Methods of data presention
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Transcript of Methods of data presention
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METHODS OF DATA PRESENTATION
DR. VAIBHAV GUPTA
MPH 1st year Student
Dept. of community medicine
JSSMC
27/03/13
Moderated by: Mrs. Vidyalaxmi
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Types of Data
Types of
Data
Quantitative
Data
Qualitative
Data
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Types of Data
Quantitative data are measurements that are recorded on a naturally occurring numerical scale.
Exp. Height in cm. ,weight in kg. ,blood pressure (mm/Hg)Qualitative data are measurements that cannot be measured on a natural numerical scale; they can only be classified into one of a group of categories. Exp . Sex, tall or short, blood group
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Presentation of data
• Frequency distribution table
• Graphic&Diagrametic presentation
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Class Frequency, f
1 – 4 4
5 – 8 5
9 – 12 3
13 – 16 4
17 – 20 2
Frequency Distributions
A frequency distribution is a table that shows classes or intervals of data with a count of the number in each class. The frequency f means the number of times a certain value of variable is repeated.
Frequencies
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Class Frequency, f
1 – 4 4
5 – 8 5
9 – 12 3
13 – 16 4
17 – 20 2
Class width
The class width is the distance between lower (or upper) limits of consecutive classes.
The class width is 3.
4 – 1 = 38 – 5 = 3
12 – 9 = 313-16=3
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Guidelines1. Condense the data by classifying them in to groups or
classes called as class intervals..2. It is best to select class intervals of equal size.3. Find the class width 4. Find the class limits. You can use the minimum entry
as the lower limit of the first class. To find the remaining lower limits, add the class width to the lower limit of the preceding class. Then find the upper class limits.
5. Make a tally mark for each data entry in the row of the appropriate class.
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CONT………..6. Count the tally marks to find the total frequency f for
each class.
7. Class limits are specially started either inclusive or exclusive manner.
8. Inclusive manner- 45-49;50-54;55-59….
9. Excusive manner-45-50;50-55;55-60….
10.Interval may be represented by midpoints of class interval.
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Constructing a Frequency Distribution
18 20 21 27 29 20
19 30 32 19 34 19
24 29 18 37 38 22
30 39 32 44 33 46
54 49 18 51 21 21
Example:
The following data represents the ages of 30 students in a statistics class. Construct a frequency distribution that has five classes.
Ages of Students
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Constructing a Frequency Distribution
Example continued:
250 – 57342 – 49434 – 41826 – 33
1318 – 25 Tally Frequency, fClass
30f
Number of
students
Ages
Check that the sum
equals the number in the sample.
Ages of Students
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Midpoint
The midpoint of a class is the sum of the lower and upper limits of the class divided by two. The midpoint is sometimes called the class mark.
Midpoint = (Lower class limit) + (Upper class limit)2
Frequency, fClass Midpoint41 – 4
Midpoint = 1
24 5
2 2.5
2.5
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Relative Frequency
ClassFrequency,
f
Relative Frequenc
y
1 – 4 4
The relative frequency of a class is the portion or percentage of the data that falls in that class. To find the relative frequency of a class, divide the frequency f by the sample size n.
Relative frequency = Class frequencySample size
Relative frequency 841
0.222
0.222
fn
18f fn
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Cumulative Frequency
The cumulative frequency of a class is the sum of the frequency for that class and all the previous classes.
3028252113
Total number of students
++++50 – 57 2
348
13
42 – 4934 – 4126 – 3318 – 25
Frequency, fClass
30f
Cumulative Frequency
Ages of Students
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Graphical &Diagrammatic Presentation
• It provides a visual method of examining quantitative and qualitative data.
• It brings out clear and relative importance of different figures and helpful in finding out relation between two or more sets of data.
a. Presentation of qualitative data:
A. Bar diagrams
B. Line diagrams
C. Pie diagrams
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CONT………
D. Pictograms.
E. Map diagrams.
b. Presentation of quantitative data
A. Histogram
B. Frequency polygon
C. Cumulative frequency curve or ogive
D. Scattered diagram
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Presentation of qualitative data:(A)Bar diagram
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(B)The Line diagram
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Example:
Figure (1) Crude birth rate of Gaza Strip . 1997-2001
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(C)The Pie ChartCC
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Marital Status Frequency %Single 20 28
Married 30 41Divorced 10 14Widowed 12 17
Total 72 100
Distribution of a group of subjects by marital status
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(D)Pictogram
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Fireflies
Day
s of
the
Wee
k
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2020
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Presentation of quantitative data
1.The HistogramExamples:
Age in Years Number of patients
0 - 5 4
5 - 10 10
10 - 15 18
15 - 20 8
20 - 25 6
Total 46
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The Histogram
Examples:Number of patients
Age in Years
Distribution of a group of subjects by age
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2.The Frequency Polygon
• Examples:
Age in Years Sex Mid-point of interval
Males Females 20-30 3 2 (20+30)/2=25
30-40 5 5 (30+40)/2=35
40-50 7 8 (40+50)/2=45
50-60 4 3 (50+60)/2=55
60-70 2 4 (60+70)/2=65
Total 21 22
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The Frequency Polygon
• Example:
Figure (2): Distribution of a group of subjects by age and sex
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3.Cumulative Frequency Graph
A cumulative frequency graph or ogive, is a line graph that displays the cumulative frequency of each class at its upper class boundary.
17.5
Age (in years)
Ages of Students
24
18
12
6
30
0
Cum
ulati
ve fr
eque
ncy
(por
tion
of st
uden
ts)
25.5 33.5 41.5 49.5 57.5
The graph ends at the upper boundary of the last class.
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Class BoundariesExample:Find the class boundaries for the “Ages of Students” frequency distribution.
49.5 57.5
41.5 49.5
33.5 41.5
25.5 33.5
17.5 25.5The distance from the upper limit of the first class to the lower limit of the second class is 1.
Half this distance is 0.5.
Class Boundaries
50 – 57 2
3
4
8
13
42 – 49
34 – 41
26 – 33
18 – 25
Frequency, fClass
30f
Ages of Students
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4.The Scatter Diagram
• When two quantitative variables such as blood pressure and weight have been measured on the same set of individuals, a simple and effective way of describing them is the scatter diagram.
• Each individual’s X (first variable value) and y (2nd variable value) measurements are plotted as a point on the diagram.
• The X value plotted on the horizontal scale.• The Y value on the vertical scale.• For example for the data below, the first individual’s weight is 67 kg,
his blood pressure is 114 mmHg. • The marked point in the figure corresponds to this individual's weight
and blood pressure.
Weight (kg) 67 69 85 83 74 81 97 92 114
SBP (mmHg) 114 90 88 96 113 92 103 123 125
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The Scatter diagramWeight (kg) 67 69 85 83 74 81 97 92 114
SBP (mmHg) 114 90 88 96 113 92 103 123 125
Scatter diagram of weight and systolic blood pressure for a group of individuals
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Thank you