Which of the following is an example of stratified sampling? A poll asked a random sample of 1,327 adults whether they supported stronger gun control measures. 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. In order to assess public attitudes on good nutrition the the first 40 people to leave a large grocery store were interviewed. 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.

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 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 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

Which of the following are examples of sampling bias? Select all that apply. 1 分A clinical study includes three times more men than women. An election poll only interviews people with college degrees.A teacher gives higher grades to essays written in their own writing style.A survey of students does not include homeschooled students.