Question:

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

\(x_i\)606162636465666768
\(f_i\)21122925121045

Updated On: Oct 20, 2023
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Solution and Explanation

The data is obtained in tabular form as follows.

\(x_i\)\(f_i\)\(fx_i=\frac{x_i-64}{1}\)\(y_1^2\)\(f_iy_i\)\(f_iy_1^2\)
602-416-832
611-39-39
6212-24-2448
6329-11-2929
64250000
6512111212
6610242040
674391236
6854162080
 100220 0286

Mean, \(\bar{x}=A\frac{\sum_{i=1}^9f_ix_i}{n}×h=64+\frac{0}{100}×1=64+0=64\) 

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

\(=\frac{1}{100^2}[100×286-0]\)

\(=2.86\)

\(∴\,standard\,deviation\,(σ)=√2.86=1.69\)

 

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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