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Collection of data
• Types of data
• Primary data: are those which are
collected fresh and for the first time
• Secondary data : are those which have
been collected by someone else and
which have already been passed through
the statistical process
Method of Collection :
Primary data
• 1.Observation Method: observation by
observer
• “Observation may be defined as systematic
viewing ,coupled with consideration of seen
phenomenon - P.V. Young
• 2. Interview method : Oral-verbal responses
• a. Direct Personal interviews
• b. Indirect personal interviews
• c. Telephonic interviews
• d. Group interviews
• g. Postal interviews
Determining the question to be addressed
Constructing a frequency distribution involves:
Determining the question to be addressed
Constructing a frequency distribution involves:
Collecting raw data
Determining the question to be addressed
Constructing a frequency distribution involves:
Collecting raw data
Organizing data (frequency distribution)
Determining the question to be addressed
Constructing a frequency distribution involves:
Collecting raw data
Organizing data (frequency distribution)
Presenting data (graph)
Determining the question to be addressed
Constructing a frequency distribution involves:
Collecting raw data
Organizing data (frequency distribution)
Presenting data (graph)
Drawing conclusions
A Frequency Distribution
Frequency Distribution is a
grouping of data into mutually exclusive
categories showing the number of
observations in each class.
Uses of tabulation:
It facilitates the process of comparison
Statistical tables save space by reducing exploratory and
descriptive statement to a minimum.
Makes it easier to remember the data
Facilitates the summary of items and the detection of
errors and omissions.
Finally it provides a basis for statistical computations.
Class Midpoint
Class Midpoint:
: A point that divides a class
into two equal parts. This is the average of the upper
and lower class limits.
Definitions
Class Frequency
Class Frequency:
The number of
observations in each
class.
Class interval
Class interval: The
class interval is
obtained by subtracting
the lower limit of a
class from the lower
limit of the next class.
The class intervals
should be equal.
t
t
t
t
Step One
Step One:
: Decide on the
number of classes using the
formula 2
2k
k
> n
> n
where k=number of
classes
n=number of observations
Step Two
Step Two: Determine the class interval
or width using the formula
i > H – L
H – L
k
k
EXAMPLE 1
The Survival time in months for 50 patients suffering
from acute myeloblastic leukemia(AML) was given
below
a. Draw a frequency distribution table with proper
class intervals
b. Create a Histogram to show the distributions of
survival time
18 31 28 36 05 39 20 04 45 23
36 22 08 07 27 05 23 32 29 22
37 07 24 18 08 04 14 43 13 42
10 12 24 13 17 28 08 09 16 18
44 25 15 04 34 28 32 17 20 19
oThere are 50 observations so n=50.
oTwo raised to the sixth power is 64.
oTherefore, we should have at least
6classes, i.e., k=6.
where H=highest value, L=lowest value
45– 3
6
= 7
H – L
H – L
k
k
i > =
Round up for an interval of 7
Set the lower limit of the first class at 0, giving a
total of 7 classes.
Example
Step Three
Step Three: Set the individual class limits and
Steps Four and Five
Steps Four and Five: Tally and count the number of
items in each class.
0- 7 IIII
7 -14 IIII
14 -- 21 IIII
21 - 28 II
28 - 35 III
35 - 42 II
42 - 49 I
Presentation of data
The objectives:
Become concise without losing the details
Arouse interest in the reader
Become simple to form impressions
Define the problem and suggest the solution too
Become helpful in further analysis
A Histogram is a graph in which the class
midpoints or limits are marked on the horizontal
axis and the class frequencies on the vertical axis.
The class frequencies are represented by the heights
of the bars and the bars are drawn adjacent to each
other.
The three commonly used graphic forms are
Histograms, Frequency Polygons
Histograms, Frequency Polygons, and a
Cumulative Frequency
Cumulative Frequency distribution.
