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The variance of the first 20 positive in...

The variance of the first 20 positive integral multiples of 4 is equal to

A

532

B

133

C

266

D

600

Text Solution

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The correct Answer is:
To find the variance of the first 20 positive integral multiples of 4, we can follow these steps: ### Step 1: Identify the first 20 positive integral multiples of 4. The first 20 positive integral multiples of 4 are: \[ 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64, 68, 72, 76, 80 \] ### Step 2: Define the formula for variance. The variance \( V \) of a set of numbers is given by the formula: \[ V = \frac{\sigma x_i^2}{n} - \left(\frac{\sigma x_i}{n}\right)^2 \] where: - \( \sigma x_i^2 \) is the sum of the squares of the numbers, - \( n \) is the total number of terms, - \( \sigma x_i \) is the sum of the numbers. ### Step 3: Calculate \( n \). Here, \( n = 20 \) (the number of terms). ### Step 4: Calculate \( \sigma x_i \). The sum of the first 20 multiples of 4 can be calculated as: \[ \sigma x_i = 4 + 8 + 12 + \ldots + 80 = 4(1 + 2 + 3 + \ldots + 20) \] Using the formula for the sum of the first \( n \) natural numbers: \[ 1 + 2 + 3 + \ldots + n = \frac{n(n + 1)}{2} \] For \( n = 20 \): \[ 1 + 2 + 3 + \ldots + 20 = \frac{20 \times 21}{2} = 210 \] Thus, \[ \sigma x_i = 4 \times 210 = 840 \] ### Step 5: Calculate \( \sigma x_i^2 \). Now, we need to calculate the sum of the squares of the first 20 multiples of 4: \[ \sigma x_i^2 = 4^2(1^2 + 2^2 + 3^2 + \ldots + 20^2) = 16(1^2 + 2^2 + 3^2 + \ldots + 20^2) \] Using the formula for the sum of the squares of the first \( n \) natural numbers: \[ 1^2 + 2^2 + 3^2 + \ldots + n = \frac{n(n + 1)(2n + 1)}{6} \] For \( n = 20 \): \[ 1^2 + 2^2 + 3^2 + \ldots + 20^2 = \frac{20 \times 21 \times 41}{6} = 2870 \] Thus, \[ \sigma x_i^2 = 16 \times 2870 = 45920 \] ### Step 6: Substitute into the variance formula. Now we can substitute into the variance formula: \[ V = \frac{\sigma x_i^2}{n} - \left(\frac{\sigma x_i}{n}\right)^2 \] \[ V = \frac{45920}{20} - \left(\frac{840}{20}\right)^2 \] Calculating each part: \[ \frac{45920}{20} = 2296 \] \[ \frac{840}{20} = 42 \quad \text{and} \quad 42^2 = 1764 \] Thus, \[ V = 2296 - 1764 = 532 \] ### Final Answer: The variance of the first 20 positive integral multiples of 4 is \( \boxed{532} \). ---
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