research 3rd quarter

a method of selecting participants (samples) in your study from the total population.  

• sampling

• probability

• gathering

• picking

The number of individuals or observations included in an experiment is called

• sample number

• people numbers

• sample size

• people size

utilizes random sampling techniques to select individuals to create sample

• random sampling

• probability sampling

• simple random sampling

• multi random sampling

probability sampling is also known as

• systematic sampling

• stratified random sampling

• simple random sampling

• random sampling

It is a list of all the items in your population from which the sample is selected.  It is a complete list of everything or everyone you want to include in your study.  This will provide a means in selecting the sample.

• sample size

• sampling frame

• sample number

• sample

every member of the population has an equal chance of being selected in the study. Your sampling frame should include the whole population

• simple random sampling

• systematic sampling

• stratified random sampling

• random sampling

what type of example is this, you want to select a simple random sample of 50 Grade 9 STE students from Angeles City.  Assuming there are 310 Grade 9 STE students in the Angeles City.  You assign a number to every Grade 9 STE student from 1 to 310 and use a random generator to select 50 numbers.    

• probability sampling

• systematic sampling

• stratified random sampling

• simple random sampling

randomly selecting individuals from subgroups of the population to ensure those groups are appropriately represented in the study sample.  

• systematic sampling

• stratified random sampling

• probability sampling

• random sampling

what do you call the subgroups of a stratified random sampling

• elements

• strata

• sample size

• subgroups

what typeof sampling is this example, the company has 700 female employees and 300 male employees. You want to ensure that the sample reflects the gender balance of the company, so you sort the population into two strata based on gender. Then you use random sampling on each group, selecting 70 women and 30 men, which gives you a representative sample of 100 people.

       

• systematic

• simple random

• stratified random

• probability