WHAT IS SAMPLING?
Sampling is the process of selecting a group of individuals from a population in order to study them and characterize the population as a whole.
Or
Sampling is a method used in the statistical analysis where a fixed number of findings from a wider sample are taken from it. The technique for sampling from a larger population depends on the form of research being carried out but can involve simple random sampling or systematic sampling
Types of Sampling
Random Sampling
Random sampling is a type of probability sampling where everyone in the entire target population has an equal chance of being selected.No Bias Examples: Lottery.
Every member of the population has an equal chance of being in the sample at the random selection. The choice is human judgment-free. Winning tickets in a lottery, for example, are literally chosen at random. Tables of random numbers are available, created by statistical methods, and can be used to select samples from a population specified in numerical order.
Systematic Sampling
Seeks to introduce some order into the choice of sample, yet ensure lack of bias examples. Every 10th can be decided upon as Nos.1,11,21,31 etc. in the list or Nos. 5,15,25, 35 etc.
When the sample to be chosen is one-tenth of the population, the sample will include every 10th person on the population list. It can not be a reasonable sample unless the list (of the population) is organized on characteristics appropriate to the analysis
Stratified Sampling
It is the process whereby samples are taken from different segments of the population example Age group, Income.
Area Sampling
Is a kind of stratified sampling where the spatial dimensions of the population are different. Samples may be taken separately from those visiting the places in the South and other visitiog in the Northern cities with specific motives for travel.