Explain the difference between a simple random sample and a systematic sample.
A. In a simple random sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
B. In a systematic sample, random samples from each strata are included.
C. In a systematic sample, the only samples possible are those including every k^th item from the random starting position.
D. In a systematic sample, every sample of size n has an equal chance of being included.
E. In a simple random sample, every sample of size n has an equal chance of being included.
F. In a simple random sample, the only samples possible are those including every k^th item from the random starting position.
G. In a simple random sample, random samples from each strata are included. In a systematic sample, the casters to be included are selected at random and then all members of each selected duster are included.

Simple random sampling otherwise called probability sampling involves selecting a subset of a part of a population in which each member of the population has equal chances of being selected while systematic sampling involves the use of sampling interval which is determined by dividing the population by the sample size and a random starting point is selected. for example let say we have a population of 1000 people and we want to systematically select 50 people, 1000 / 50 = 20, it means after choosing a random starting point, we select every 20th person after the starting point until the desire sample size has been attained.