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).
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
ogive
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.
It is called an ogive.
Original information from grouped data can be obtained
Ogive is an free hand uprising curve
First, get a pencil, some paper and a stencil of an Ogive. Then you fill in the stencil. Job done
yes. An ogive is also known as a cumulative frequency graph.
An ogive is a cumulative relative frequency diagram. Interpolation is definiting the midpoint (50%) of this line
The ogive never close because they represent non-decreasing functions, and polygon you close it.
the intersection of less and more than ogive gives us the median of the following data.. but the median is not accurate as we draw the free hand cumulative graph..
The y-axis of an ogive is always the cumulative frequencies while the x-axis is the class boundaries.
Ogive
OGIVE
ogive
cumulative frequency graph
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.