Measures of Variation
measure of variation-

Measure of Variation

📊 Statistics Tutorial

Range, Variance & Standard Deviation
for Grouped Data

A step‑by‑step mathematical guide using frequency distributions

📋 Problem & Source Data

A survey of 160 students recorded weekly study times (hours). The grouped frequency distribution is:

Class Interval (Hours) Frequency (\(f\)) Class Mark (\(x\)) \(f \cdot x\) \((x – \bar{x})^2\) \(f(x – \bar{x})^2\)
30 – 401535525656.649,849.61
40 – 502045900244.144,882.81
50 – 6035551,92531.641,107.42
60 – 7040652,60019.14765.63
70 – 8050753,750206.6410,332.03
Total \(\sum f = n = 160\) — \(\sum fx = 9,700\) — \(\sum f(x – \bar{x})^2 = 26,775\)
📐 Step 0: Grouped Mean (\(\bar{x}\))

First, compute the sample mean for grouped data:

$$\bar{x} = \frac{\sum f \cdot x}{\sum f} = \frac{9,700}{160} = 60.625 \text{ hours}$$
📏 Step 1: Range

For grouped data, range = upper limit of highest class − lower limit of lowest class:

$$\text{Range} = U_{\text{max}} – L_{\text{min}} = 80 – 30 = 50 \text{ hours}$$
📉 Step 2: Sample Variance (\(s^2\))

Using the grouped formula with \(n-1\) degrees of freedom:

$$s^2 = \frac{\sum f(x – \bar{x})^2}{n – 1} = \frac{26,775}{160 – 1} = \frac{26,775}{159} \approx 168.397$$
📊 Step 3: Standard Deviation (\(s\))

Take the positive square root of the variance:

$$s = \sqrt{s^2} = \sqrt{168.397} \approx 12.977 \text{ hours}$$
⚡ Quick Verification Tool

Dynamically re‑compute all figures from the raw grouped data:

✨ MathJax renders LaTeX • interactive JS verifies

Comments

No comments yet. Why don’t you start the discussion?

Leave a Reply

Your email address will not be published. Required fields are marked *