Competency

Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.

Scenario

According to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).

As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.

Concepts Being Studied

• Correlation and regression
• Creating scatterplots
• Constructing and interpreting a Hypothesis Test for Correlation using r as the test statistic

You are given a spreadsheet that contains the following information:

• Magnitude measured on the Richter scale
• Depth in km

Using the spreadsheet, you will answer the problems below in a PowerPoint presentation.

What to Submit

The PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.

• Slide 1: Title slide
• Slide 2: Introduce your scenario and data set including the variables provided.
• Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
• Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
• Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
• Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
• Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
• Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.

Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.

 

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Part One: PLC Exercise

The intent of this assignment is to familiarize you with different PLCs from various industries. Additionally, this assignment will help you develop an in-depth understanding of relationships between project management processes and a PLC.

• Create a generic PLC and describe its various phases. You may use Microsoft PowerPoint or other software (for example, Microsoft Excel) to create a simple graphic depicting the different phases of a PLC.
• Discuss the various project management process groups (initiating, planning, executing, monitoring and controlling, and closing) and explain how they relate to the phases of a PLC.
• After you have completed the life cycle analysis, discuss the similarities and differences among the life cycles of construction, information technology, and business projects.

Part Two: Final Project: Completed Project Plan and Presentation (Due in Week 5)

The final project flows from Week 1 to Week 5. For the final project, you need to choose a project topic and submit it for your instructor’s approval. The instructor may assign a project scenario if the proposed project topic is not deemed adequate to meet the learning objectives of the course.

After the approval, you will submit specific project deliverables each week. In Week 5, you need to submit a final written plan and a presentation of the project. You are encouraged to use Microsoft Project (or other project management software tools), but its use is not required for this introductory project.

 

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