Graphical Representation for Calculating Partition Values

The correct answer is option 'B' i.e. Ogive Curve.

Ogive Curve:

An ogive curve is a graph that represents the cumulative frequency distribution of a set of data. It is a graphical representation of the cumulative frequency distribution. The ogive curve is also known as the cumulative frequency polygon.

Calculation of Partition Values:

Partition values can be calculated from the ogive curve. The partition values are the values that divide the data set into equal parts. For example, if we divide a data set into four equal parts, then the partition values are the values that divide the data set into these four parts.

Partition values can be calculated from the ogive curve by the following steps:

- Plot the ogive curve for the given data set.
- Determine the total frequency of the data set.
- Determine the cumulative frequency for each data point on the ogive curve.
- Determine the partition values by dividing the total frequency by the number of equal parts required and then finding the corresponding data value on the ogive curve.

For example, if we need to divide a data set into four equal parts, we first find the total frequency of the data set. Then we divide the total frequency by four to get the frequency for each part. We then find the data value on the ogive curve corresponding to this frequency. This data value is the partition value for that part.

Conclusion:

Hence, the ogive curve is the graphical representation from which we can calculate partition values.

Less than and more than cumulative frequency are drawn into Ogive curves. Partition value such as quartile,decile, percentile can be calculated from it