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.
Must be 2000-2500 words (excluding title page and references page), double-spaced, and formatted according to APA style as outlined
Must include a separate title page with the following:
Title of paper
Student's name
Course name and number
Instructor's name
Date submitted
REFERENCE
Albright, S. C, & Winston, W. L. (2017). Business Analytics: Data Analysis and Decision Making (6th ed.).
Statistical inference [electronic resource] : a short course / Michael J. Panik. By: Panik, Michael J.. Hoboken, N.J. : Wiley, 2012. xviii, 378 p.
Regression analysis [electronic resource] : statistical modeling of a response variable. By: Freund, Rudolf J.. Burlington, MA : Elsevier Academic Press, c2006. xix, 459 p.
.Production planning forecasting method selection in a supply chain: a case study By: Fikri Dweiri; Sharfuddin Ahmed Khan; Vipul Jain. In: International Journal of Applied Management Science, 2015, 7, 1, 38
Reconciliation as a Tool for Decision Making within Decision Tree Related to Insolvency Problems.By: Polácek, Tomáš; Doubravský, Karel; Dohnal, Mirko. Trends: Economics & Management / Trendy: Ekonomiky a Managementu. 2016, Vol. 10 Issue 25, p33-39. 7p.