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 first-year students at a university are enrolled in one of 50 sections of a seminar course. To select a sample of freshmen at this university, a researcher selects four sections of the seminar course at random from the50 sections and all students in the four selected sections are included in the sample.O cluster samplingO simple random samplingO stratified random samplingO systematic samplingO convenience sampling(b) To obtain a sample of students, faculty, and staff at a university, a researcher randomly selects 60 faculty members from a list of faculty, 100 students from a list of students, and 50 staff members from a list of staff.O cluster samplingO simple random samplingO stratified random samplingO systematic samplingO convenience sampling(c) A university researcher obtains a sample of students at his university by using the 86 students enrolled in his Psychology 101 class.O cluster samplingO simple random samplingO stratified random samplingO systematic samplingO 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 15 slips. The students whosenames are on the selected slips of paper are included in the sample.O cluster samplingO simple random samplingO stratified random samplingO systematic samplingC conv nce sampling(e) To obtain a sample of those attending a basketball game, a researcher selects the 27th person through the door. Then, every 50th person after that is also included in the sample.O cluster samplingO simple random samplingO stratified random samplingO systematic samplingO convenience sampling

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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. Choose at least two (2) non-probability sampling techniques and base on your understanding, explain them with your own words. Convenience Sampling Snowball Sampling
A sampling technique in which the researcher uses the referrals of the respondent is known as a. Simple Random Sampling b. Stratified Random Sampling c. Systematic Random Sampling d. Snowball Sampling
4
Suppose you recruit the next 100 people who visit the DCC cafeteria to participate in a survey. One of the questions you ask is whether the student eats on campus (i.e., in the cafeteria) regularly, and you want to use the sample proportion to estimate the value of the (population) proportion of all DCC students who eat on campus regularly. Do you think this sampling method is likely to be biased? If so, in which direction? This sampling method is not likely to be biased and will produce a representative sample of DCC students. This sampling method is biased and is likely to yield an overestimate for the population proportion. This sampling method is biased and is likely to yield an underestimate for the population proportion.
A worker wants to determine the average weight of fish fillets in his freezer. There are hundreds of boxes of fillets in the freezer with each box containing 15 fillets. He randomly selects 10 boxes of fish at random and pools all fillets in the 10 chosen boxes together as his sample. Is this simple random sampling, stratified sampling, or cluster sampling?
From a population of 300 you are going to select 50. Using the systematic sampling technique where 5 is the random start, what is the 4th sample unit?
When designed experiments are conducted in a public school systems, researchers typically choose a particular district and randomly select classes (for example, fourth grade classes in that district). The experiment is then conducted using all the students in the selected classes. Which type of sampling scheme is implemented? O A simple random sample (SRS) O A voluntary response sample O A systematic random sample O A stratified random sample O A cluster sample
10
When the Bureau of Labor Statistics conducts a survey, it begins by partitioning the United States adult population into 2,0072,007 groups called primary sampling units. Assume that these primary sampling units all contain the same number of adults. If you randomly select one adult from each primary sampling unit, is the result a simple random sample. Why or why not?
If groups of participants are selected to represent sub-groups in the population (e.g. such as selecting an entire class of Social Work students to be compared to a group of Sociology students), this is known as Select one: a. Cluster sampling. b. Haphazard sampling. c. Simple random sampling. d. Opportunity sampling.
What is the sampling method described? The population is divided into groups where similar cases are grouped together. Then second sampling method is employed to sample the cases within each group. a. A simple random sampling b. Stratified sampling c. Cluster sampling d. Multi-stage sampling
A marketing expert for a particular chain of restaurants is planning a survey in which 510 people will be randomly selected from each age group: 10-19, 20-29, and so on. What type of sampling is used? Convenience sampling Simple random sampling Systematic sampling Stratified sampling Cluster sampling Is the procedure likely to yield a representative sample or a biased sample? Explain why. A. The procedure is likely to yield a representative sample because it covers every age group. B. The procedure is likely to be biased because people from those age groups are not evenly distributed throughout the population. C. The procedure is likely to yield a biased sample because younger people don't know what they want and should be studied separately. D. The procedure is likely to be representative because 510 people from each age group form a large sample size.

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