Groued or ungrouped data all used to conclude something,but that conclusion is not 100% accurate,Whatever we use those just to live in this world,so dont bother about it . Groued or ungrouped data all used to conclude something,but that conclusion is not 100% accurate,Whatever we use those just to live in this world,so dont bother about it .
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For ungrouped data.
For ungrouped data, the graph for a random variable (rv), X, is usually a line graph whose horizontal axis is the values that the random variable can take, and whose vertical axis is the number of observations (or outcomes) of the random variable that are less than or equal to that value of the rv. For grouped data the graph is usually a corresponding bar graph.
When data is grouped and each of the intervals or categories has the same relative frequency, then no mode can be calculated. This can happen when the dataset is very limited. If all numbers in a dataset are the same, then it is impossible to calculate a mode, no matter how the data is grouped. Sometimes the level of variation is so much less than our measurement capability that we can not detect variations in variables.
The mode of a set of data is the most frequent value. Sometimes there is more than 1 most frequent value so there is more than one mode. For example our set is { 1,2,3,4,4,5,6,9} the mode is 4 and here is another set {1,2,3,3,4,5,6,6,7} the modes are 3 and 6 and we say the set is bimodal.
One reason would be that you can see trends in the data.