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### Graphical Representation of Statistical data

• 1. Presentation on GRAPHICAL REPRESENTATION OF STATISTICAL DATA BY MD SAMSER ALI 15BEDB042/KC
• 2. Meaning Of Graphical Representation Of Data  A picture is said to be more effective than words for describing a particular thing.  A graphic representation is the geometrical image of a set of data .  It is a mathematical picture.  It enables us to think about a statistical problem in visual terms.  It is an effective and economic device for the presentation , understanding and interpretation of the collected data.
• 3. IMPOTANCE OF GRAPHICAL REPRESENTATION  It is used to make the data understandable to common man.  It helps in easy and quick understanding of data.  Data displayed by graphical representation can be memorised for a long time.  Can be compared at a glance.
• 4. TYPES OF GRAPHICAL REPRESENTATION Ungrouped Data Line Graph Bar Graph Pie Diagram Or Circle Graph Grouped Data Histogram Frequency Polygon Frequency Curve
• 5. Line graph: line graphs are simple Mathematical graphs that are drawn on the graph paper by plotting the data connecting one variable on the horizontal X- axis and other variable of data on the vertical Y-axis. EXAMPLE: Time 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm No of People 2 6 10 22 15 5 4 4 3
• 6. Bar graph: In bar graphs data is represented by bars. The bars can be made in any direction i.e. vertical or horizontal. The bars are taken of equal weight and start from a common horizontal or vertical line and their length indicates the corresponding values of statistical data. When do we use bar diagram ?  When the data are given in whole numbers.  When the data are to be compared easily.
• 7. How To Make A Bar Graph ?
• 8. Months Jan Feb Mar Apr May June Jul Aug No. of buses manufacture d 600 800 1000 1200 1400 1600 1800 1800
• 9. Pie diagram: It is a circle in which different components are represented through the sections or portions of a circle. To draw a pie diagram, first the value of each category is expressed as a percentage of the total and then the angle 360⁰ is divided in the same percentages. Then at the centre of a circle these angle are drawn simultaneously starting from a particular radius. In this way we get a set of sectorial areas proportional to the values of the items.
• 10. When do we use pie diagram?  When the data are given in percentage.  When different aspect of a variable are to be displayed.  When the data are to be compared normally.
• 11. HOW TO MAKE A PIE DIAGRAM ?
• 12. EXAMPLE: (Table: the result of class 10 of a school) Marks Division First Second Third Failures % of student 20% 56% 20% 4%
• 13. 201.6 72 14.4 72 second div. first div. failure third div. Marks Division % of student Approx . Angle in degree First 20% Second 56% Third 20% Failures 4%
• 14. HISTOGRAM:  A histogram is essentially a bar graph of a frequency distribution.  It can be constructed for equal as well as unequal class intervals.  Area of any rectangle of a histogram is proportional to the frequency of that class.
• 15. When do we use histogram ? When data are given in the form of frequencies. When class interval has to be displayed by a diagram. When we need to calculate the Mode of a distribution graphically.
• 16. How to make Histogram ?
• 17. Histogram for equal class width: Class Interval (Height in cm) Freq . 155-160 3 160-165 2 165-170 9 170-175 7 175-180 10 180-185 5 185-190 5 190-195 1
• 18. Histogram for unequal class width: Class bound ary Fre que ncy Class Widt h Frequency Density 0-10 8 10 10-15 6 5 15-20 12 5 20-24 14 4 24-35 7 11 35-40 3 5
• 19. Calculation of MODE through Histogram Mode = OQ Mode = 35
• 20. 1st straight line : 𝑦−20 𝑥−40 = 25−20 30−40 CALCULATION 0F MODE  40,20 and (30,25)  (30,20) and (40,25) => 𝑦 − 20 = 5 10 ∗ 𝑥 − 40 ……………. (1) 2nd Straight line : 𝑦 − 20 𝑥 − 30 = 25 − 20 40 − 30 => 𝑦 − 20 = − 5 10 ∗ 𝑥 − 30 …………(2) Solving equations (1) and (2) , we get 𝒙 = 𝟑𝟓
• 21. FREQUENCY PLOGON: A frequency polygon is essentially a line graph .  We can get it from a histogram, if the mid points of the upper bases of the rectangles are connected by straight lines.  But it is not essential to plot a histogram first to draw it.  We can construct it directly from a given frequency distribution.
• 22. When do we use Frequency polygon? o When data are given in the form of frequencies. oWhen two or more groups have to be displayed in one diagram. o When two or more groups are to be compared.
• 23. How to draw frequency polygon? Height in Cm (class interval) Mid value frequen cy 150-154 152 10 154-158 156 15 158-162 160 20 162-166 164 12 166-170 168 8
• 24. Two or more groups can be compared through Frequency Polygon
• 25. FREQUENCY CURVE:  Frequency curve is another type of graphical representation of data.  When then top points of a frequency polygon are joined not by straight lines but by curved ones.  Frequency polygon is drawn using scale while while Frequency curve is drawn using free hand.
• 26. When the number of class intervals are very large i.e.,width of the class intervals are very small and the total number of sample values be increased indefinitely. When do we use frequency curve ?
• 28. CONCLUSION So we can conclude that statistical data may be presented in a more attractive form with the help of some graphic aids i.e., pictures and diagrams which carries a lot of communication power and the task of understand and interpretation of data becomes simple, accurate and practicable.
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