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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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