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Course Code: ANLY461 Course ID: 4872 Credit Hours: 3 Level: Undergraduate
This course further integrates applied business analytics. It continues the examination of the role of statistics and analytics techniques in the interpretation and findings of nonparametric test of hypothesis, analysis of variance ANOVA, correlation, and regression analysis. After completing this course, students are expected to understand diagnosing factors affecting a problem, variables involved, relationships among business variables, and how to generate a prediction model. (Prerequisite: ANLY460)
|Registration Dates||Course Dates||Session||Weeks|
|03/30/20 - 09/04/20||09/07/20 - 11/01/20||Summer 2020 Session D||8 Week session|
|06/29/20 - 12/04/20||12/07/20 - 01/31/21||Fall 2020 Session D||8 Week session|
After successfully completing this course, you will be able to
CO – 1: Review analytics techniques for researching data
CO – 2: Diagram problems and apply visual analytics on data
CO – 3: Create a regression analysis
CO – 4: Use business variables to create solutions
CO – 5: Interpret findings of nonparametric test of hypothesis
CO – 6: Explore predictive analytics
CO – 7: Construct a plan to use Data in Decision Making
Reading Assignments: Reading assignments are not graded.
Supplemental Readings: Required but not graded.
Forum Posts: Discussion Board posts will be graded on timely posts of initial discussion assignment, substantive content, grammar, analysis, and responses to other students. Students are required to post at least two substantive responses with added insight and analysis. Check participation policy posted in W1 forum.
Homework Assignments: Students will be given two-part homework assignments that will be submitted in a Word document with APA format written summaries and an Excel spreadsheet with work details & solutions shown. The grading criteria for the word document will be a minimum requested page number, APA format, grammar, mechanics, and analysis. The criteria for the Excel spreadsheet is to create a spreadsheet with tables, charts, or lists to show your work and calculations if applicable.
Exams/Quizzes: There will be Quizzes and a Final Exam in the last week of class.
Field Experience Assignments: None.
Final Project: None
|Discussion - 1||4.38 %|
|Discussion - 2||4.38 %|
|Discussion - 3||4.38 %|
|Discussion - 4||4.38 %|
|Discussion - 5||4.38 %|
|Discussion - 6||4.38 %|
|Discussion - 7||4.38 %|
|Discussion - 8||4.38 %|
|Writing Assignments||45.00 %|
|Week 1 - Assignment||6.43 %|
|Week 2 - Assignment||6.43 %|
|Week 3 - Assignment||6.43 %|
|Week 4- Assignment||6.43 %|
|Week 5 - Assignment||6.43 %|
|Week 6 - Assignment||6.43 %|
|Week 7 - Assignment||6.43 %|
|Final Exam||20.00 %|
|Final Exam||20.00 %|
Required Course Textbook
Statistical Techniques in Business and Economics, 16/e
Douglas A. Lind, Coastal Carolina University
William G. Marchal, University of Toledo
Samuel A. Wathen, Coastal Carolina University
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.
American Psychological Association (APA) Style Website
Purdue Online Writing Lab
Business Analytics Techniques
|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.*|
Not current for future courses.