ASSIGNMENT | Decision Modeling and Analysis

Final Paper

The Final Paper provides you with an opportunity to integrate and reflect on what you have learned during the class.

During the course, you have applied a variety of methods to analyze data sets and uncover important information used in decision making. Having a good understanding of these topics is important to be able to apply them in real-life applications. Below are some of the key elements that were discussed throughout this course. Analyze each of the elements below. In your analyzation, consider and discuss the application of each of these course elements in analyzing and making decisions about data. Incorporate real-life applications and scenarios.

The course elements include:

Probability
Distribution
Uncertainty
Sampling
Statistical Inference
Regression Analysis
Time Series
Forecasting Methods
Optimization
Decision Tree Modeling

The paper must (a) apply and reference new learning to each of the ten course elements, (b) build upon class activities or incidents that facilitated learning and understanding, and (c) present specific current and/or future applications and relevance to the workplace for each of the ten course elements.

The emphasis of the paper should be on modeling applications, outcomes, and new learning.

The paper

Must be 2000-2500 words (excluding title page and references page), double-spaced, and formatted according to APA style

SAMPLE SOLUTION

Decision Modeling and Analysis
Statistical techniques play an essential role in enhancing decision modeling and analysis. Research shows that combining different analytical techniques and models are effective in forecasting as opposed to using a single approach (Sanwlani & Vijayalakshmi, 2013). In an attempt to improve the forecast accuracy and quality, managers, scientist among other decision making persons have opted to combine various forecast techniques. Combining such models not only helps in minimizing risks but also it helps to improve the accuracy (Albright & Winston, 2017). The forecast value is achieved through calculating and combining a given consistent model for a sequence that is in the test phase….