Oh, dude, that's easy. So, like, the thing that divides the lower half of the data into two equal parts is the median. It's like the middle child of the data set, stuck between the rowdy younger half and the more mature upper half. Just think of it as the peacekeeper of the data family, keeping things balanced and fair.
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The main utility of a cumulative frequency curve is to show the distribution of the data points and its skew. It can be used to find the median, the upper and lower quartiles, and the range of the data.
The most important thing in creating intervals for a frequency distribution is that the intervals used must be non-overlapping and contain all of the possible observations. They are often equal intervals, but sometimes unequal ones are used. It all depends on the data.
I assume you're talking about a network. On a token network, all of the computers wait to send data until they have the token. The token is a piece of data that travels around the network (picture all of the computers set up in a circle) giving each one a chance to send their data. After that computer has sent the data, the token moves on to the next. It prevents data collision on the network.
Data Propagation Delay Network+ Guide to Networks
projecting: manipulating data to eliminate columns in a table. Joining: manipulating data to combine two or more tables.