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Question: Discuss About The Sampling Presence Of Ancillary Information? Answer: Introducation Who or what would be the precise target population? In a couple of sentences, explain why you have to study a sample of the population. The target population will be the business school students in the college because the business major being introduced will be for them. A sample is best fit study since it consumes less time than studying the population since assessing all the business students within the given time frame may be impossible and it is easier to gather data and make inference with a sample rather than the population (Andrews, L. C., Phillips, R. L. (2005)). A sample is also more precise because you have to deal with a smaller number which produces less error compared to the population. Collecting data from the entire business fraternity may prove to be more costly than collecting from a portion of them. Based on the case you picked, choose one sampling method to gather data from the four methods listed below. Explain the rationale behind your selected method. I would select stratified random sampling since it represents the whole population of interest. It minimizes bias in sample selection and ensures that each and every individual of the fraternity is given an equal chance (Brus, D. J., De Gruijter, J. J. (1997)). Stratified random sampling also minimizes error compared to other sampling techniques given the same population. Explain the step-by-step details about how you are going to put this sampling technique into action. Identify the population of interest. In our case our target population is the business students in the college. Come up with the most suitable stratification. Since we are interested on the views of the business students on the introduction of major in Real Estate we shall subdivide the students according to their respective year groups which will now form the basis of our strata. Come up with a list of the population. We should be able to identify all the students in the college taking business courses. This may be achieved by accessing their records as it would provide relevant information on the total of these students. Come up with a list of the population from the chosen strata. We can now assign a number say 1 to N to each student in each stratum. From this we will end up with a list of the respective year groups. Identify your sample size. The time and budget allocated for this research can be an essential tool in determining the sample size usually denoted by n. A sample size can also be determined using a sample size calculation. Assign each stratum an equal sampling fraction. The sample size in each stratum should be proportionate to population (Onwuegbuzie, A. J., Leech, N. L. (2007)). For example, if each of our stratum contains 90, 120, 60 and 120 respectively. We can take a sampling fraction of ? from each stratum to get a final sample size of 30, 40, 20 and 40 respectively. As we have our sample size we can use either simple random or systematic sampling to come up with a sample. Prepare a questionnaire of 5 questions that you would use to acquire necessary information from the sample you selected. Questionnaire Sex of the respondent Male Female The respondents current year of study Would you support the introduction of business major in Real Estate in your school? Yes No Which impact do you think Real Estate will bring to your college? What are the challenges likely to be encountered during its introduction? References Andrews, L. C., Phillips, R. L. (2005).Laser beam propagation through random media(Vol. 152). Bellingham, WA: SPIE press. Brus, D. J., De Gruijter, J. J. (1997). Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with discussion).Geoderma,80(1-2), 1-44. Teddlie, C., Yu, F. (2007). Mixed methods sampling: A typology with examples.Journal of mixed methods research,1(1), 77-100. Gureje, O., Von Korff, M., Simon, G. E., Gater, R. (1998). Persistent pain and well-being: a World Health Organization study in primary care.Jama,280(2), 147-151. Onwuegbuzie, A. J., Leech, N. L. (2007). A call for qualitative power analyses.Quality Quantity,41(1), 105-121. Minasny, B., McBratney, A. B. (2006). A conditioned Latin hypercube method for sampling in the presence of ancillary information.Computers geosciences,32(9), 1378-1388.