Hi.
Yet again, due to CRAP organisation and notes from lecturers at my college, i am again, stuck on a question.
My problem is that all the information on the matter i get is conflicting.
I must describe, in statistics, what "Class Interval", "Class Size", "Frequency Distribution" & "Relative Frequency".
After ALOT of sifting through countless pages of crap, i think i may have gotten the right descriptions. Heres what ive put for them:
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Class Intervals
To allow a more readable form of data representation, we use class intervals.
Lets say that we ask 30 people to "vote" for a number between 0 & 50. Obviously, not every number will have a vote, and some might be voted for more than once. So, rarther than display the results for each number, we catagorise them. For example, 12 people might vote for numbers between 0 & 10. So, we make a group "0->10". And then "11-20", "21-30", ect;. Each of these groups are called Intervals.
Class Size
Class size is the number of intervals. Lets say that there are over 500 results, and for the purpose of the data representation, that data needs shortening into 10 Intervals, this means that that particular data, will have a class size of 10.
Im still trying to find a decent description of Frequency Distribution & Relative Frequency that i understand.
------------------------------------
Is the above correct?
Thanks in advance guys.
Yet again, due to CRAP organisation and notes from lecturers at my college, i am again, stuck on a question.
My problem is that all the information on the matter i get is conflicting.
I must describe, in statistics, what "Class Interval", "Class Size", "Frequency Distribution" & "Relative Frequency".
After ALOT of sifting through countless pages of crap, i think i may have gotten the right descriptions. Heres what ive put for them:
------------------------------------
Class Intervals
To allow a more readable form of data representation, we use class intervals.
Lets say that we ask 30 people to "vote" for a number between 0 & 50. Obviously, not every number will have a vote, and some might be voted for more than once. So, rarther than display the results for each number, we catagorise them. For example, 12 people might vote for numbers between 0 & 10. So, we make a group "0->10". And then "11-20", "21-30", ect;. Each of these groups are called Intervals.
Class Size
Class size is the number of intervals. Lets say that there are over 500 results, and for the purpose of the data representation, that data needs shortening into 10 Intervals, this means that that particular data, will have a class size of 10.
Im still trying to find a decent description of Frequency Distribution & Relative Frequency that i understand.
------------------------------------
Is the above correct?
Thanks in advance guys.
