A company decided to survey its employees to see how they felt about receiving a new computer and how much they would be willing to lose in pay for this offer. a) The computer company made a list of all departments of employees of the company and then randomly selected four departments. All employees in the selected four departments were surveyed. Systematic random sample Stratified random sample Cluster sampling None of the above A record label decided to survey university students to see what genre of music they like. b) The record label made a list of all the degrees being taken at the university and then randomly selected four. All students in the selected four degrees were surveyed. Systematic random sample Stratified random sample Cluster sampling None of the above A house builder took a survey of their employees to see how they felt about having a medical plan and how much they would be willing to pay for the plan. c) The builder made a list of all trades of employees of the company and then randomly selected four trades. All employees in the selected four trades were surveyed. Systematic random sample Stratified random sample Cluster sampling None of the above
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All employees in the selected four departments were surveyed. This is an example of: $\boxed{\text{Cluster sampling}}$ Show moreā¦
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(a) A bank analyst wants to ask customers who have a mortgage with the bank about the customers' home-buying experiences. Which of the following best describes a systematic sample of customers? The analyst uses a computer program to draw 80 customers at random and selects these customers. Every set of 80 customers is equally likely to be drawn by the computer program. The analyst forms 4 groups of customers based on the customers' mortgage amounts. Then, she selects 20 customers at random from each group. The analyst takes a list of the customers and selects every 4th customer until 80 customers are selected. (b) A manager at a bus company wants to survey employees about the new uniforms. Which of the following best describes a convenience sample of employees? The manager asks for volunteers and selects every volunteer until 56 employees are selected. She selects the volunteers because these employees are easily accessible. The manager uses a computer program to draw 56 employees at random and selects these employees. Every set of 56 employees is equally likely to be drawn by the computer program. The manager takes a list of the employees and selects every 7th employee until 56 employees are selected. (c) A consultant wants to ask workers at a factory about the workers' job satisfaction. Which of the following best describes a stratified sample of workers? All of the workers on the second floor of the factory building are easily accessible. So, the consultant selects the first 90 workers from the second floor to arrive at work on a particular day. The consultant forms groups of 30 workers based on the lengths of time the workers have worked at the factory. Then, he randomly chooses 3 groups and selects all of the workers in these groups. The consultant forms 5 groups of workers based on the workers' shifts. Then, he selects 18 workers at random from each group.
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For each of the situations described, state whether the sampling procedure is simple random sampling, stratified random sampling, cluster sampling, systematic sampling, or convenience sampling. (a) All freshmen at a university are enrolled in 1 of 30 sections of a seminar course. To select a sample of freshmen at this university, a researcher selects 4 sections of the seminar course at random from the 30 sections and all students in the 4 selected sections are included in the sample. cluster sampling simple random sampling stratified random sampling systematic sampling convenience sampling (b) To obtain a sample of students, faculty, and staff at a university, a researcher randomly selects 50 faculty members from a list of faculty, 100 students from a list of students, and 30 staff members from a list of staff. cluster sampling simple random sampling stratified random sampling systematic sampling convenience sampling (c) A university researcher obtains a sample of students at his university by using the 85 students enrolled in his Psychology 101 class. cluster sampling simple random sampling stratified random sampling systematic sampling convenience sampling (d) To obtain a sample of the seniors at a particular high school, a researcher writes the name of each senior on a slip of paper, places the slips in a box and mixes them, and then selects 10 slips. The students whose names are on the selected slips of paper are included in the sample. cluster sampling simple random sampling stratified random sampling systematic sampling convenience sampling (e) To obtain a sample of those attending a basketball game, a researcher selects the 24th person through the door. Then, every 50th person after that is also included in the sample. cluster sampling simple random sampling stratified random sampling systematic sampling convenience sampling
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The registrar of a college with a population of N = 3,600 students is asked by the president to conduct a survey to measure satisfaction with the quality of life on campus. The accompanying table contains a breakdown of the 3,600 registered students by gender and class designation. The registrar intends to take a probability sample of n = 100 students and project the results from the sample to the entire population of full-time students. Complete parts (a) through (e). a. If the frame available from the registrar's files is an alphabetical listing of the names of all N = 3,600 registered students, select all types of samples you could take. Discuss. A. A systematic sample could be selected dividing the N = 3,600 students into n = 100 groups and then selecting the 17th student in each group. B. A simple random sample could be taken by randomly selecting n = 100 students, where each student has an equal probability of being selected. C. A cluster sample could be selected by dividing the population into separate clusters defined by some naturally occurring groups, such as geographic location, and then choosing a random sample from each cluster. D. A stratified sample could be selected by dividing the population into separate subpopulations (or strata) defined by some common characteristic, such as gender, and then choosing a random sample from each strata.
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