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Does the graph above show a relation, a function, both a relation and a function, or neither a relation nor a function?

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Q: Which of these data sets represents a function?
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What is a grouped frequency distribution used for?

To simplify analyses for large data sets. To simplify analyses for large data sets. To simplify analyses for large data sets. To simplify analyses for large data sets.


What is data sets?

They are groups of data.


Why f represents the graph of a function?

Because f represents a function.


When is a key necessary on a graph?

A key can make it easier to interpret the data sets that each part of the graph represents, especially if there is no room in the graph area for labels.


Will a set of data always have a mode?

No, because sometimes sets of data can have different numbers and other sets of data can have modes in them.


Does all data have a mean median or mode?

No, not all data sets have a mode but all data sets have a mean and median.


What are box-n-whisker plots used for?

A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.A basic summary of data or a simple comparison of a few sets of data.


How do you find data sets for topics?

Hey! You can find data sets for a variety of topics at infochimps.com. Enjoy!


When should relative frequencies be used when comparing two data sets?

When comparing large data sets.


What is a data marker...?

Represents value data in graphical data


The description of the relationship between two data sets?

Comparing the relationship of two data sets is needed to see which of the two sets have more life distribution. Two data sets involve the use of simple plotting and contour plots.


What is data concurrency?

Data concurrency is used for organizing data sets. It helps keep the data sets for replicated and the official source of data uniform by using and updating multiple databases simultaneously.