Business Analytics: Data Analysis & Decision Making by S. Christian Albright, Wayne L. Winston

By S. Christian Albright, Wayne L. Winston

Turn into a grasp of information research, modeling, and spreadsheet use with enterprise ANALYTICS: facts research AND choice MAKING, 5E! This quantitative equipment textual content offers clients with the instruments to be successful with a teach-by-example method, student-friendly writing kind, and entire Excel 2013 integration. it's also appropriate with Excel 2010 and 2007. challenge units and instances supply reasonable examples to teach the relevance of the fabric. The spouse web site contains: the Palisade DecisionTools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); SolverTable, which lets you do sensitivity research; facts and recommendations documents, PowerPoint slides, and educational video clips.

Show description

Read or Download Business Analytics: Data Analysis & Decision Making PDF

Similar statistics books

Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists (Updated Edition)

The following, via well known call for, is the up to date variation to Joel Best's vintage advisor to knowing how numbers can confuse us. In his new afterword, top makes use of examples from contemporary coverage debates to mirror at the demanding situations to enhancing statistical literacy. due to the fact its book ten years in the past, Damned Lies and information has emerged because the go-to guide for recognizing undesirable records and studying to imagine severely approximately those influential numbers.

Computational and Mathematical Modeling in the Social Sciences

Mathematical types within the social sciences became more and more refined and frequent within the final decade. this era has additionally visible many opinions, so much lamenting the sacrifices incurred in pursuit of mathematical perfection. If, as critics argue, our skill to appreciate the area has now not more desirable in the course of the mathematization of the social sciences, we'd are looking to undertake a distinct paradigm.

Computational Statistics: Volume 1: Proceedings of the 10th Symposium on Computational Statistics

The position of the pc in facts David Cox Nuffield university, Oxford OXIINF, U. okay. A type of statistical difficulties through their computational calls for hinges on 4 elements (I) the quantity and complexity of the knowledge, (il) the specificity of the targets of the research, (iii) the large features of the method of research, (ill) the conceptual, mathematical and numerical analytic complexity of the equipment.

Performance metrics : the levers for process management

Which functionality measures in case you use? the most obvious resolution is that it depends upon what you need to in achieving, which another person shouldn't ever outline for you. in any case, it's your association, your division, or your procedure. yet when you are transparent approximately what you must accomplish, how do you variety via quite a few attainable metrics and judge that are top?

Additional info for Business Analytics: Data Analysis & Decision Making

Example text

A second way to verify a model is to enter a number of input parameters (even if they are not the company’s current inputs) and see whether the outputs from the model are reasonable. One common approach is to use extreme values of the inputs to see whether the outputs behave as they should. If they do, this is another piece of evidence that the model is reasonable. 14 Chapter 1 Introduction to Data Analysis and Decision Making Copyright 201 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part.

Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. 3 represents 30 responses from a questionnaire concerning the president’s environmental policies, where 20 of the observations have been hidden. ) Identify the variables and observations. Objective To illustrate variables and observations in a typical data set.

Despite this, FDR was a landslide winner. The discrepancy arose because the readers of the Literary Digest were not at all representative of most voters in 1936. Most voters in 1936 could barely make ends meet, let alone subscribe to a literary magazine. Thus, the typical lower-to-middle-income voter had almost no chance of being chosen in this sample. 22 Chapter 2 Describing the Distribution of a Single Variable Copyright 201 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part.

Download PDF sample

Rated 4.42 of 5 – based on 45 votes