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 .
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.
A box and whiskers plot, A frequency plot (ungrouped) A cumulative frequency plot (ungrouped), A grouped frequency of cu freq plot should give a number close to (and larger than) the greatest value.
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.
The main need to work with grouped data was to reduce the number of data points that need to be stored and processed in calculation. With modern computers the storage and computation are not likely to be issues in many situations and so there is no need to use grouped data.
Are computers better data processors than humans
Specific data gives you more information and is more reliable.
its more data
It is better than keeping unreliable data!
Rather than have frequencies of observations allocated to each observed value, grouped data allocates them to a range (or group) of values.
to analysis the theory perfectly and give concerned answers
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.
you can visualize the graph better than the table. ---------------------------------------------------- A data can make A PATTERN much easier to recognize and understand.