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You will need endpoints of your range (for example age: 12-14, 15-17. The endpoints are 14 and 17).
You will also need the cumulative total of the relative frequencies (add all relative frequencies).
-To find the relative frequency = value over total (ex, age 12-14, 51 have Diabetes, 90 do not. The total of those having diabetes is 3800. So for the relative frequency of ages 12-14, it is 51/3800=0.01342. Do this for all ranges).
-To find the Cumulative Frequency: add all these frequencies (separate for "yes" diabetes and "no" diabetes).
Use endpoints of your range for the x-axis (horizontal axis). Then use the cumulative frequencies as your y-axis (vertical axis).
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What are interpolation of ogive curve?
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
The graph of a cumulative frequency distribution is called?
ogive
Usefullness of ogive curve?
In statistics, the ogive curve is an approximation to the cumulative distribution function. It can be used to obtain various percentiles quickly as well as to derive the probability density function.
What is another name for cumulative frequency polygon?
It is called an ogive.
What are advantage of ogive?
Original information from grouped data can be obtained
