IT Infrastructure and emerging technologies University of the Potomac Course Name: Enterprise data management and administration/ Course Number: CBSC520-18 IT Infrastructure and emerging technologies Abstract In this chapter we would discuss IT infrastructure and emerging challenges, the stages and drivers of IT infrastructure, current computer software platforms and trends, and challenges of managing IT […]
Weekly Summary 1.1 University of the Potomac CBSC520 Data Analytics Abstract This paper is a concise rundown of what we realized in the First week of our course just as blueprints what we comprehended. In the main week we were acquainted with the Business Analytics: Data Analysis and Decision making, where we found out about
Assignment Name: Weekly Summary 7.1 Course Name and Number: Data Analytics CBSC520 Abstract As written by S. Christian Albright and Wayne L. Winston, in this chapter we would discuss about concepts In Hypotheses testing, null and alternate hypotheses one-tailed versus two-tailed tests, types of errors, significance level and rejection region, significance from p-values, Hypotheses tests
Case Study 2.1 – Assessment of Supply chain efficiency by DEA University of the Potomac CBSC-520 Abstract Conduct a study on the assessment paper of hardwood sawmills prepared using Data Envelopment Analysis (DEA) to identify supply chain inefficiencies when hardwood sawmills were under severe financial pressure. The New York state had about 175 hardwood sawmills
1. Discuss the advantages of constructing a relative frequency distribution as opposed to a frequency distribution. A frequency distribution gives the number of observations or counts that fall in a particular category. The frequencies can be any whole number from 0 to infinity. On the other hand, a relative frequency distribution gives the proportion of observations
1. Discuss what is meant by classical probability assessment and indicate why classical assessment is not often used in business applications. The classical probability assessment method is one in which we define an experiment and an event of interest. Then, we find out the total number of possible outcomes of the experiment where each outcome
Assignment Name: Weekly Summary 5.1 Course Name and Number: Data Analytics CBSC 520 Abstract As written by S. Christian Albright and Wayne L. Winston, in this chapter we would discuss about Probability and probability essentials. We also discuss about elements of decision analysis, Identifying the problems, possible outcomes, Decision trees, One-stage decision problems, Precision tree
Sampling and Sampling Distributions WS 6.1 CBSC520.17 Weekly Summary 6.1 This week we learned two chapters. One was about Sampling and Sampling Distribution and the other on Confidence Interval Estimation. In this summary, we see what the concepts in these chapters help us learn. In Chapter 7, Sampling and Sampling Distribution, we how different types
Weekly Summary 4.1 Course Title: CBSC520 Data Analytics University of the Potomac Abstract In this paper we discussed about what we have learned in this week and following is a summary of what we understood. This week class depicts the topics of what is Normal distribution, Binomial distribution, Exponential distribution and Poisson distribution? The normal
Weekly Summary 3.1 University of the Potomac Data Analytics CBSC 520 Weekly Summary 3.1 In this week, I learned the topics about Probability Essentials like Addition rule, Conditional Probability and Multiplication rule, Equally Likely Events, Probability Distribution of a single variable, Summary Measures of a Probability Distribution, Conditional Mean and Variance and Introduction to Simulation. The addition