0
4
10
18
20
19
6
3
0
2
4
6
8
10
12
14
16
18
20
Number
of
cases
Fig 1:Histogram showing the height of the students
140 145 150 155 160 165 170 175
Graphic Presentation of a Frequency
Graphic Presentation of a Frequency
Distribution
Distribution
Graphic Presentation of a Frequency Distribution
A Frequency Polygon
Frequency Polygon consists of
line segments connecting the points
formed by the class midpoint and the
class frequency.
Frequency Polygon
Frequency Polygon for Hours
for Hours
Spent Studying
Spent Studying
0
2
4
6
8
10
12
14
10 15 20 25 30 35
Hours spent studying
Frequency
Frequency Polygon for Hours Spent Studying
Line diagram
Qualitative data:
• Bar charts:A Bar chart can be used to depict any of the level of
measurement(Nominal,ordinal,interval or ratio).
• Bar chart is a popular and easy method adopted for visual
comparison of the magnitude of different frequencies
• in discrete data, such as of morbidity,mortality , vaccinal status
of population in different ages, sexes, professions or places.
Different types of Bar diagrams are-
• 1. Simple bar diagram
• 2. Multiple bar diagram
• 3. Component bar diagram
• 4. Percentage bar diagram
•
•
Type of leprosy Number of patients
Tuberculoid 148
Lepromatous 64
Indeterminate 18
Borderline 10
Research notes on Distribution of data.ppt
Multiple bar chart:
INCOME STATUS
Component Bar chart:
Association between the exposure & the disease
Percentage bar chart:
BURDEN SCALE
46%
24.50%
18.50%
6.50%
4.50%
Group A
Group B
Group C
Group D
Group E
Pie Chart
Ex. 1
• A Psychologist estimates the IQ of 30 students . The values are as
follows:
• 86 98 78 96 79 81 103 85
• 94 100 103 112 76 95 98 94
• 101 99 83 94 64 78 122
• 105 11568 84 90 100 96
• Form a frequency distribution Table with proper class interval. Draw
the suitable diagram
Ex 2
• Represent the following data regarding religion wise break
down
• Hindu 297
• Muslim 99
• Christian 29
• Others 15

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Research notes on Distribution of data.ppt

  • 1. Collection of data • Types of data • Primary data: are those which are collected fresh and for the first time • Secondary data : are those which have been collected by someone else and which have already been passed through the statistical process
  • 2. Method of Collection : Primary data • 1.Observation Method: observation by observer • “Observation may be defined as systematic viewing ,coupled with consideration of seen phenomenon - P.V. Young • 2. Interview method : Oral-verbal responses • a. Direct Personal interviews • b. Indirect personal interviews • c. Telephonic interviews • d. Group interviews • g. Postal interviews
  • 3. Determining the question to be addressed Constructing a frequency distribution involves:
  • 4. Determining the question to be addressed Constructing a frequency distribution involves: Collecting raw data
  • 5. Determining the question to be addressed Constructing a frequency distribution involves: Collecting raw data Organizing data (frequency distribution)
  • 6. Determining the question to be addressed Constructing a frequency distribution involves: Collecting raw data Organizing data (frequency distribution) Presenting data (graph)
  • 7. Determining the question to be addressed Constructing a frequency distribution involves: Collecting raw data Organizing data (frequency distribution) Presenting data (graph) Drawing conclusions
  • 8. A Frequency Distribution Frequency Distribution is a grouping of data into mutually exclusive categories showing the number of observations in each class.
  • 9. Uses of tabulation: It facilitates the process of comparison Statistical tables save space by reducing exploratory and descriptive statement to a minimum. Makes it easier to remember the data Facilitates the summary of items and the detection of errors and omissions. Finally it provides a basis for statistical computations.
  • 10. Class Midpoint Class Midpoint: : A point that divides a class into two equal parts. This is the average of the upper and lower class limits. Definitions Class Frequency Class Frequency: The number of observations in each class. Class interval Class interval: The class interval is obtained by subtracting the lower limit of a class from the lower limit of the next class. The class intervals should be equal.
