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Present By.Shagan
M.B.A.2.2(Gen.)
Research is defined as a careful consideration of study regarding a
particular concern or a problem using scientific methods.According to the
American Sociologist Earl Robert Babbie,”Research is a systematic inquiry
to describe,explain,predict and cantrol the observed phenomenon…
Sampling is a process used in statistical analysis in
which a predetermined number of observations are
taken from a larger population.The methodology used
to sample from a larger population depends on the
type of analysis being performed…
1.Non-Probability Sampling:-Non-Probability
sampling is a sampling technique where the
samples are gathered in a process that does not
give all the individuals in the population equal
chances of being selected..
A.Quota Sampling:-The researcher hear is ease of acess to his sample
population by using quota sample,his tallying will be at his convenience
guide by some evident of characteristic,such as sex,race,based on
population of intrest.
B.Accidental Sampling;-Is convenience in reading the sampling
population,mostly used among marketers or newspaper researchers.
C.Judgmental or Purposive Sampling:-The sampling design is
based on the judgement of the researcher as to who will provide
the best information to succeed for the objective study.
D.Expert Sampling:-The researcher hear seeks for the consent of
those that are expert in the area of study ,and begin the process
of collecting his information directly from individual of group of
respondent.
E.Snowball Sampling
F.Modal Instant Sampling
G.Heterogeneity Sampling
Probability sampling is also known as random
sampling this is a sampling which permits every single
item from the universe to have an equal chance of
presence in the sample.
A.Systematic Sampling:-Thus,in systematic sampling only the
first unit is selected rendomaly and the remaining units of the sample
are to be selected by a fixed period,it is not like a random sample in real
sense,systematic sampling has confident points of having improvement
over the simple random sample,as sample the systematic sample is fast
more equally completed to the completed to the complete population
B.Area Sampling:-Is design sampling that deals with subdivision of
environment that represents clusters of units that centred on terrestrial
location.
C.Multi-Stage Sampling:-Is an additional progress of the belief
that cluster sampling have.Normally in multi-stage sampling design is
applicable in a big inquires of geographical area,for the entire country.
D.Cluster Sampling
E.Stratified Sampling
:-This is the sub population to be studied in order to
make an inference to a reference population which the
:-finding from a study are to be generalized.
The larger the sample size the more accurate the
finding from a study.
Sample A=10%
Sample B=15%
Sample Size A=1,000
Sample Size B=750
1.Sample size determination is the mathematical estimation of the number of subjects/units
to be included in a study.
2.When a representative sample is taken from a population the finding are generalized to the
population.
3.Optimum sample size determination is required for the following reasons:-
To allow for appropriate analysis
To provide the desired level of accuracy
To allow validity of significance test.
A.Population Specification Error
B.Sample Frame Error
C.Selection Error
D.Non-Response Error
Sampling and Sampling Methods

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Sampling and Sampling Methods

  • 2. Research is defined as a careful consideration of study regarding a particular concern or a problem using scientific methods.According to the American Sociologist Earl Robert Babbie,”Research is a systematic inquiry to describe,explain,predict and cantrol the observed phenomenon…
  • 3. Sampling is a process used in statistical analysis in which a predetermined number of observations are taken from a larger population.The methodology used to sample from a larger population depends on the type of analysis being performed…
  • 4. 1.Non-Probability Sampling:-Non-Probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected..
  • 5. A.Quota Sampling:-The researcher hear is ease of acess to his sample population by using quota sample,his tallying will be at his convenience guide by some evident of characteristic,such as sex,race,based on population of intrest. B.Accidental Sampling;-Is convenience in reading the sampling population,mostly used among marketers or newspaper researchers.
  • 6. C.Judgmental or Purposive Sampling:-The sampling design is based on the judgement of the researcher as to who will provide the best information to succeed for the objective study. D.Expert Sampling:-The researcher hear seeks for the consent of those that are expert in the area of study ,and begin the process of collecting his information directly from individual of group of respondent.
  • 7. E.Snowball Sampling F.Modal Instant Sampling G.Heterogeneity Sampling
  • 8. Probability sampling is also known as random sampling this is a sampling which permits every single item from the universe to have an equal chance of presence in the sample.
  • 9. A.Systematic Sampling:-Thus,in systematic sampling only the first unit is selected rendomaly and the remaining units of the sample are to be selected by a fixed period,it is not like a random sample in real sense,systematic sampling has confident points of having improvement over the simple random sample,as sample the systematic sample is fast more equally completed to the completed to the complete population
  • 10. B.Area Sampling:-Is design sampling that deals with subdivision of environment that represents clusters of units that centred on terrestrial location. C.Multi-Stage Sampling:-Is an additional progress of the belief that cluster sampling have.Normally in multi-stage sampling design is applicable in a big inquires of geographical area,for the entire country.
  • 12. :-This is the sub population to be studied in order to make an inference to a reference population which the :-finding from a study are to be generalized. The larger the sample size the more accurate the finding from a study.
  • 13. Sample A=10% Sample B=15% Sample Size A=1,000 Sample Size B=750
  • 14. 1.Sample size determination is the mathematical estimation of the number of subjects/units to be included in a study. 2.When a representative sample is taken from a population the finding are generalized to the population. 3.Optimum sample size determination is required for the following reasons:- To allow for appropriate analysis To provide the desired level of accuracy To allow validity of significance test.
  • 15. A.Population Specification Error B.Sample Frame Error C.Selection Error D.Non-Response Error