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Dr Tarekk
Types of
Variables
Duration: ≈ 60 Minutes
Dr Tarekk Alazabee2012
Libyan National Center for Diseases Control
Main objectives
After completing this presentation, the
participants will able to:
- Define Statistics and Biostatistics.
- Define and identify the different types of data
and understand why we need to classifying
variables.
Agriculture
Economy
Industry
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In Public Health
- Some of the statistics most often
encountered are called means, standard deviation, percentages, and rates.
Dr Tarekk
◘ What is the data?
◘ What is statistics?
◘ What is biostatistics?
Dr Tarekk
What is the data?
The data is the raw material of
statistics.
The data could be numbers or
categories or both.
Dr Tarekk
What is statistics?
Dr Tarekk
StatisticsLatin:
Status: “manner of standing” or “Position“.
هل نحن ضائعون؟
أين أقف اآلن؟
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Data InformationStatistics
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Part of Data
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The purpose: To determine the nature
of the information
The field of study concerned with:
o The collection, organization, summarization, and analysis of data. ( Descriptive Statistics).
o The Drawing of inferences about body of data when only a part of the data is observed.
( Inferential Statistics ).
Definition
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What is Biostatistics?
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Biostatistics
Is Statistics applied to
biological sciences and
medicine.
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Routinely Kept Records.
Surveys.
Experiments.
External Sources
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أنـــواع المتغيــرات
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Variable:
Characteristic that can take on different
values for different persons, places or
things.
Exp: Age, Gender, Blood pressure
Statistical analysis need variability;
otherwise there is nothing to study
Definition
Variables
Qualitative V Quantitative V
Continuous V Discrete V
Types of Variables
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I. Quantitative Variable ( Numerical V)
- Measurements made on quantitative
variables convey information
regarding amount.
Quantitative Variable
- Discrete V
- Continues V
a) Discrete V (Countable):
Is characterized by gaps or interruptions
in the values that it can assume.
Exp: No of admissions.
No of decayed teeth per child.
I. Quantitative Variable
1 2 3 4
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b) Continuous V (Measurable):
can assume any value within a specified relevant interval of values.
Exp: Age. Blood Sugar. Height. Weight
I. Quantitative Variable
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100 230
7 Years 25 Years
I. Quantitative VariableDr Tarekk
II. Qualitative (Nominal) Variable:
- Some characteristics are not
capable of being measured in
the sense, and can be categorized
only.
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O
AB
B
A
Blood
Group
Gender
Male
Female
Qualitative (Nominal) Variable:
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Justification
Statistical
Tests
Data
Presenting
Data
Summarizing
Types of
the Variables
Scales of
Measurement
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Dr Tarekk
NEXT
Data Presentation
Thanks
Dr Tarekk
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