Explanation:
The curve obtained by joining the points, whose x-coordinates are the upper limits of the class-intervals and y coordinates are corresponding cumulative frequencies is called Ogive.

Ogive:
An ogive is a graph that represents the cumulative frequency distribution of a set of data. It is also known as a cumulative frequency curve. The ogive is constructed by plotting the upper limits of the class-intervals on the x-axis and the corresponding cumulative frequencies on the y-axis. The points are then connected by a smooth curve to give the ogive.

Steps to construct an Ogive:
1. Determine the class-intervals and their respective frequencies.
2. Calculate the cumulative frequencies by adding up the frequencies of each class-interval.
3. Plot the upper limits of the class-intervals on the x-axis.
4. Plot the corresponding cumulative frequencies on the y-axis.
5. Connect the points with a smooth curve.

Uses of Ogive:
1. Determining the median: The ogive can be used to determine the median of a dataset by finding the x-coordinate of the point on the curve that corresponds to the cumulative frequency closest to half of the total frequency.
2. Determining quartiles: The ogive can also be used to determine the lower quartile (Q1) and upper quartile (Q3) by finding the x-coordinates of the points on the curve that correspond to the cumulative frequencies closest to one-fourth and three-fourths of the total frequency, respectively.
3. Estimating percentiles: The ogive can be used to estimate percentiles of a dataset by finding the x-coordinate of the point on the curve that corresponds to the cumulative frequency closest to the desired percentile.

Conclusion:
The curve obtained by joining the points, whose x-coordinates are the upper limits of the class-intervals and y coordinates are corresponding cumulative frequencies is called an ogive. It is a useful tool for visualizing the cumulative frequency distribution of a dataset and can be used to determine measures such as the median, quartiles, and percentiles.