How is a stratified random sample different from a simple random sample? It is less random It is more biased It divides the population into subgroups before sampling It includes every member of the population

What is the advantage of using stratified random sampling over simple random sampling?  A. It requires a smaller sample size  B. It allows for more accurate subgroup analysis  C. It is easier to implement  D. It eliminates the need for a pilot survey

Stratified random sampling is a method of selecting a sample in whichGroup of answer choicesthe population is first divided into groups, and then random samples are drawn from each groupvarious strata are selected from the sampleNo answer text provided.the sample is first divided into groups, and then random samples are taken from each group

What is the primary advantage of stratified random sampling?It ensures every individual has an equal chance of being selected.It divides the population into homogeneous subgroups before sampling.It selects samples based on convenience.It selects samples without any specific method

What is the main objective of using stratified random sampling?a.sample was chosen proportionately drawn from the different categories of the populationb.every individual will be given an equal chance to be selectedc.sample is taken from an accessible population than the target populationd.those who will possibly respond to treatment are chosen

What is stratified sampling?