gaurav sampling
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Sampling is simply the process of learning about
the basis of sample drawn from it. Thus in the sa
instead of every unit of the universe only a part of
study and conclusion are drawn on that basis for
The process of sampling involves three elements
selecting the sample
collecting the information
making an inference about the population
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Census: an accounting of the complete popmethod of a complete enumeration survey
collected for each & every unit
Sampling error: any error that occurs in
because a sample is used
Sample frame: a master list of the populati
partial) from which the sample will be drawn
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Essentials of Sampling
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Representative vs. Non-representative Sam
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Law of Statistical Regularity :- This law points o
if a sample is taken at random from population, it is likel
almost the same characteristics as that of the population
Law of Inertia of Large Number:- it states that
equal, larger the size of the sample more accurate the
likely to be.
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Process of Sample SelDefine population
Census vs. sample
Sample design
Sample size
Estimate costs of sampling
Execute sampling process
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ones in whichthe population have a known chance (p
being selected
instances
chances (probability) of selecting memb
population are unknown
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SamplingClassifications
Probability
samples
SystematicSampling
SimpleRandom
ClusterSampling
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Sampling
Classifications
NonProbability
samples
JudgmentSampling
ConvenienceSampling
Qu
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Probability Sampling M
Simple random sampling: the probabi
selected is known and equal for all mem
population
Blind Draw Method (e.g. names placed
then drawn randomly)
Random Numbers Method (all items in
frame given numbers, numbers then draw
or computer program)
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Systematic sampling: a Systematic samp
selecting one unit at random and then seleunits and evenly spaced intervals until th
been formed.
K= N/n Where ,K= Sampling Interv
N= Universe Size
n=
Sample size
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Cluster sampling: method by which th
divided into groups (clusters), any of
considered a representative sample. Th
mini-populations and therefore are hetero
clusters are established a random draw ione (or more) clusters to represent the pop
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Stratified Sampling Me
population is separated into hom
groups/segments/strata and a samp
from each. The results are then co
get the picture of the total population
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samples t
judgment or an educated guess on thinterviewer as to who should represent th
Also, judges (informed individuals) may
suggest who should be in the sample.
Subjectivity enters in here, and certain
the population will have a smaller or
selection compared to others
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in a quota sam
are set up according to some
characteristics such as so many in eac
income groups, so many in each ag
with certain political or religious affiliati
on.
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Business Research Methodology
By:- C.R. Kothari
Business Statistics
By:- SP Gupta
Statistics for MBABy:- Dr. SC Aggarwal
www.wikipedia.org
Google search engine
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