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

What is stratified sampling?

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 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

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

Which of the following is an example of stratified sampling? A sample of 37 people who came to speak before the city council on the proposed water conservation plan were surveyed. The human resources department of a large retail chain wanted to assess the job satisfaction of the retail workers. The department chose 25 of the company's stores at random, and used all of the workers in those 25 branches as the subjects for the study. Proponents of a local ballot measure conduct a survey of the city by randomly selecting 100 potential voters from each of its 18 zip codes. A poll asked a random sample of 1,327 adults whether they supported stronger gun control measures. In order to assess public attitudes on good nutrition the the first 40 people to leave a large grocery store were interviewed.