What is stratified sampling?a.Sampling where every individual in the population has an equal chance of being selectedb.Sampling where individuals are selected based on their availability and conveniencec.Sampling where the population is divided into homogeneous groups, and individuals are randomly selected from each groupd.Sampling where the population is divided into clusters, and clusters are randomly selected for inclusion in the sample

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 150 people called the campus radio show to express their opinions about the food establishment on campus.   In order to assess student satisfaction with the food establishment on campus, 100 students from each of the schools on campus were randomly selected (100 business, 100 fine arts, 100 humanities, 100 sciences, and 100 technology) for a total of 500 sampled students.   In order for a city to find out if drivers text while driving, 15 blocks within the city were randomly selected and all the residents on those blocks were interviewed.   A health educator wanted to study the sleeping habits of the undergraduate students in her university. For her study, the researcher chose a simple random sample of 600 students to interview.   The human resources department of a large bank wanted to assess the job satisfaction of the bank's workers. The department interviewed 50 workers in the breakroom during a week of morning breaks.