sampling sec b shashank
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8/6/2019 Sampling Sec b Shashank
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1 �Type of universe/population
2 �Sampling unit
3 �Source list/ Sampling frame
4 �Size of sample
5 �Parameters of interest
6 �Budgetary constraint
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
Every element of population have an
equal probability of being selected
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
Selection of sample is at uniform
interval
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
population is divided into
groups or clusters and
whole group is selected.
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
If cluster happen to be
some geographic
subdivisions ,
cluster sampling is
better known as
area/stratified
sampling.
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Random sampling
Systematic sampling
Stratified random sampling
Cluster sampling
Area/stratified sampling
Multi phase sampling
Probability Sampling
Modified form of cluster sampling.
Sample units are selected in
two,three or four stages.
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Quotasampling
Judgement
sampling
Conveniencesampling
Non-probability Sampling
Certain quotas are fixed that
are to be drawn from the
population.e.g men age 25-
35 quota 40%,
Women 18-32, quota 60%
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Quotasampling
Judgement
sampling
Conveniencesampling
Non-probability Sampling
Units are purposively
selected on the basis of
investigator.(experts)
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Quotasampling
Judgement
sampling
Conveniencesampling
Non-probability Sampling
Sample is elected on the
convenience of the researcher.
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Probability sampling Non-probability sampling
Sampling error can be controlled. Sampling error cannot be
controlled.
Selection process depends on
scientific techniques.
Selection bias can be very high.
High cost and time involved. Low cost involved.
Possible to test hypothesis through
formal test of significance.
Test of significance not
applicable.
Reliable and representative if
population is heterogeneous.
Useful in homogeneous
population.
Accuracy may be poor if
population is high.
Accuracy in such situation is quite
scattered.
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Sampling error are of two types ²
*biased error ² errors arise from any biasness at the time of
selection or estimation, faulty working during collection ofdata, at the time of analysis.
*unbiased error ² errors arise due to difference in the members ofpopulation include and those not included
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There are two methods of determiningthe sample size viz. practical method,
statistical principle.Practical method- Sample size of less
than 100 is not chosen.
Statistical principle ² Scientific
approach.(involves aspects as availability of
finance, time to conduct survey.)
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