Central dispersion refers to the extent to which numerical data varies from the average value. It is important because it measures how concentrated or spread out the data is. There are different types of central dispersion including range, midrange, quartile deviation, mean deviation, standard deviation, and variance, which are statistical measures used to quantify the spread of a data set's values around the average.

1. CENTRAL DISPERSION

2. CENTRAL DISPERSION
Statistical dispersion means the extent to which numerical data
is likely to vary about an average value.

3. WHY CENTRAL
DISPERSION IS
IMPORTANT?

5. SERIES
It is a systematic flow of data in a logical or specific order.

6. INDIVIDUAL SERIES DISCRETE SERIES

7. CONTINUOUS SERIES:- It is two types.
INCLUSIVE SERIES EXCLUSIVE SERIES

8. RANGE

14. MIDRANGE

16. QUARTILE DEVIATION

24. MEAN DEVIATION

27. STANDARD DEVIATION AND VARIANCE

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