MBC-638: Data Analysis & Decision Making 2018-0629
Welcome and Introduction
Welcome and Course Overview
Professor Biography
Syllabus
Live Sessions
Live Session 1
Live Session 2
Live Session 3
Live Session 4
Live Session 5
Live Session 6
Live Session 7
Live Session 8
Live Session 9
Live Session 10
Live Session 11
Assignments and Deliverables
Week 1: Problem Definition WorksheetAssignment Completed
Week 2: Quiz 1 Completed; select to mark as not complete
Week 3: Homework 1
Week 4: Homework 2
Week 5: Homework 3
Week 6: Quiz 2 Completed; select to mark as not complete
Week 7: Homework 4
Week 8: Homework 5Assignment Completed
Week 8: Homework 5: Solution
Week 9: Homework 6Assignment Completed
Week 9: Homework 6: Solution
Week 10: Process Improvement ProjectAssignment Completed
Week 10: Final ExamQuiz Not completed; select to mark as complete
Participation
Week 1 | Fundamentals
1.1 Week 1 Introduction
1.2 Week 1 Readings
1.3 Fundamentals of Statistics and DMAIC
1.4 Types of Data: Pros and Cons
1.5 Exercise: What Type of Data?
1.6 Sigma Quality Level (SQL)
1.7 Operational Definitions
1.9 The Kappa Technique
1.10 Peanut Exercise
Week 2 | Business Process
2.1 Week 2 Introduction
2.2 Week 2 Readings
2.3 Hank the Handyman
2.4 Analyzing the Current Process
2.5 Hank the Handyman: Mapping the Process
2.6 Hank the Handyman: Describing the Data
2.7 Hank the Handyman: Improving the Process
Week 3 | Probability Distributions and Hypothesis Testing
3.1 Week 3 Introduction
3.2 Week 3 Readings
3.3 Common Distributions and CLT with Dice
3.4 Normal Distribution Examples
3.5 Binomial Distribution Examples
3.6 Using Excel to Calculate Probabilities
3.7 Writing Hypothesis Statements
3.8 H0 and Ha Scenarios
3.9 Types of Hypothesis Tests
3.10 More Hypothesis Testing and the Risk of Being Wrong
3.11 Alpha vs. Beta
3.12 Project Hypothesis Statements
Week 4 | Categorical Data Analysis
4.1 Week 4 Introduction
4.2 Week 4 Readings
4.3 Chi-Square Test of Independence: What Is It?
4.4 Chi-Square Example
4.5 Chi-Square Test for Independence in Excel
4.6 Test Your Knowledge: Gender Differences at the Coffee Shop
4.7 Relate Chi-Square to Your Project
Week 5 | Confidence Intervals and Sample Size
5.1 Week 5 Introduction
5.2 Week 5 Readings
5.3 Confidence Intervals for Continuous Data
5.4 Confidence Interval Example
5.5 Sample Size for Continuous
5.6 Confidence Interval and Sample Size for Discrete Data
5.7 Test Your Knowledge
5.8 Relate Sample Size to Your Project
Week 6 | Simple Linear Regression and Correlation
6.1 Week 6 Introduction
6.2 Week 6 Readings
6.3 Correlation Video
6.4 Regression Introduction
6.5 Example by Hand
6.6 SLR Examples and Using Excel
6.7 Correlation
6.8 Correlation Using Excel
6.9 Residuals and Other Warnings
6.10 Residuals and Other Warnings Using Excel
Week 7 | Multiple Linear Regression
7.1 Week 7 Introduction
7.2 Week 7 Readings
7.3 Multiple Regression
7.4 Multiple Regression Using Excel
7.5 Correlation, F Test, and Model Building
7.6 Just Correlation
7.9 Relate Regression to Your Project
Week 8 | Process Control Charts
8.1 Week 8 Introduction
8.2 Week 8 Readings
8.3 Control Chart Introduction and Types Available
8.4 Control Chart Calculations
8.6 How to Build ImR in Excel
8.8 Test Your Knowledge: Measurement System
8.9 Relate Control Charts to Your Project
Week 9 | Time Series Analysis
9.1 Week 9 Introduction
9.2 Introduction to Time Series
9.3 Autocorrelation
9.4 Is Autocorrelation Present?
9.5 Three Time Series Models
9.6 Forecast the Next Month: First Order Autoregressive
9.7 Forecast the Next Month: Moving Average Model
9.8 Forecast the Next Month: Exponential Smoothing
9.9 Test Your Knowledge: Time Series Models
9.10 Relate Time Series to Your Project
Week 10 | Review and Process Improvement Project Work
10.1 Week 10 Introduction
10.2 Summary of DMAIC
10.3 Questions You Should Be Able to AnswerPage
