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ANLY462 - Applied Analytics III

Course Details

Course Code: ANLY462 Course ID: 4881 Credit Hours: 3 Level: Undergraduate

This course covers deeper elements of applied analytics techniques used to identify sources of variation causing business problems, how to design experiments to explore interactions, as well as techniques used to model relationship of business variables as well as quality control. It additionally includes applied tools to predict the future using time series analysis and seasonal forecasting. It integrates statistical analysis and visualization with applied problems. PREREQUISITE: ANLY461





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
05/25/20 - 10/30/20 11/02/20 - 12/27/20 Fall 2020 Session I 8 Week session
06/29/20 - 12/04/20 12/07/20 - 01/31/21 Fall 2020 Session D 8 Week session
07/27/20 - 01/01/21 01/04/21 - 02/28/21 Winter 2021 Session B 8 Week session
08/31/20 - 01/29/21 02/01/21 - 03/28/21 Winter 2021 Session I 8 Week session
09/28/20 - 02/26/21 03/01/21 - 04/25/21 Winter 2021 Session D 8 Week session

Current Syllabi

After successfully completing this course, you will be able to:

CO-1: Identify Test of hypotheses about single or two population proportions; observed set and expected frequency distributions, normal or otherwise.

CO-2: Construct a Chi-square test of hypothesis and calculate statistic for goodness of fitness and independence on a contingency table.

CO-3: Review use sign tests, Wilcoxon tests, or the Kruskal-Wallis tests of populations.

CO-4: Compute and apply seasonal indexes to make seasonally adjusted forecasts.

CO-5: Analyze the implications on the business decision-making process when given a set of descriptive statistics.

CO-6: Explain the steps and why we compute for acceptance sampling.

CO-7: Explain how to use a decision tree to analyze decision making under uncertainty and how do you it’s illustrated.

Required Course Textbooks:

Statistical Techniques in Business and Economics, 16th Edition

Lind, Douglas.

URL:

https://bookshelf.vitalsource.com/books/0077639723/pageid/0

The VitalSource e-book is provided via the APUS Bookstore

Please visit http://apus.libguides.com/bookstore for more information

Web Sites

In addition to the required course texts, the following public domain web sites are useful. Please abide by the university’s academic honesty policy when using Internet sources as well. Note web site addresses are subject to change.

Site Name

Web Site URL/Address

American Psychological Association (APA) Style Website

www.apastyle.org

Purdue Online Writing Lab

http://owl.english.purdue.edu/owl/resource/560/01/

YouTube Video on Formatting an APA Style Paper

http://www.youtube.com/watch?v=9pbUoNa5tyY&feature=related

Regression Examples

http://www.stat.ufl.edu/~winner/Regression_Examples.html

YouTube Videos on Microsoft Excel for Beginners

http://www.youtube.com/playlist?list=PL6D44A8F7E77DB825

Business Analytics Techniques

http://www.businessanalytics.com/

Book Title:A Practical Introduction to Index Numbers - e-book available in the APUS Online Library
ISBN:9781118977811
Publication Info:Wiley Lib
Author:Ralph, Jeff
Unit Cost:$45.00
Book Title:Various resources from the APUS Library & the Open Web are used. Please visit http://apus.libguides.com/er.php to locate the course eReserve.*
ISBN:ERESERVE NOTE

Previous Syllabi

Not current for future courses.