random sampling techniques
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RANDOM SAMPLING
TECHNIQUES
ISHU SINGLA PARMINDER SINGH ANKIT GUPTA SAKET AGGARWAL
191026 191041 191008 191051
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Basic Concepts in Samples and Sampling
Sample: a subset of the population that should
represent the entire group Sample unit: the basic level of
investigation«consumers, store managers, shelf -facings, teens, etc. The research objectiveshould define the sample unit
C ensus: an accounting of the completepopulation
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Bas c C nc pts n Samp s and Samp n
Po pu a on the entir e gr oup under study as
deined
by
r esea
r ch
ob ec
tives
Some
times
ca ed the ³univer se ´
Resear cher s de ine popu ations in spec f c ermssuch as heads o househo ds individua per son
types f amilies types of r etail outlets etcPopulation geogr aphic location and time of study
ar e also consider ed
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Figur e 7.1 Population sample and individual cases
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REASONS FOR TAKING A SAMPLE
Practical considerations such as cost and population size
Inability of researcher to analyze large quantities of data potentially generated by a census
Samples can produce sound results if proper rules are followed for the draw
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Bas c Samp n C ass f cat ns
Probability samples: ones in which members of the
population have a known chance (probability) of beingselected
N on-probability samples: instances in which the chances(probability) of selecting members from the populationare unknown
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RANDOM SAMPLING TECHNIQUES
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PROBABILITY SAMPLING Process of probability sampling
(2) Decide on a suitable sample size
(3) Select the most appropriate sampling technique and select the sample
(4) Check the sample is representative of the population
(1) Identify a suitable sampling frame based on your research questions or objectives
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