Question
DAT-475-12625-M01 Applied Data Analysis PART ONE 1-2 Discussion: Correlation Is Not Causation Statistical analyses help us understand the relationship between two variables. Two major but
DAT-475-12625-M01 Applied Data Analysis
PART ONE
1-2 Discussion: Correlation Is Not Causation
Statistical analyses help us understand the relationship between two variables. Two major but distinct forms of relationship analyses are correlation and causation. Using the term causation when the relationship is that of correlation is a common error that analysts are known to commit. Therefore, you must be able to determine the difference between the terms correlation and causation. It is imperative to understand the distinction to assure that the statistical results are not misinterpreted.
In Discuss, address the following:
- Explain the difference between correlation and causation.
- Describe an example in which two variables are correlated to each other.
- Is there a possibility of this relationship being misconstrued as causation? If so, how?
- What condition(s) are necessary to establish a causation relationship between two variables?
- Discuss the importance of knowing the distinction between correlation and causation.
- What are the possible ill effects of misconstruing the relationship?
- state two additional effects on their scenario that were not initially considered.
PART TWO
Module 1-3 Assignment: Root Cause Analysis
Overview
Root cause analysis (RCA) is a popular technique used to identify factors underlying a problem. It is an analysis of what is causing the gap between the current state of things and the desired state. Organizations often use this technique to uncover factors that lead to an event or occurrence to address those factors. RCA is accomplished by using many analytical tools, but one of the most used is a fishbone diagram.
The head of the fish is used to write the problem statement. Each rib represents a cause that led to the problem situation, and as many causal factors can be included as desired. It is also likely that a causal factor may have many other factors behind it; these are expressed as sub-branches of a rib. Factors also may be categorized into meaningful groups such as people, processes, procedures, methods, budget, or environment.
Prompt
Think of a problem any personal or professional experience. Use the fishbone diagram template from the Additional Resources section of Module One, as below,