STAM101 :: Lecture 03 :: Graphical representation – Histogram – Frequency polygon and Frequency curve
                  
				
Graphs
				  Graphs are charts consisting of points, lines and curves. Charts are  drawn on graph sheets. Suitable scales are to be chosen for both x and y axes,  so that the entire data can be presented in the graph sheet. Graphical  representations are used for grouped quantitative data.
  Histogram
				  When the data are  classified based on the class intervals it can be represented by a histogram.  Histogram is just like a simple bar diagram with minor differences. There is no  gap between the bars, since the classes are continuous. The bars are drawn only  in outline without colouring or marking as in the case of simple bar diagrams.  It is the suitable form to represent a frequency distribution.
				  Class intervals are  to be presented in x axis and the bases of the bars are the respective class  intervals. Frequencies are to be represented in y axis. The heights of the bars  are equal to the corresponding frequencies.
  Example
				  Draw a histogram for the following data 
Seed Yield (gms)  | 
                    No. of Plants  | 
                  
2.5-3.5  | 
                    4  | 
                  
3.5-4.5  | 
                    6  | 
                  
4.5-5.5  | 
                    10  | 
                  
5.5-6.5  | 
                    26  | 
                  
6.5-7.5  | 
                    24  | 
                  
7.5-8.5  | 
                    15  | 
                  
8.5-9.5  | 
                    10  | 
                  
9.5-10.5  | 
                    5  | 
                  
                    Frequency Polygon
				  The frequencies of  the classes are plotted by dots against the mid-points of each class. The  adjacent dots are then joined by straight lines. The resulting graph is known  as frequency polygon.
  Example
			    Draw frequency polygon for the following data 
Seed Yield (gms)  | 
                    No. of Plants  | 
                  
2.5-3.5  | 
                    4  | 
                  
3.5-4.5  | 
                    6  | 
                  
4.5-5.5  | 
                    10  | 
                  
5.5-6.5  | 
                    26  | 
                  
6.5-7.5  | 
                    24  | 
                  
7.5-8.5  | 
                    15  | 
                  
8.5-9.5  | 
                    10  | 
                  
9.5-10.5  | 
                    5  | 
                  

Frequency curve
				  The procedure for  drawing a frequency curve is same as for frequency polygon. But the points are  joined by smooth or free hand curve.
  Example
				  Draw frequency curve for the following data 
Seed Yield (gms)  | 
                    No. of Plants  | 
                  
2.5-3.5  | 
                    4  | 
                  
3.5-4.5  | 
                    6  | 
                  
4.5-5.5  | 
                    10  | 
                  
5.5-6.5  | 
                    26  | 
                  
6.5-7.5  | 
                    24  | 
                  
7.5-8.5  | 
                    15  | 
                  
8.5-9.5  | 
                    10  | 
                  
9.5-10.5  | 
                    5  | 
                  

                    Ogives
				  Ogives are known  also as cumulative frequency curves and there are two kinds of ogives. One is  less than ogive and the other is more than ogive.
Less than ogive: Here the cumulative frequencies are plotted against the upper  boundary of respective class interval.            
                    Greater than ogive: Here the cumulative frequencies are plotted against the lower  boundaries of respective class intervals. 
                    Example
Continuous Interval  | 
                    Mid Point  | 
                    Frequency  | 
                    < cumulative Frequency  | 
                    > cumulative frequency  | 
                  
0-10  | 
                    5  | 
                    4  | 
                    4  | 
                    29  | 
                  
10-20  | 
                    15  | 
                    7  | 
                    11  | 
                    25  | 
                  
20-30  | 
                    25  | 
                    6  | 
                    17  | 
                    18  | 
                  
30-40  | 
                    35  | 
                    10  | 
                    27  | 
                    12  | 
                  
40-50  | 
                    45  | 
                    2  | 
                    29  | 
                    2  | 
                  
Boundary values
				
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