Chapter Name : Statistics |
Sub Topic Code : 104_11_15_04_01 |
Topic Name : Mean Deviation |
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Sub Topic Name : Mean Deviation |
• Statistics deals with data collected for specific purposes. • In order to have better data interpretation we should know how data is scattered and this measure is known as Measure of Dispersion. • Mean deviation is a measure of dispersion and it shows the amount of deviation that occurs around mean score.
• Knowledge of representing data graphically and in tabular form. • Knowledge of measure of dispersion.
You will observe that excel is an easy tool to calculate mean of data.
The data 100, 98, 90, 120 shows number of visitors of a website. Find absolute mean deviation of data.
Key Words | Definitions (pref. in our own words) |
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Statistics | Statistics is a method of gathering, analyzing and making conclusions from data. |
Measure of Dispersion | Measure of dispersion is describing spread of data. |
Mean deviation | Mean deviation of data is the average distance between each data value and mean. |
Gadgets | How it can be used |
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Excel spread sheet | Collect data of runs of two different batsmen and enter in excel spread sheet. After the data has been entered place the cursor place the cursor where you wish to have mean of data and click mouse button. Move the cursor to function wizard button and click on it. A statistical dialog box will open select average. |
Mean deviation is helpful in data analysis and data interpretation. Data analysis is used in all sciences, business.
Look for two maximum used commodities in your house and make two data sets. Find absolute mean deviation?
Examples | Explainations |
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Finding polyester decay. | A researcher buried polyester strips in soil for different lengths of time, then dug up the strips and measured force required to break them. Lower strengths means fabric has decayed. He made data on breaking strengths in pounds. The time taken for polyester decay can be found out by taking difference of means of data. |
Mean deviation is average distance between each data value and mean.
To get more representative idea about spread of data we use mean deviation. The mean deviation shows the amount of deviation that occurs around a mean score.
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