# How and Why Do Samples Work?

The flashcards below were created by user ninabolong on FreezingBlue Flashcards.

1. a small collection of units taken from a larger collection
Sample
2. a larger collection of units from which a sample is taken
Population
3. a sample drawn in which a random process is used to select units from a population

there are best to get an accurate representation of the population

but are difficult to conduct
Random sample
4. a non-random sample in which you use a non-systematic selection method that often produces samples very unlike the population
• Four Types of Non-Random Samples
• Convenience sampling(Accidental or Haphazard)
5. non-random sample in which you use any means to fill pre-set categories that are characteristics of the population
• Four Types of Non-Random Samples
• Quota Sample
6. a non-random sample in which you use many diverse means to select units that fit a very specific characteristics
• Four Types of Non-Random Samples
• Purposive(Judgmental) sampling
7. a non-random sample in which selection is based on connections in a pre-exisiting network
• Four Types of Non-Random Samples
• Snowball(network) sampling
8. a specific list of sampling elements in the target population
Sampling frame
9. any characteristic of the entire population that you estimate from a sample
population parameter
10. the ration of the sample size to the size of the target population
sampling ratio
11. Why use a Random Sample?
Random samples are most likely to produce a sample that truly represents the population

they are purely mathematical or mechanical

allow calculation of probability of outcomes with great precision
12. sample elements selected from the frame based on a mathematically random selection procedure
simple random samples
 Author: ninabolong ID: 230777 Card Set: How and Why Do Samples Work? Updated: 2013-08-21 12:30:25 Tags: Sampling Folders: Description: Sampling Show Answers: