Simple random sampling and Systematic sampling

SIMPLE RANDOM SAMPLING AND SYSTEMATIC SAMPLING

Simple random sampling 

  • Selection of sample is by drawing up from a list of animals in the study population (in which each sample is having equal chance of being selected by luck).
    • Eample: If 20 cows to be selected to analyse the quantity and quality of milk production in a herd of 200 cows (study population).
  • Code for every cow would be written on the identical sheet and then picking up a sample (cow) randomly.

Systematic sampling

  • The first animal is being selected randomly from the proportionate level of the study population and then selection of sampling units at equal intervals.
    • Example: If one animal in every 10 animals is required, then the first animal would be selected randomly from the first 10.
  • If it is 4th animal, then the samples would be 14, 24, 34, 44 and so on.

S.No

Simple

Systematic

1

It requires total knowledge about the study population

Only for the proportionate size of the study population to select the first sample randomly

2

All the animals in the study population should be identified

Not necessary to identify all the animals

3

Samples drawn may not be evenly spread

Evenly spread in the study population

4

Comparatively difficult method

Relatively easy method

Last modified: Thursday, 22 September 2011, 12:08 PM