1. Summarize one question or decision relevant to the real-world business situation that you will answer by collecting and analyzing a set of data.

2. Explain why the situation or question would benefit from a data analysis.

3. Identify data you will need to collect that is relevant to the situation or question.

Note: A sample size of 30 or more is suggested to provide a statistically reliable finding.

4. Describe the data gathering methodology you will use to collect data.

5. Identify an appropriate data analysis technique you will use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression).

a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected.

Note: The “Decision Tree Presentation” in the Web Links section will help you determine the appropriate analysis technique for your data and business situation.

B. When you use sources to support ideas and elements in a paper or project, provide acknowledgement of source information for any content that is quoted, paraphrased or summarized. Acknowledgement of source information includes in-text citation noting specifically where in the submission the source is used and a corresponding reference, which includes:

• Author

• Date

• Title

• Location of information (e.g., publisher, journal, or website URL)

Using relevant data you have gathered, analyze the data and recommend a solution. This recommendation will be included in a report that you will write, summarizing the key details of your analysis.

The “Decision Tree Presentation” in the Web Links section will help you identify an appropriate technique to analyze the data.

Note: You must successfully pass task 1 before work on task 2 is started.

Requirements:

Create a report (suggested length of 3–5 written pages) by doing the following:

A. Summarize the real-world business situation you identified in task 1.

B. Report the data you collected, relevant to the business situation, by doing the following:

1. Describe the relevant data you collected.

2. Create an appropriate graphical display (e.g., table, chart, descriptive statistics) of the data you collected.

3. Discuss one advantage and one disadvantage of the data gathering methodology you used to collect the data.

C. Report how you analyzed the data using an appropriate analysis technique (e.g., linear programming, crossover analysis, t-test, regression) by doing the following:

1. Describe the analysis technique you used to appropriately analyze the data.

2. Include the output and any calculations of the analysis you performed.

3. Justify why you chose the analysis technique.

4. Discuss one advantage and one disadvantage of the analysis technique.

Note: The “Decision Tree Presentation” in the Web Links section will help you determine the appropriate analysis technique for your data and business situation.

D. Summarize the implications of your data analysis by doing the following:

1. Discuss the results of your data analysis.

2. Discuss the limitations of your data analysis.

3. Recommend a course of action based on your results.

Do you want your assignment written by the best essay experts? Then look no further. Our teams of experienced writers are on standby to deliver to you a quality written paper as per your specified instructions. Order now, and enjoy an amazing discount!!