Section A should be completed on attached template. About 15 sentences. Section B-E should be 2-4 Pages

A. Describe a real-world business situation that could be addressed by collecting and analyzing a set of data from publicly available sources. (The business of chose is going to be the NBA National Basketball Association)

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 all of the data that you will need to collect that is relevant to the situation or question.

Note: Identify the specific data relevant, such as time period, sample size, etc.

Note: A sample size of 30 is the suggested minimum size.

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

Note: The data gathering method can include data sources (e.g., databases, surveys, behavioral observations, online sources, etc.)

5. Identify an appropriate data analysis technique from the approved list above to analyze this data.

a. Explain why the data analysis technique you chose is an appropriate technique to analyze the data collected. CHOOSE 1 from below

Recommended Analysis Techniques:

• regression (linear regression, multiple regression, or logistic regression)

• time series or trend analysis

• chi-square

• t-test (one sample, two independent samples, or paired)

• ANOVA

• crossover analysis

• break-even analysis

• statistical process control

• linear programming

Create a report (suggested length of 2–4 written pages or 800 words) by doing the following:

B. Summarize the real-world business situation you identified in Section A.

C. 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., bar chart, scatter plot, line chart, or histogram) of the data you collected.

Note: This display should be a summary or representation of your data, not raw data.

D. Report how you analyzed the data using an analysis technique from the given list by doing the following:

1. Describe an appropriate analysis technique that you used to analyze the data.

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

3. Justify why you chose this analysis technique.

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

1. Discuss the results of your data analysis.

2. Discuss the limitation(s) of your data analysis.

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