a) Nonprobability Sample
b) Probability Sample
c) Snowball Sampling
d) Purposive Sample
2. If you are particularly concerned about how well a sample represents a population, you should pay particular attention to the:
a) nonprobability design
b) sampling frame
c) sampling interval
d) cluster design
3. The most carefully selected sample is almost never a perfect representation of the population from which it was selected. Some degree of sampling error always exists.
Do you agree??
4. How do we conduct a simple random sample?
5. List the types of non-probability sampling techniques.
This material may consist of step-by-step explanations on how to solve a problem or examples of proper writing, including the use of citations, references, bibliographies, and formatting. This material is made available for the sole purpose of studying and learning - misuse is strictly forbidden.Non-probability Sample
Non-probability sample is defined as a non-probability that does not require or involve random selections, which probability sampling does require non-probability sampling, as cited in Brus & DeGruijter (2003).
Probability sample is various methods of sampling that can be used in other forms of random selection. To utilize random sampling, researchers must be able to examine the populations and the different units of equal probabilities that is utilize in the research, as cited in Brus & DeGruijter (2003)....