Calculate Karl Pearson’s coefficient of correlation from the data given below. [3] Birth Rate (X) 24 26 32 33 35 30 Death Rate (Y) 15 20 22 24 27 24
Answers
Answer:
25and 20
Explanation:
24 26 32 33 35 30 Death Rate (Y) 15 20 22 24 27 24
Answer:
The value is negative, it indicates a strong negative correlation between the two variables, i.e., as the Birth Rate increases, the Death Rate decreases, and vice versa.
Explanation:
To calculate Karl Pearson's coefficient of correlation, we need to use the formula:
r = (NΣXY - ΣXΣY) / sqrt((NΣX^2 - (ΣX)^2)(NΣY^2 - (ΣY)^2))
where N is the number of data points, ΣXY is the sum of the product of X and Y, ΣX is the sum of X, ΣY is the sum of Y, ΣX^2 is the sum of the squares of X, and ΣY^2 is the sum of the squares of Y.
Given data:
Birth Rate (X) - 24 26 32 33 35 30
Death Rate (Y) - 15 20 22 24 27 24
Using the given formula, we get:
N = 6
ΣX = 180
ΣY = 132
ΣXY = 817
ΣX^2 = 6430
ΣY^2 = 3938
Substituting these values into the formula, we get:
r = (6 * 817 - 180 * 132) / sqrt((6 * 6430 - (180)^2)(6 * 3938 - (132)^2))
r = (4902 - 23760) / sqrt((38580 - 32400)(23628 - 17424))
r = -0.879
Therefore, Karl Pearson’s coefficient of correlation between Birth Rate and Death Rate is -0.879. Since the value is negative, it indicates a strong negative correlation between the two variables, i.e., as the Birth Rate increases, the Death Rate decreases, and vice versa.
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