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Tabulation
• Tabulation is the first step before the data is used for analysis or interpretation.
• A table can be simple or complex, depending upon the number or measurement of single set or multiple sets of items.
• Whether simple or complex, there are certain general principles which should be borne in mind in designing tables:
– The tables should be numbered e.g. Table 1, Table 2 etc.
– A title must be given to each table. The title must be brief and self-explanatory.

Tabulation
• Tabulation is the first step before the data is used for analysis or interpretation.
• A table can be simple or complex, depending upon the number or measurement of single set or multiple sets of items.
• Whether simple or complex, there are certain general principles which should be borne in mind in designing tables:
– The tables should be numbered e.g. Table 1, Table 2 etc.
– A title must be given to each table. The title must be brief and self-explanatory.
– The headings of columns and rows should be clear and concise

• A ‘Bar graph’ is a way to visually represent qualitative data.
• They enable visual comparison of frequencies in the categories.
– The length of each bar is proportional to the frequency to be represented. Hence a suitable scale is to be used.
– Bars may be vertical or horizontal.
– All the bars in a graph should be of the same width.
– The bars must be separated by appropriate spaces for clarity
• It has been suggested that the spacing between the bars should be half of the width of the bars

• Tabulation is the first step before the data is used for analysis or interpretation.
• A table can be simple or complex, depending upon the number or measurement of single set or multiple sets of items.
• Whether simple or complex, there are certain general principles which should be borne in mind in designing tables:
– The tables should be numbered e.g. Table 1, Table 2 etc.
– A title must be given to each table. The title must be brief and self-explanatory.
– The headings of columns and rows should be clear and concise

Normal Distribution concerns quantitative variable e.g. systolic BP, birth weights, age at menarche etc.
Summary values of quantitative data are:
Mean and Standard deviation (SD),
Mode and
Median
Standard deviation (SD) summarizes the variation of a large sample
Variable is mostly distributed normally if:
The sample is fairly large and
The sample units have been chosen randomly i.e. the sample is a ‘random sample’
Normal Distribution (Gaussian Distribution)

There is practical difficulty in studying all the individuals in the population and it is too time-consuming not cost effective.
Sample results are usually acceptable if the sample is representative of the population to be studied
The main Objectives of Sampling are:
Estimation of population parameters (Mean, proportion etc.) from the sample statistics.
To test the hypothesis about the population from which the sample or samples are drawn,
SAMPLING FRAME: Is a listing of the members of the universe form which the sample is to be drawn

Major health problems affecting mothers and children in India are:
1. Malnutrition
2. Infection
3. Unregulated fertility

Maternity Cycle and Prematurity
Stages in the maternity cycle:
I Fertilization
II Antenatal (or prenatal) period
III Intra-natal period
IV Postnatal period
V Inter-conceptional period
Intra- uterine stages:
a. Ovum – 0 to 14 days
b. Embryo – 14 days to 9 weeks
c. Foetus – 9 weeks to birth
Premature infant – Born between 28 to 37 completed weeks of gestation
1. Extremely preterm – <28 weeks
2. Very preterm 28 – 32 weeks
3. Moderate to late preterm – between 32 to 37 weeks

The following considerations have led to the formulation of special health services for mothers and children:
1. Considering utter numbers, mother and children comprise a major portion of the population
• In India,
o Women of child bearing age (15 – 45 yrs.) constitute 22.2%
o Children under 15 yr. of age, comprise about 35.3% of the total population
o Together they constitute, nearly 57.7% of the total population (71.14% of the population of developing countries)

School Health Program