STATS - Sampling ( 6)

Probability Sampling:

• Everyone has a chance to be included.
  Example: You have a class of 30 students, and you randomly pick 5 to interview. Every student has a chance to be chosen.

Random Sampling:

• Simple Random Sampling: Everyone has an equal chance.
  Example: You put all students' names in a hat and pick 5 randomly.

• Systematic Sampling: Pick every nth person.
  Example: You have a list of 30 students. You decide to pick every 5th student on the list.

Stratified Sampling:

• Split into smaller groups and pick from each group.
  Example: You divide students by gender (male and female). Then, randomly pick 3 students from each group.

• Proportionate Sampling: Pick people in proportion to their group size.
  Example: If 70% of the class is female, pick 70% of your sample from the female students.

• Disproportionate Sampling: Pick more from certain groups to compare them.
  Example: If 10% of the class is male but you pick 50% of your sample from male students to compare their answers to females.

Area/Cluster Sampling:

• Pick large areas, then smaller ones, then people.
  Example: You randomly pick 3 states, then pick 2 cities in each state, and then pick 5 students from each city.