Data entry is inputting almost any type of info. into a computer with a keyboard-such as billing clients, creating mailing lists, etc etc
Ordinal data is data that can be ranked, but you can not say anything about how far apart the data entries are. You can count and order it but not measure difference between data entries. For example if we talk about teams, one can be first, the next second etc, but that tells us nothing about how far ahead team 1 is. In many surveys they use agree or disagree and you rank your answer from 1 to 5.
An example of quantitative data would be the number of people born in 1 hour.
Add it all together, and then divide it by the number of data entries that there are.
Memo
Wage and Tax Statement
Pretty much a synonym for "scams".
The benefit for your data entry people is to simplify data entry.
Data Reference
One advantage of data redundancy is increased data availability and fault tolerance. By storing the same data in multiple locations, the system can continue to function even if one copy of the data is lost or corrupted. Data redundancy also helps improve data retrieval speeds by allowing data to be accessed from multiple sources simultaneously.
can be used to collect and organize data for preparing (i) adjusting entries, (ii) closing entries, and (iii) financial statements.
Just put the data in order and look at the biggest and smallest data entries.
Dynamic ARP table entries are created whne a client makes an ARP request that cannot be satisfied by data already in the ARP table.