Statistical Thinking for Industrial Problem Solving, presented by JMP

1 Videos

• Introduction

1 Assignment

• Question 1.01

1 Videos

• What Is Statistical Thinking?

2 Assignment

• Question 1.03
• Question 1.04

3 Videos

• Overview of Problem Solving
• Statistical Problem Solving
• Types of Problems

3 Assignment

• Question 1.06
• Question 1.07
• Question 1.08

3 Videos

• Defining the Problem
• Goals and Key Performance Indicators
• The White Polymer Case Study

3 Assignment

• Question 1.09
• Question 1.10
• Question 1.12

5 Videos

• What Is a Process?
• Developing a SIPOC Map
• Developing an Input/Output Process Map
• Top-Down and Deployment Flowcharts
• Summary

4 Assignment

• Question 1.13
• Question 1.15
• Question 1.16
• Questions 1.18 - 1.19

8 Videos

• Tools for Identifying Potential Causes
• Brainstorming
• Multi-voting
• Using Affinity Diagrams
• Cause-and-Effect Diagrams
• The 5 Whys
• Cause-and-Effect Matrices
• Summary

1 Readings

• Activity: Developing a Cause-and-Effect Diagram

3 Assignment

• Question 1.20
• Question 1.21
• Questions 1.23-1.25

5 Videos

• Data Collection for Problem Solving
• Types of Data
• Operational Definitions
• Data Collection Strategies
• Importing Data for Analysis

1 External Tool

• Statistical Thinking and Problem Solving Quiz

2 Readings

• Read About It
• Summary: Statistical Thinking and Problem Solving

1 External Tool

• Access the JMP Virtual Lab

1 Videos

• Introduction

13 Assignment

• Question 2.01
• Question 2.02
• Practice: Understanding Yield for a Chemical Manufacturing Process
• Practice: Exploring the Relationship Between Variables
• Question 2.03 - 2.04
• Practice: Summarizing Continuous Data with the Distribution Platform
• Question 2.06 - 2.07
• Practice: Understanding Box Plots
• Question 2.08
• Question 2.09
• Practice: Visualizing Continuous Data
• Question 2.10 - 2.11
• Practice: Visualizing Categorical Data

21 Videos

• Introduction to Descriptive Statistics
• Types of Data
• Histograms
• Demo: Creating Histograms in JMP
• Demo: Saving Your Work Using Scripts
• The Chemical Manufacturing Case Study
• The White Polymer Case Study
• Measures of Central Tendency and Location
• Demo: Summarizing Continuous Data with the Distribution Platform
• Demo: Summarizing Continuous Data with Column Viewer and Tabulate
• Measures of Spread: Range and Interquartile Range
• Demo: Hiding and Excluding Data
• Measures of Spread: Variance and Standard Deviation
• Visualizing Continuous Data
• Demo: Creating Tabular Summaries with Tabulate
• Demo: Creating Scatterplots and Scatterplot Matrices
• Demo: Creating Comparative Box Plots with Graph Builder
• Demo: Creating Run Charts (Line Graphs) with Graph Builder
• Describing Categorical Data
• Creating Tabular Summaries for Categorical Data
• Demo: Creating Bar Charts and Mosaic Plots

5 Assignment

• Question 2.13
• Question 2.15
• Practice: Checking for Normality
• Practice: Recognizing Shapes in Normal Quantile Plots
• Practice: Exploring the Central Limit Theorem

8 Videos

• Review and Introduction to Probability Concepts
• Samples and Populations
• Understanding the Normal Distribution
• Checking for Normality
• Demo: Checking for Normality
• Demo: Finding the Area Under a Curve
• The Central Limit Theorem
• Demo: Exploring the Central Limit Theorem

13 Assignment

• Question 2.16
• Practice: Exploring Many Variables Using the Column Switcher
• Question 2.17 - 2.18
• Practice: Creating Sorted Bar Charts in JMP
• Question 2.19
• Practice: Exploring Data with a Local Data Filter
• Question 2.20
• Practice: Exploring Data with a Tree Map and Mosaic Plot
• Practice: Exploring Data Using Trellis Plots
• Question 2.21
• Practice: Exploring Data Using Bubble Plots and Heat Maps
• Question 2.22
• Practice: Exploring Data with a Geographic Map

20 Videos

• Introduction to Exploratory Data Analysis
• Exploring Continuous Data: Enhanced Tools
• Demo: Adding Markers, Colors, and Row Legends
• Demo: Switching Columns in an Analysis
• Pareto Plots
• Demo: Creating Sorted Bar Charts and Pareto Plots
• Packed Bar Charts and Data Filtering
• Demo: Creating Packed Bar Charts
• Demo: Using the Local Data Filter
• Tree Maps and Mosaic Plots
• Demo: Creating a Tree Map
• Using Trellis Plots and Overlay Variables
• Demo: Creating Trellis Plots and Using Overlay Variables
• Bubble Plots and Heat Maps
• Demo: Creating Bubble Plots
• Demo: Creating Heat Maps
• Visualizing Geographic and Spatial Data
• Demo: Creating a Geographic Map Using Shape Files
• Demo: Creating Maps Using Coordinates
• Summary of Exploratory Data Analysis Tools

