Sunday, April 27, 2014

SYSTEMATIC RANDOM SAMPLING

Systematic Random Sampling:

This method is usually used in those cases where a complete list of the population from which the sample has to be drawn is available. 
Under this method the Kth item is picked up from the sample frame and k is the sampling interval defined as: K=N/n   Where, N is the size of the population and n is the size of the sample.
Example: If 2000 items are to be selected from a universe of 2,000 items the k will be 10. Now if the starting number is say 6 then the Kth numbers will be 16th, 26th, 36th etc. It is therefore, necessary to select the starting point carefully either by drawing a card from a well shuffled pack of cards or by throwing a dice or by taking out a number chit from a lot of 10 numbers or so.
Related Articles

No comments:

Post a Comment

Random Posts

  • INPUTS IN TRAINING AND DEVELOPMENT
    01/02/2014 - 0 Comments
    A Training and Development program must contain inputs that enable the participants to acquire skills,…
  • PARAMETRIC TESTS
    11/05/2014 - 0 Comments
    Parametric test provide inferences for making statements about the means of parent populations.  A…
  •  STRATIFIED RANDOM SAMPLING
    27/04/2014 - 0 Comments
     The population is divided into several groups known as strata. If a given population has distinct…
  • COLLECTIVE BARGAINING
    26/02/2014 - 0 Comments
     Collective bargaining usually denotes the negotiation, administration and interpretation of an…
  • INTERNATIONAL COMPANIES
    14/02/2014 - 0 Comments
     Companies that do business across borders face a specific set of challenges and opportunities that…