You need to indicate the conditions.
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.
They are groups 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.A basic summary of data or a simple comparison of a few sets of data.
Each outlier is a single point in the outcome space.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
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.
Suppose you plotted the same pairs of variables from two data sets on the same scattter plot, perhaps representing the two data sets in distinct colours. Then if the data sets differed sufficiently in standard deviation you would notice greater scatter or spread in one of them.
They are groups of data.
No, because sometimes sets of data can have different numbers and other sets of data can have modes in them.
No, not all data sets have a mode but all data sets have a mean and median.
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.
When comparing large data sets.
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Each outlier is a single point in the outcome space.
If the skewness is different, then the data sets are different.Incidentally, there is one [largely obsolete] definition of skewness which is in terms of the mean and median. Under that definition, it would be impossible for two data sets to have equal means and equal medians but opposite skewness.
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.
dependent. because this set of numbers is dependent on what is put into the data table.