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As a
METHOD
it refers to orderly
processes of data collection,
organization, presentation and
interpretation (tabulation of data,
computation of rates and frequency
distribution, graphic presentation)
As a
DATA
it refers to quantitative data
affected to a marked extent by a
multiplicity of causes.
Data
are
collected in order to measure something
(number of deaths, births, specific
diseases, hospital admissions)
Descriptive Statistics
Statistical techniques for summarizing and presenting data in a form that will make them easier to analyze and
interpret.
Inferential Statistics
Concerned in making estimates, predictions, generalizations, and
conclusions about a target population
based on information from a sample
Demographic
ex. Population size, age, sex,
geographic distribution, mortality,
morbidity, growth rate
Health Status
Causes and distribution of
mortality and morbidity as to
residence, place of occurrence, age,
sex
Health related Socio economic
Environmental Factor
Water supply, excreta disposal,
school enrollment, food
establishment, transports, food
intake/habits
Biostatistics
No measurement is perfectly accurate or exact
Probability
Used to described the variety and
frequency of past outcomes under
similar conditions as a way of predicting
what should happen in the future.
P value-
use to express the degree of
probability or improbability of a
certain result in an experiment.
Confidence Interval
This is a range of values within which the true result probably falls.
Variable
Measurement of a characteristic
Qualitative
Variables whose categories are simply used as labels to distinguish one group
from another
Qualitative
Numerical representation of the
categories are for labeling/coding and
NOT for comparison
Qualitative
Sex, religion, place of residence,
disease status
Discrete
integral whole number
Continuous
– can attain any value
including fractions and decimals
Quantitative Values
indicate a quantitiy or amount and can be expressed numerically
Quantitative Values
can be arranged according to magnitude
Quantitative
Age, height weight, blood pressure
Nominal
- A classificatory scale where the
categories are used as labels only
- Sex, race, blood group, patient ID
Ordinal
Used for categories which can be
ordered or ranked
Likert scale, psychosocial scale
Interval
Same characteristics as ordinal; zero
point is arbitrary and does not mean
absence of the characteristic
Temperature, IQ
Ratio
Same characteristics as ordinal; a
meaningful zero point exist
Weight, BP, height, doctor visits
Tabulation
• It refers to the arrangement of any data
in an orderly sequence, so that they can be presented concisely and compactly
and so that they can be understood
easily.
Frequency Distribution Data
are grouped according to some
scale of classification, where the sum
of the entries is equal to the total.
The figures may either be in equal
numbers, in percent or in both. The
scales used may be qualitative,
quantitative or both.
A
frequency distribution
shows the
number of observations falling into
each of several ranges of values.
Frequency distributions
are
portrayed as frequency tables,
histograms, or polygons.
Correlation Data
Used to compare two or more
frequencies
Time series Data
Some variable changes over a period of time is the one being presented.
Title-
it should state the objective of the
table. It should clearly, briefly and
comprehensively what the figures in the
body of the table stand for. How the
data are classified, where and when
obtained
Stubs-
indicate the basis of classification
of the rows or horizontal series of
figures
Column headings
indicate the basis of
classification of the columns or vertical
series of figures.
Body of the table-
this is made up of the
figures filling the cells or compartments
brought about by the coordinates of
rows and columns
Marginal Totals-
refer to the column
totals and row totals
Footnote
indicate the source of
information
Graphing
The purpose is to convey a simpler idea of what the statistical table contains .
Title-
indicate clearly and briefly what
the figures in the body of the graph stand
for, how the data were classified, and
where and when obtained. This is placed
at the bottom of the graph, preceded by
number for easy reference.
Axis-
a graph has 2 axes, the vertical
and the horizontal:
Legend-
this is needed when one is
drawing more than one graph in a
graphing space. This clarifies to what
particular item each of the graph refers.
It is placed either at the bottom of the
graph or as close as possible to the
figures being identified.
Body of the graph-
these are the lines,
bars or figures drawn within the
graphing space.
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