  • 11. t t t t Step One Step One: : Decide on the number of classes using the formula 2 2k k > n > n where k=number of classes n=number of observations Step Two Step Two: Determine the class interval or width using the formula i > H – L H – L k k
  • 12. EXAMPLE 1 The Survival time in months for 50 patients suffering from acute myeloblastic leukemia(AML) was given below a. Draw a frequency distribution table with proper class intervals b. Create a Histogram to show the distributions of survival time 18 31 28 36 05 39 20 04 45 23 36 22 08 07 27 05 23 32 29 22 37 07 24 18 08 04 14 43 13 42 10 12 24 13 17 28 08 09 16 18 44 25 15 04 34 28 32 17 20 19
  • 13. oThere are 50 observations so n=50. oTwo raised to the sixth power is 64. oTherefore, we should have at least 6classes, i.e., k=6.
  • 14. where H=highest value, L=lowest value 45– 3 6 = 7 H – L H – L k k i > = Round up for an interval of 7 Set the lower limit of the first class at 0, giving a total of 7 classes. Example
  • 15. Step Three Step Three: Set the individual class limits and Steps Four and Five Steps Four and Five: Tally and count the number of items in each class. 0- 7 IIII 7 -14 IIII 14 -- 21 IIII 21 - 28 II 28 - 35 III 35 - 42 II 42 - 49 I
  • 16. Presentation of data The objectives: Become concise without losing the details Arouse interest in the reader Become simple to form impressions Define the problem and suggest the solution too Become helpful in further analysis
  • 17. A Histogram is a graph in which the class midpoints or limits are marked on the horizontal axis and the class frequencies on the vertical axis. The class frequencies are represented by the heights of the bars and the bars are drawn adjacent to each other. The three commonly used graphic forms are Histograms, Frequency Polygons Histograms, Frequency Polygons, and a Cumulative Frequency Cumulative Frequency distribution.
  • 18. 0 4 10 18 20 19 6 3 0 2 4 6 8 10 12 14 16 18 20 Number of cases Fig 1:Histogram showing the height of the students 140 145 150 155 160 165 170 175
  • 19. Graphic Presentation of a Frequency Graphic Presentation of a Frequency Distribution Distribution Graphic Presentation of a Frequency Distribution A Frequency Polygon Frequency Polygon consists of line segments connecting the points formed by the class midpoint and the class frequency.
  • 20. Frequency Polygon Frequency Polygon for Hours for Hours Spent Studying Spent Studying 0 2 4 6 8 10 12 14 10 15 20 25 30 35 Hours spent studying Frequency Frequency Polygon for Hours Spent Studying
  • 22. Qualitative data: • Bar charts:A Bar chart can be used to depict any of the level of measurement(Nominal,ordinal,interval or ratio). • Bar chart is a popular and easy method adopted for visual comparison of the magnitude of different frequencies • in discrete data, such as of morbidity,mortality , vaccinal status of population in different ages, sexes, professions or places. Different types of Bar diagrams are- • 1. Simple bar diagram • 2. Multiple bar diagram • 3. Component bar diagram • 4. Percentage bar diagram •
  • 23. • Type of leprosy Number of patients Tuberculoid 148 Lepromatous 64 Indeterminate 18 Borderline 10
  • 26. Component Bar chart: Association between the exposure & the disease
  • 29. Ex. 1 • A Psychologist estimates the IQ of 30 students . The values are as follows: • 86 98 78 96 79 81 103 85 • 94 100 103 112 76 95 98 94 • 101 99 83 94 64 78 122 • 105 11568 84 90 100 96 • Form a frequency distribution Table with proper class interval. Draw the suitable diagram
  • 30. Ex 2 • Represent the following data regarding religion wise break down • Hindu 297 • Muslim 99 • Christian 29 • Others 15