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.

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.

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?

In order to attract a national Basketball Association (NBA) expansion team to a large city, the local government would have to agree to construct a new arena, A statistical research firm is hired to investigate support among city residents for a referendum that would raise taxes to subsidize the cost of building the new arena. Based on the differences among the voting districts within the city, the firm decides to use a stratified random sampling design 1o obrain a sample of 1000 city residents. Which of the following methods best achieves the desired sampling design? (A) Send an email survey to all city residents and use the first 1000 returned surveys for the sample. (B) Select one voting district at random, then randomly select 1000 names from the residents in the district to form the sample. (C) From an alphabetized list of all city residents, select the first 1000 residents on the list and then make sure that there is at least one resident from each district in the sample. (D) Select the first 1000 city residents who attend the local college team's next home basketball game to form the sample. (E) Select a random sample from each voting district based on the proportion of city residents in the district so that a sample of size 1000 is obtained.

In order to obtain a sample of voters in Pennsylvania, a simple random sample of 10 counties is selected. From each of the selected counties, 10 precincts are chosen at random. Finally, from each of these 100 precincts , a simple random sample of 20 voters students is selected. Thus, the final sample consists of 2,000 voters.This is an example of:   stratified sampling.   multistage sampling.   convenience sampling.   simple random sampling.   none of the above.