Question:

Let the Standard deviation of \(x_1,x_2\) and \(x_3\) be \(9\) .Then ,the variance of \(3x_1+4,\)  \(3x_2+4 \) and \(3x_3+4\) is 

Updated On: Jun 8, 2024
  • \(243\)

  • \(81\)

  • \(729\)

  • \(9\)

  • \(733\)

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The Correct Option is B

Solution and Explanation

Given that:

Standard deviation of \(x_1,x_2\) and \(x_3\) be .

The variance  of random variables \(3x_1 + 4, 3x_2 + 4\), and \(3x_3 + 4,\) to be found ;

For a random variable \(X\) with standard deviation \(σ\) , the variance of a linear transformation\((aX + b)\), where \('a'\) and \('b'\) are constants and can be calculated as follows:

\(Var(aX + b) = a^2 × Var(X)\)

applying this to all three given variables we get;

For, \(3x_1 + 4: Var(3x_1 + 4)\)

\(= 3^2 × Var(x1) = 9 × 9 = 81\)

For, \(3x_2 + 4: Var(3x_2 + 4)\)

\(= 3^2 × Var(x_2) = 9 × 9 = 81\)

For, \(3x_3 + 4: Var(3x_3 + 4)\)

\(= 3^2 × Var(x3) = 9 × 9 = 81\)

Hence, the variance for the random variable is \(81\) for each of them.(_Ans)

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Concepts Used:

Variance and Standard Deviation

Variance:

According to layman’s words, the variance is a measure of how far a set of data are dispersed out from their mean or average value. It is denoted as ‘σ2’.

Variance Formula:

Read More: Difference Between Variance and Standard Deviation

Standard Deviation:

The spread of statistical data is measured by the standard deviation. Distribution measures the deviation of data from its mean or average position. The degree of dispersion is computed by the method of estimating the deviation of data points. It is denoted by the symbol, ‘σ’.

Types of Standard Deviation:

  • Standard Deviation for Discrete Frequency distribution
  • Standard Deviation for Continuous Frequency distribution

Standard Deviation Formulas:

1. Population Standard Deviation

2. Sample Standard Deviation