From Graphs to Predictions: Understanding Data with the Normal Distribution
Project Deliverable tie to Competency
In module 02, you will summarize graphical and numerical methods to represent quantitative
data. This includes utilizing the central limit theorem to calculate probabilities for real-world
problems. It will also require you to analyze the standard normal distribution to identify z-values
and the area under the curve. You will illustrate how to find probabilities, proportions, and
percents by using Excel formulas. You will also demonstrate how to identify the z-score given a
probability. These concepts allow you to make predictions and analyze the data provided.
Student Success Criteria
View the grading rubric for this deliverable by selecting the “This item is graded with a rubric”
link, which is located in the Details & Information pane.
Scenario
Your boss at RAS Direct has some problems that need to be solved to help with projects they
are attempting to start. Your job is to solve the problems and explain the methods to your boss.
The Excel Workbook is provided below.
In your submission, include the Excel formulas to find these calculations. Your boss must know
the method so they can include the answers in a presentation they are providing later in the
week
Instructions
The Excel Workbook contains four tabs. The first tab contains instructions. The next three tabs
contain several questions for you to answer. Ensure that you are completely answering all questions
with explanations, and your work is shown in Excel when needed.
Submission Requirements
You must submit the Workbook with the completed calculations, answers, and analysis.
Submit your completed assignment by following the directions linked below. Please check
the Course Calendar for specific due dates.
Save your assignment as a Microsoft Excel workbook. (Mac users, please remember to
append the “.xlsx” extension to the filename.) The name of the file should be your first initial
and last name, followed by an underscore and the name of the assignment, and an
underscore and the date. An example is shown below:
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