Type's of sampling

Type's of sampling

1. Simple Random sampling

   • Advantages
     • Everyone in the entire target population has an equal chance of being selected.
     • If you need part of the population without any restriction this method is the indicated
     • It's easy to use
     • Almost you have a lot of people to participate
   • Disavantages
     • You may be straight or you may not
     • May it touch part of the population that you did not want to be touched
     • Maybe as you have many people you may not know much about them
   • Example: A buisness man need's 20 any person to like to work. In this example the man say that he need 20 any person

2. Systematic Random Sampling

   • Advantage
     • The number is also assigned to each element of population.
     • You list all the members of the population, and then decided upon a sample you would like
     • You have the popullation very orgnized
   • Disavantage
     • It is very difficult to achieve.
     • If you have a lot of popullation us very dificult to do
   • Example: you wanted to sample 150 children from a school of 1,500, you would take every 10th name.

3. Stratified Random Sampling

   • Advantage
     • You have a list is made of each variable, which might have an effect on the research.
     • You have a lot of subgroups
     • You can choose wathever subgroup is to depend that you need's
   • Disavantage
     • We have to work out the relative percentage of each group
     • A lot of data you need to have
   • Example: You need the percentage of each group at a university e.g. Engineering 10%, Social Sciences 15%, English 20%, Sciences 25%, Languages 10%, Law 5%, Medicine 15% The sample must then contain all these groups in the same proportion as in the target population

4. Cluster Sampling

   • Advantage
     • He separate the population in groups
     • He analays the ech data of a group
   • Disavantage
     • You need to analyse a lot of datas
     • It's difficult to do
     • Example: You have a lot of students, and you have different grades and you need to separate the 8,7,6 and then you agroup the grades, that is cluster sampling

5. Quota Sampling

   • Advantage
     • You will have just what you needed
     • This sampling is very effective
   • Disavantage
     • You may reject many people because they do not meet the quota
     • Almost you don't find what do you want
     • A lot of people hate you because you put a quota
   • Example: You need 4 pearson to play basketball and you interview 12 pearson but only 3 play basketball, Then you need 2 more basketball players

6. Convenience Sampling

   • Advantage
     • You chose your priority pearsons
     • Selected by statistical criteria.
     • You choose whoever you want
   • Disavantage
     • A lot of people hate you
     • Maybe in some ocations it's not good apply this sampling
   • Example: You need a pearson who know about statics and you have 5 candidates and one of that candidates is your nephew and your choose your familiy