Answer:
1. False.
II. False.
III. True.
Step-by-step explanation:
In Statistics, sampling can be defined as a process used to collect or select data (objects, observations, or individuals) from a larger statistical population using specific procedures.
There are various types of sampling used by researchers and these are;
a. Random sampling.
b. Systematic sampling.
c. Stratified sampling.
d. Cluster sampling.
e. Opportunity or convenience sampling.
1. False: Using a systematic sample guarantees that members of each group within a population will be sampled. It is a stratified sample that does.
A systematic sampling is a type of probability sampling method which involves the researcher selecting or collecting data from a larger population.
Under systematic sampling method, samples are selected from an ordered (fixed) sample population at periodic interval.
2. False: Using a cluster sample guarantees that members of each group within a population will be sampled. It is a stratified sample that does.
3. True: Using a stratified sample guarantees that members of each group within a population will be sampled.
In Statistics, Stratified random sampling can be defined as a method of sampling that involves dividing a population into smaller groups known as strata.
In stratified random sampling, the strata are formed based on member's shared characteristics (e.g female or male, occupation, education) or attribute (e.g black or white).
