Prepare a legitimate and "business-oriented" research example, and explain how sampling can apply to this real-world business / economic environment or instance in a similar way which was done on the five examples in the "Inferential Statistics" Reading Resource. Be sure to incorporate correct terminology and integration of concepts of Inferentials (https://onlinestatbook.com/2/introduction/inferential.html). Rather than "literally" trying to convert their example(s) into yours (by merely rewording), be sure to understand sampling through their examples and then construct your research scenario where sampling would be applied to solving your business research example.

You need to devise a legitimate use of a business research situation where "data" needs to be collected and analyzed. Describe the situation/scenario ("the problem") and what type of data is required, and incorporate an example of how you would decide what the various components of the population and sample. Also, discuss the constraints and limitations your methodology would have and its strengths and benefits.

To develop an appropriate example, understand what sampling is used for. Be sure to have read all the course readings and know the concept(s) and terminology. Then try to come up with an appropriate example.

Your example should be similar to one of the five examples and include further discussion of the sampling issues, such as that which follows "Example # 5" (under Inferentials (https://onlinestatbook.com/2/introduction/inferential.html). Example # 5 is "boxed in," followed by additional discussion. Yours should be similar.

Be sure to define what you are studying (via example), the population, the sample, and issues that need to be addressed. Also, discuss your example's advantages and disadvantages/pros and cons. Integration of sampling issues (and attribution) is essential.