The city of Bridgeport has an estimated population of 144,229 as of the year 201

Question

The city of Bridgeport has an estimated population of 144,229 as of the year 2010 (source: http://en.wikipedia.org/wiki/Bridgeport,_Connecticut). You want to do a simple random sample of all of the people in the city (that you determine to be eligible for the survey) so that you can do a survey dealing with the quality of health care in the city. You want to take a sample of 25,000 people from the population.
a. Where would you obtain a list of as many people as possible in Bridgeport? What is one ethical questions to ask when trying to compile such a list.
b. What are two criteria for inclusion in the sample?
c. What are two criteria for exclusion in the sample?
d. Is the method of simple random sampling practical for the sample you are attempting to obtain? If so, provide your reasoning why it is practical, and provide a description of what you would do to obtain the sample. If you do not believe that simple random sampling is practical, name a method that you believe is practical, provide your reasoning why it is practical, and give a description of what you would do to obtain the sample

Explanation / Answer

Ethical Principles to be kept in mind while obtaining the list of population is

Ans: Inclusion criteria in the sample would be;

Ans: Exclusion criteria in the sample would be;

- Who are not willing to participate in the study

- Who are guests or visitors and migrant population to city of Bridgeport

d. Is the method of simple random sampling practical for the sample you are attempting to obtain? If so, provide your reasoning why it is practical, and provide a description of what you would do to obtain the sample. If you do not believe that simple random sampling is practical, name a method that you believe is practical, provide your reasoning why it is practical, and give a description of what you would do to obtain the sample

Ans: The simple random sampling is the usually the best method of sampling when using small and large sample, but to have a perfect representative sample from all group of people residing in a particular area of interest its better to choose the other method of probability sampling that is Stratified Random Sampling.

Stratified Random Sampling: it is a type of random sampling where you divide the whole population into subgroups and have a defined classification of population. Here you also give equal chance to each subgroup to have equal chance of being selected in the study by reducing the bias.

Example: the whole population could be divided into

Reasons for selected Stratified random sampling over simple random;

Procedure:

drawn for the study.

Disadvantages and Delimits:

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