data and types made bye dr nishant one who dont understand data plzz read this
NishantTaralkar
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May 31, 2024
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Language: en
Added: May 31, 2024
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Medical Statistics
Dr. Sanjay Patil
Lecture no. 3 for Regular batch
Statistics
•Statistics is the study of collecting, organizing a nd
summarizing data, used to convert data into a
meaningful information.
•
Collects numbers or data
•
Collects numbers or data
•Systematically organizes or arranges the data
•Analyzes the data…extracts relevant information
to provide a complete numerical description
•Infers general conclusions about the problem
using this numerical description.
4/1/2020 8:24:00 AM2 Medical statistics Dr. Sanjay Patil
Population
•Population: Population: is the universal set of
all objects under study.
•A population is any entire collection of people,
animals, plants or things from which we may animals, plants or things from which we may collect data.
•It is the entire group we are interested in,
which we wish to describe or draw
conclusions about.
4/1/20203 Medical statistics Dr. Sanjay Patil
Sample
•Sample: (Subset of the Population)
•A sample is a group of units selected from a
larger group (the population).
•
By
studying the sample it is hoped to draw
•
By
studying the sample it is hoped to draw
valid conclusions about the larger group.
4/1/20204 Medical statistics Dr. Sanjay Patil
SAMPLE SIZE/ Sample & Population eg •SAMPLE SIZE Sample size is the number of
observations used for calculating estimates of
a given population.
•
For
example, if we interviewed 30 random
•
For
example, if we interviewed 30 random
students at a given high school to see if they
liked a certain movie star, "30 students" would
be our sample size.
•All students in the school is Population.
4/1/20205 Medical statistics Dr. Sanjay Patil
Data
•A single piece of information.
•Dataespecially refers to numbers, but can
meanwords, sounds, and images.
•Datais defined as facts or figures, or information
that's stored in or used by a computer. that's stored in or used by a computer. Anexampleofdatais information collected for a
research paper. Anexampleofdatais an email.
•Research datais any information that has been
collected, observed, generated or created to
validate originalresearchfindings.
4/1/20206 Medical statistics Dr. Sanjay Patil
DIFFERENT TYPES OF DATA:
•1. Primary Data
•2. Secondary Data
•3. Qualitative Data
•
4
. Quantitative
Data
•
4
. Quantitative
Data
•Discrete and Continuous Data
4/1/20207 Medical statistics Dr. Sanjay Patil
DATA TYPES
•Data can be classified as either Primary or
Secondary.
•Primary Data: Primary data means original data
thathasbeencollectedspeciallyforthepurpose
inmind.
It
means
when
an
authorized
organization,
•
It
means
when
an
authorized
organization,
investigator or an enumerator collects the data
forthefirsttimefromtheoriginalsource.
•Datacollectedthiswayiscalledprimarydata.
•For example: Your own questionnaire, survey,
information.
4/1/20208 Medical statistics Dr. Sanjay Patil
Secondary Data:
•Secondary data is data that has been collected
for another purpose.
•When we use Statistical Method with Primary
Data from another purpose for our purpose
we refer to it as Secondary Data.
•
It
means that one purpose's Primary Data is
•
It
means that one purpose's Primary Data is
another purpose's Secondary Data.
•Secondary data is data that is being reused.
Usually in a different context. For example:
Data from a Book, Newspaper, Magazine, or
Internet.
4/1/20209 Medical statistics Dr. Sanjay Patil
Qualitative Data
•• Qualitative Data measures a quality or
characteristic on each experimental unit.
•It is a categorical data.
•• Examples: •Hair color (black, brown, blonde,
white, grey, mahogany) white, grey, mahogany)
•Make of car (Dodge, Honda, Ford, Toyota)
•Gender (male, female)
•Place of birth (Riyadh, Jeddah, Yanbu)
4/1/202010 Medical statistics Dr. Sanjay Patil
Quantitative Data
•Quantitative data is a numerical measurement
expressed in terms of numbers.
•For example: Temperature= “26 degrees"
Height = "1.8 meters"
•
Length
= “2.5 feet”
•
Length
= “2.5 feet”
•Age = “9 years”
•Note: Quantitative data always are associated with a
scale measure (degree/feet/years).
4/1/202011 Medical statistics Dr. Sanjay Patil
Quantitative Data
•Quantitative Data measure a numerical
quantity on each experimental unit.
•Examples • For each orange tree, the number
of oranges is measured.
•
–
Quantitative • For a particular day, the
•
–
Quantitative • For a particular day, the
number of cars entering a college campus is
measured.
•–Quantitative • Time until a light bulb burns
out (4 months) –Quantitative
4/1/202012 Medical statistics Dr. Sanjay Patil
Qualitative vsQuantitative
•Data Qualitative Data Overview: Deals with
descriptions.
•Data can be observed but not measured.
Colors, textures, smells, tastes, appearance, Colors, textures, smells, tastes, appearance, beauty, etc.
•Qualitative → Quality
4/1/202013 Medical statistics Dr. Sanjay Patil
Quantitative Data
•Quantitative Data Overview
•Quantitative Data: Deals with numbers.
•Data which can be measured.
•
Length
, height, area, volume, weight, speed,
•
Length
, height, area, volume, weight, speed,
time, temperature, humidity, sound levels,
cost, members, ages, etc.
•Quantitative → Quantity
4/1/202014 Medical statistics Dr. Sanjay Patil
Discrete and Continuous Data
•Discrete and Continuous Data
•There are two types of Quantitative Data:
•1. Discrete (in whole numbers) Exp: Number
of Questions in Exam 5, 7, 14 Number of cars,
Number of students 3000 Number of students 3000
•2. Continuous (in decimal points) Exp:
Temperature of Yanbuon Sunday 26.5 degrees
Your Height 5.3” Your Weight 120.5
lbs Shoe size 7.5
4/1/202015 Medical statistics Dr. Sanjay Patil
Discrete and Continuous Data
•Discrete data usually occurs in a case where
there are only a certain number of values, or
when we are counting something (using whole
numbers).
•
Continuous
data makes up the rest of
•
Continuous
data makes up the rest of
numerical data.
•This is a type of data that is usually associated
with some sort of physical measurement (like
feet/inches/kilogram).
4/1/202016 Medical statistics Dr. Sanjay Patil
Questions
•Write a Short note on 1. Primary Data
2. Secondary Data
3. Qualitative Data 3. Qualitative Data 4. Quantitative Data
4/1/202017 Medical statistics Dr. Sanjay Patil