Explain what categories of descriiptive statistics are used in the study and how they are used to communicate the information found in the study and/or any conclusions/solutions posed.

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Course: MAT210 – Data-Driven Decision Making
Assignment 3: Data Analysis and Visualization
Due: Week 9
Points: 150

Skill(s) Being Assessed: Problem Solving – Data Analysis (Quantitative Communication)

Criteria for Success: In this assignment, you will:

Identify the purpose of the article and what problem it is addressing/trying to solve.
Explain what categories of descriiptive statistics are used in the study and how they are used to communicate the information found in the study and/or any conclusions/solutions posed.
Make connections between the information presented/the problem and its larger impact to the world/your major/current job/future career goal.
Create an accurate visual for the data that helps communicate a story/solution to the audience.
Communicate recommended solutions using appropriate language and visuals for the purpose and audience.
What to Submit / Deliverables: The assignment includes an application to a professional conference in two parts:

1. A Conference Application Template [DOCX] with questions to complete.

2. A PowerPoint presentation.

What is the value of doing this assignment? This assignment gives you the opportunity to apply the statistical concepts and methods you have learned throughout the course to a current real world problem. You will continue to practice your problem solving skill through analysis of data—examining how others use descriiptive statistics, and creating your own mathematical visuals in order to analyze and draw conclusions based on this data.

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