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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

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

You will get a DOCX (28KB) file

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