Question:

Find the mean, variance and standard deviation using short-cut method. 

Height in cms70-7575-8080-8585-9090-9595-100100-105105-110110-115
No. of children3477159663

Updated On: Oct 20, 2023
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Solution and Explanation

Class IntervalFrequency \(f_i\)\(mid-point\,x_i\)\(y_i=\frac{x_i-92.5}{5}\)\(f_iy_i\)\(f_i^2\)\(f_iy_1^2\)
70-75372.5-4-121648
75-80477.5-3-12936
80-85782.5-2-14428
85-90787.51-717
90-951592.50000
95-100997.51999
100-1056102.52121224
105-1106107.53181854
110-1153112.54121248
 60  66254

Mean, \(\bar{x}=A\frac{\sum_{i=1}^9f_ix_i}{n}×h=92.5+\frac{6}{60}×5=92.5+0.5=93\) 

Variance (σ2) = \(\frac{h^2}{N^2}[N\sum_{i=1}^9f_iy_i^2-(\sum_{i=1}^9f_iy_i)^2]\)

\(=\frac{(5)^2}{(60)^2}[60×254-(6)^2]\)

\(=\frac{25}{3600}(15204)=105.58\)

\(Standard\,\,deviation\.(σ) =√105.58=10.27\)

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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