Types of Statistics Samples
• Random Sample – Under this every member of the population is equal.
• Voluntary response sample – Under this the subject of the sample decides, whether they’ll be a part of the survey or not.
• This type of sample depends on the selection of easy to obtain members from the population.
• Systematic Sample – It is chosen on the basis of an ordered system.
• Cluster sample – It involves using a simple random sample of evident groups that the population contains.
• Stratified Sample – It is used when the population is split into atleast to non-overlapping sub-populations.
It is really important to know the difference between the types of Samples because though they may sound same with almost similar names but they could be majorly different or even a minute difference to could result in many errors.
martha is discussing. 
Discuss your Dissertation 
martha 6:02 am on January 27, 2015 Permalink |
hello!
can you please explain a bit more about systematic sampling? I am researching about employee engagement and its effect on organizational commitment and job satisfaction. I intend to interview managers as well as employees. My supervisor suggested I go in for Systematic sampling for the survey. But i am not quite clear with how to go about it.