![]() Equal class intervals are preferred in frequency distribution, while unequal class intervals (for example logarithmic intervals) may be necessary in certain situations to produce a good spread of observations between the classes and avoid a large number of empty, or almost empty classes. The classes all taken together must cover at least the distance from the lowest value (minimum) in the data to the highest (maximum) value. Generally the class interval or class width is the same for all classes. ![]() The ideal number of classes may be determined or estimated by formula: number of classes = C = 1 + 3.3 log n (assuming the class intervals are the same for all classes). ![]() Too many classes or too few classes might not reveal the basic shape of the data set, also it will be difficult to interpret such frequency distribution. Frequency distributions are used for both qualitative and quantitative data. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts. ![]() It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Different ways of depicting frequency distributionsĪ frequency distribution shows a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |