Question:

Find the mean and variance for the data

\(x_i\)62939798102104106
\(f_i\)3232633

Updated On: Oct 20, 2023
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Solution and Explanation

The data is obtained in tabular form as follows.

\(x_i\)\(f_i\)\(fx_i\)\((x_i-\bar{x})\)\((x_i-\bar{x})^2\)\(f_i(x_i-\bar{x})^2\)\(f_i(x_i-\bar{x})\)
923276864192192
9321867499898
973291392727
9821962488
1026612242424
10433124164848
1093327981243243
 322200  640640

Here, N = 22, \(\sum_{i=1}^7f_ix_i=2200\)

\(∴\bar{x}=\frac{1}{N}\frac{\sum_{i=1}^7f_ix_i}{n}=\frac{1}{22}×2200=100\)

Variance(σ2) = \(\frac{1}{n}\sum_{i=1}^7f_i(x_i-\bar{x})^2=\frac{1}{22}×640=29.09\)

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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