week 3
Identify a research variable within the problem/opportunity that could be measured with some type of data collection.
Consider methods for collecting a suitable sample of either qualitative or quantitative data for the variable.
Consider how you will know if the data collection method would be valid and reliable.
Develop a 1,050-word analysis to describe a company, problem, and variable.
Include the following in your submission:
Identify the name and description of the selected company,
Describe the problem at that company,
Identify one research variable from that problem,
Describe the methods you would use for collecting a suitabl
Remember: do not actually collect any data; think hypothetically.
Develop a 1,050-word report in which you:
Identify the types of descriptive statistics that might be best for summarizing the data, if you were to collect a sample.
Analyze the types of inferential statistics that might be best for analyzing the data, if you were to collect a sample.
Analyze the role probability or trend analysis might play in helping address the business problem.
Analyze the role that linear regression for trend analysis might play in helping address the business problem.
Analyze the role that a time series might play in helping address the business problem.
Format your assignment consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.
04:47
Include on the slides what you’d want the audience to see (include appropriate visual aids/layout) and include in the Speaker’s Notes section what you’d say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references.
Draw on material you developed in the Weeks 3-4 assignments.
Include the following in your presentation:
Introduction slide
Agenda slide
Describe the organization, with a brief description
Explain the business problem or opportunity
Analyze why the business problem is important
Identify what variable would be best to measure for this problem. Explain why.
Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability, linear regressio
