(b) Briefly give an example each of studies where you can apply (i) stratified sampling and (ii) cluster sampling at Oakland University. (c) Give one weakness that you must beware when collecting data by a sampling method.
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- Give one situation where each of the sampling methods is being applied. 1. Cluster Sampling 2. Multi-stage Sampling1. XYZ Cable corporation employs 2,500 people. If a random sample of 165 is taken from the entire population by systematic sampling How will you choose this starting number? How will you prepare a frame for this study?Can you please explain the difference between stratified sampling and cluster sampling? If possible, can you give an example of each of the two :)
- If samples of a fixed size N are drawn randomly and with replacement from the same population of scores, should we expect the sample means to differ across samples? why or why not?#2.The Gallup organization periodically polls adults living in the U.S. about the issue ofimmigration. Participants are asked whether they think immigration should increase,decrease, or stay at present levels. When this question was asked in June of 2016, 38%of respondents said they thought immigration should decrease. When it was asked inJune of 2018, 29% of respondents said they thought immigration should decrease.For the purpose of this problem, suppose that the sample size was 200 in both 2016 and2018, and that each represented a simple random sample of adults living in the U.S. atthat time. Is there evidence for a real change in opinion among U.S. adults between2016 and 2018, or do you think the results are just due to chance? Carry out all thesteps for a two-sample z test and state your conclusion. Suppose I had told you in #2 that the same people had been surveyed in 2016 and 2018.What’s the problem with carrying out the two-sample z test in this case?1: Identify two limitations to using the k-means approach to clustering data. 2: a)Define what is meant by a simple random sample. b)Outline how Excel can be used to extract a simple random sample from a larger census of data.
- When a researcher uses random sampling in their study, they are most likely concerned with: When a researcher uses random sampling in their study, they are most likely concerned with: a.Increasing the internal validity of the study by creating a representative sample. b. Increasing the external validity of the study by creating a representative sample. c. Increasing the external validity of the study by reducing the potential for confounding variables. d. Increasing the internal validity of the study by reducing the potential for confounding variables.. The Gallup organization periodically polls adults living in the U.S. about the issue ofimmigration. Participants are asked whether they think immigration should increase,decrease, or stay at present levels. When this question was asked in June of 2016, 38%of respondents said they thought immigration should decrease. When it was asked inJune of 2018, 29% of respondents said they thought immigration should decrease.For the purpose of this problem, suppose that the sample size was 200 in both 2016 and2018, and that each represented a simple random sample of adults living in the U.S. atthat time. Is there evidence for a real change in opinion among U.S. adults between2016 and 2018, or do you think the results are just due to chance? Carry out all thesteps for a two-sample z test and state your conclusion