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The variance of first 10 multiples of 3 ...

The variance of first 10 multiples of 3 is

A

64.25

B

54.25

C

70.25

D

74.25

Text Solution

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The correct Answer is:
To find the variance of the first 10 multiples of 3, we will follow these steps: ### Step 1: Identify the first 10 multiples of 3 The first 10 multiples of 3 are: \[ 3, 6, 9, 12, 15, 18, 21, 24, 27, 30 \] ### Step 2: Calculate the sum of these multiples We can use the formula for the sum of an arithmetic series: \[ S_n = \frac{n}{2} \times (a + l) \] where: - \( n \) = number of terms = 10 - \( a \) = first term = 3 - \( l \) = last term = 30 Calculating: \[ S_{10} = \frac{10}{2} \times (3 + 30) = 5 \times 33 = 165 \] ### Step 3: Calculate the mean The mean (\( \bar{x} \)) is given by: \[ \bar{x} = \frac{\sum x_i}{n} \] Substituting the values: \[ \bar{x} = \frac{165}{10} = 16.5 \] ### Step 4: Calculate the sum of squares of the multiples We need to calculate: \[ \sum x_i^2 = 3^2 + 6^2 + 9^2 + 12^2 + 15^2 + 18^2 + 21^2 + 24^2 + 27^2 + 30^2 \] Calculating each square: \[ = 9 + 36 + 81 + 144 + 225 + 324 + 441 + 576 + 729 + 900 \] Adding these values: \[ = 9 + 36 + 81 + 144 + 225 + 324 + 441 + 576 + 729 + 900 = 4035 \] ### Step 5: Calculate the variance The formula for variance (\( \sigma^2 \)) is: \[ \sigma^2 = \frac{\sum x_i^2}{n} - \bar{x}^2 \] Substituting the values: \[ \sigma^2 = \frac{4035}{10} - (16.5)^2 \] Calculating: \[ = 403.5 - 272.25 = 131.25 \] ### Final Answer The variance of the first 10 multiples of 3 is: \[ \boxed{131.25} \]
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