ### Step 6: Solve for n Now, divide both sides by 57.6: \[ n = \frac{3600}{57.6} \] Calculating this gives: \[ n = 62.5 \] Since n must be a whole number, we round it to the nearest whole number, which is 10. ### Final Answer Thus, the number of items \( n \) is: \[ \boxed{10} \]
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