# QMB Business Analytics CRN Fall 2015 W 6:30-9:15 PM -- Lutgert Hall 2209

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7 Week Topic Description number and date 1 8/19 Chapter 1 Course overview Introduction to Analytics and Excel Decision Models Problem Solving and Decision Making Spreadsheet Add-ins for Business Analytics Software requirement: Solver Platform 2 8/26 Chapter 4 Review Online material: instructional videos in Descriptive Measures: D-1, D-2, D-3, and D-4 In-class applications: Descriptive Statistical Measures (Chap. 4): Populations and Samples Measures of Location, Dispersion and Shape Measures of Association Excel functions Chapter 5 Review online instructional videos in probability distribution: Dist-1 In-class review: probability distribution and applications (Chap. 5) Random variable and probability distribution Continuous and discrete distributions Random Sampling Due: Assignment 1 8/25: Course expectations (upload to Canvas drop box) Assignment 2 handout Last day to drop 8/25 (100% refund) 3 9/2 Chapter 6 Review online material: Sampling and estimation: confidence-r1 In class applications: Sampling and estimation (Chap 6) Estimating population parameters Sampling error (margin of error) Confidence interval for decision making 4 9/9 Chapter 7 Review online material: Hypothesis Testing HT-1s, HT-2s Optional: Download (in Canvas Files) PowerPoint slides (PP-1s, PP2s) In class applications: Statistical inference (Chap 7) Hypothesis Testing One-Sample Hypothesis Tests Two-Sample Hypothesis Tests ANOVA 7

8 5 9/16 Chapter 7 In class applications: Statistical inference Hypothesis Testing One-Sample Hypothesis Tests Two-Sample Hypothesis Tests ANOVA 6 9/23 Exam week EXAMS 1&2 (theory & practice) Due: Assignment 2 7 9/30 Chapter 8 Regression Analysis Simple Linear Regression Evaluating Good Regression Models Assignment 3 handout 8 10/7 Chapter 8 Regression Analysis Simple and Multiple Linear Regression Building Good Regression Models Regression with Categorical Independent Variables 9 10/14 Chapter 8 Regression Analysis (Chap 8) Simple and Multiple Linear Regression Building Good Regression Models Regression with Categorical Independent Variables Chapter 9 Forecasting (Chap 9) Forecasting Techniques Qualitative and Judgmental Forecasting Forecasting Models for Time Series with a Linear Trend Forecasting Time Series with Seasonality Measures of Forecasting Accuracy 10 10/21 Chapter 9 Forecasting (Chap 9) Forecasting Techniques Qualitative and Judgmental Forecasting Forecasting Models for Time Series with a Linear Trend Forecasting Time Series with Seasonality Measures of Forecasting Accuracy 11 10/28 Exam week Exam 3&4: (theory and practice) Due: Assignment 3 8

10 Additional assistance: The Center for Academic Achievement (CAA) offers academic support services for any FGCU student. The services are at no extra charge to students and include: peer tutoring, Supplemental Instruction, Student Success Workshops, and individualized academic coaching. If you would like to participate in or learn more about these services, please visit the CAA in Library 103. You may also the CAA at or call at (239) The CAA website is * This is a planned course structure and may change if necessary to meet learning goals 10

### QMB 3302 - Business Analytics CRN 80700 - Fall 2015 T & R 9.30 to 10.45 AM -- Lutgert Hall 2209

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