sampling

1. KR TECHNICAL COLLEGE AMBIKAPUR
SESSION(2022-2023)
A SEMINAR
ON
“SAMPLING”
SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR AWARD OF MASTER OF
SCIENCE OF COMPUTER SCIENCE
Guided By : Submitted By :
Mr. Binnay Ambasth Sanju Sanjeev Toppo
(Incharge of IQAC) Msc .Cs I Semester
Roll No. : 09
21-10-2022

2. INDEX
• Samping
• Needs of sampling
• Samping Process
• Definition of population
• Sampling Frame
• Advantages of sampling
• Disadvantage of sampling
• Reference

3. SAMPLING
sample

4. • Population or Universe: It referstothegroupofpeople,itemsor units
underinvestigation andincludes everyindividual.
• Sample: a collection consisting of a part or subset of the objects or
individualsofpopulationwhichis selectedforthepurpose, representingthe
population
• Sampling: This is the prosess in which a part of something
taken for study is known as “sampling”
• individuals from polulation.
Definition

5. NEED OF SAMPLING
• Largepopulationcanbeconvenientlycovered.
• Time,moneyandenergyissaved.
• Helpfulwhenunitsofareaarehomogenous.
• Usedwhenpercentaccuracyisnotacquired.

6. Sampling Process
•Specification of objectives: The objectives of
carrying out sampling is the first and foremost step
in sampling procedure Because all other steps will
followfromthis objective.

7. Identify thesamplingframe:
•Need to clearly define from which population or
universewillthe samplebepickedfrom.

8. Specifythesamplingunit:
–We need to decide on whom to contact in order to obtain
thedata required
–Need to be careful while selecting the sampling unit, as we
needto besureofwhetherwewillgettherequireddatafrom
therespondent ornot.

9. Types of sampling

10. Probablity sampling

11. Non –probablity sampling

12. ADVANTAGES OF SAMPLING
• Economical:Reducethecostcomparetoentirepopulation.
• Increased speed: Collection of data, analysis and Interpretation
of dataetc.takelesstimethanthepopulation.
• Accuracy: Due to limited area of coverage, completeness
and accuracyispossible.

13. DISADVANTAGES OF SAMPLING
•Biasedness: Chances of biased selection leading to incorrect
conclusion. Selection of true representative sample: Sometimes it is
difficultto select therightrepresentativesample.
•Needforspecializedknowledge:Theresearcherneedsknowledge,
training and experience in sampling technique, statistical analysis
and calculationofprobableerror.
•Impossibility of sampling: Sometimes population is too small or
too heterogeneoustoselectarepresentativesample.