Question:

Let, the coefficient of variation of two datasets be \(50 \) and \(75\) ,respectively and the corresponding variances be \(25\) and \(36\),respectively.Also let \(x_1\) and \(x_2\) denote the corresponding sample means. Then \(x_1+x_2\) is ?

Updated On: Jun 8, 2024
  • \(2\)

  • \(10\)

  • \(18\)

  • \(16\)

  • \(20\)

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The Correct Option is C

Solution and Explanation

Given data:

Let, the Co-efficient of variation of  1st data = \(CV_1=50\)

Let, the Co-efficient of variation of  2nd data = \(CV_2=75\)

and Variance \((σ_1^{2})=25\) . So, \( σ_1=5\)

        Variance \((σ_2^{2})=36\) . So, \( σ_1=6\)

We know that,

\(CV_1=\dfrac{σ_1}{x_1} × 100\)

\(⇒ x_1=\dfrac{5}{CV_1} × 100\)

\(⇒ x_1=\dfrac{5}{50} × 100\)

\(⇒ x_1=10\)

Similarly solving for 2nd data we get

\(⇒x_2=8\)

Hence , \(x_1+x_2=10+8=18\) (_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