SNHU QSO 510 – Module 2 Stock Options, Cars Sold

SNHU QSO 510 – Module 2 Stock Options, Cars Sold

Subject: General Questions    / General General Questions    

Question

QSO 510 Scenario Analysis Guidelines and Rubric
Knowledge of statistics is important foundational knowledge for analyzing data. Equally important is what you can do with that information. An overarching goal
of this course is to consider how statistics informs decision making, or data-based decision making. Throughout this course, you will be asked to make decisions
and then to consider the impact of those choices. Whether in stock trading, in car sales, or on the production floor, the decisions you make as a business
professional should be directly influenced by the data available to you. Careful analysis is the key to data-based decision making.
Each module task below provides a scenario and a list of questions for you to answer using data-based decision making. Module Two: Stock Options
Module Four: Cars Sold
Module Five: Computer Chips
Module Six: Vacation Time
Module Eight: Promotion
Module Ten: Printing Equipment Specifically, the following critical elements must be addressed:
I.
II.
III.
IV. Main Elements
Integration and Application
Analysis
Critical Thinking Guidelines for Submission: Your analysis of the scenario must be submitted as a 1- to 2-page Microsoft Word document with double spacing and 12-point Times
New Roman font.
Instructor Feedback: This activity uses an integrated rubric in Blackboard. Students can view instructor feedback in the Grade Center. For more information,
review these instructions. Rubric
Critical Elements
Main Elements Integration and
Application
Analysis Critical Thinking Articulation of
Response Exemplary (100%)
Thoroughly addresses each of the
main elements found in the
individual prompts and guiding
questions for each scenario
All of the course concepts are
correctly applied
Meets “Proficient” and the
quality of the statistical analysis
is above minimum quality
standards for competent
Draws insightful conclusions that
are thoroughly defended with
peer-reviewed evidence and
examples Proficient (90%)
Adequately addresses all of the
main elements found in the
individual prompts and guiding
questions for each scenario
Most of the course concepts are
correctly applied
Represents competency with
respect to the statistical analysis Needs Improvement (70%)
Addresses most but not all of the
main elements found in the
individual prompts and guiding
questions for scenario
Some of the course concepts are
correctly applied
Statistical analysis is evident, but
does not meet standards Not Evident (0%)
Addresses less than half of the
main elements found in the
individual prompts or guiding
questions for each scenario
Does not correctly apply any of
the course concepts
Statistical analysis is not evident Value
20 Draws informed conclusions that
are justified with evidence based
on peer-reviewed research Draws logical conclusions, but
does not defend with evidence
based on peer-reviewed research Does not draw logical conclusions 10 Submission is free of errors
related to citations, grammar,
spelling, syntax, and organization
and is presented in a professional
and easy to read format Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact readability
and articulation of main ideas Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas
Earned Total 10 20
40 100%