1 External Tool

• Access the JMP Virtual Lab

6 Assignment

• Question 2.24
• Question 2.25
• Question 2.26
• Question 2.28 - 2.29
• Practice: Customizing Graphics
• Practice: Creating a Slope Graph

12 Videos

• Introduction to Communicating with Data
• Creating Effective Visualizations
• Evaluating the Effectiveness of a Visualization
• Designing an Effective Visualization: Part 1
• Designing an Effective Visualization: Part 2
• Communicating Visually with Animation
• Designing for Your Audience
• Understanding Your Target Audience
• Designing Visualizations for Communication
• Designing Visualizations: The Do's
• Designing Visualizations: The Don'ts
• Demo: Customizing Graphics

6 Assignment

• Question 2.31 - 2.32
• Question 2.33
• Practice: Exploring Reports Published on JMP Public
• Practice: Grouping and Combining Analysis Scripts
• Practice: Creating a Simple Dashboard
• Practice: Using a JMP Journal to Document Your Work

8 Videos

• Introduction to Saving and Sharing Results
• Saving and Sharing Results in JMP
• Saving and Sharing Results outside of JMP
• Deciding Which Format to Use
• Demo: Organizing Your Saved Scripts
• Demo: Combining JMP Scripts for Analyses
• Demo: Sharing Static Output
• Demo: Saving Your Work in a JMP Journal

19 Assignment

• Question 2.34
• Question 2.35
• Practice: Creating the Formula for Scrap Rate
• Practice: Checking the Data Table for Issues
• Question 2.36
• Practice: Checking Data Quality with Summary Statistics and Graphs
• Question 2.37 - 2.38
• Question 2.39
• Practice: Exploring Missing Data
• Practice: Recoding Missing Values
• Practice: Using Recode to Bin Data
• Question 2.40
• Practice: Stacking Data
• Question 2.41
• Practice: Concatenating Data Tables
• Practice: Joining Data Tables
• Practice: Creating a Binning Formula
• Practice: Extracting Information from a Column
• Practice: Working with Dates

16 Videos

• Data Tables Essentials
• Common Data Quality Issues
• Identifying Issues in the Data Table
• Identifying Issues One Variable at a Time
• Summarizing What You Have Learned
• Demo: Exploring Missing Values
• Demo: Using Recode
• Restructuring Data for Analysis
• Demo: Stacking and Splitting Data
• Combining Data
• Demo: Concatenating Data Tables
• Demo: Joining Data Tables
• Deriving New Variables
• Demo: Binning Data Using Conditional IF-THEN Statements
• Demo: Transforming Data
• Working with Dates

1 External Tool

• Exploratory Data Analysis Quiz

2 Readings

• Read About It
• Summary - Exploratory Data Analysis

1 External Tool

• Access the JMP Virtual Lab

2 Videos

• Introduction
• Quality Methods Overview

10 Assignment

• Question 3.02
• Practice: Creating an I and MR Chart
• Question 3.03
• Question 3.04
• Practice: Creating I and MR Charts for the White Polymer Case Study
• Practice: Constructing an X-Bar and S Chart
• Question 3.05
• Question 3.06
• Practice: Evaluating whether Improvements Have Been Sustained
• Practice: Using Control Charts as an Exploratory Tool

13 Videos

• Introduction to Control Charts
• Individual and Moving Range Charts
• Demo: Creating an I and MR Chart Using the Control Chart Builder
• Common Cause versus Special Cause Variation
• Testing for Special Causes
• Demo: Testing for Special Causes in the Control Chart Builder
• X-bar and R and X-bar and S Charts
• Demo: Creating X-bar and R and X-bar and S Charts
• Rational Subgrouping
• 3-Way Control Charts
• Demo: Creating 3-Way Control Charts
• Control Charts with Phases
• Demo: Adding Phases to Control Charts

8 Assignment

• Question 3.07
• Question 3.08
• Activity: Calculating Capability Indices
• Question 3.09
• Question 3.10 - 3.11
• Practice: Calculating Capability Indices
• Practice: Conducting a Capability Analysis with a Phase Variable
• Practice: Conducting a Capability Analysis with Nonnormal Data

13 Videos

• The Voice of the Customer
• Process Capability Indices
• Short- and Long-Term Estimates of Capability
• Understanding Capability for Process Improvement
• Estimating Process Capability: An Example
• Demo: Calculating Capability Indices Using the Distribution Platform
• Demo: Conducting a Capability Analysis Using the Control Chart Builder
• Calculating Capability for Nonnormal Data
• Demo: Estimating Capability for Nonnormal Data
• Estimating Process Capability for Many Variables
• Identifying Poorly Performing Processes
• Demo: Identifying Poorly Performing Processes
• A View from Industry

8 Assignment

• Question 3.12
• Question 3.13
• Practice: Designing a Gauge Study
• Practice: Visualizing the Area Measurement MSA Data
• Practice: Visualizing the MFI MSA Data
• Practice: Analyze the Area Measurement MSA Data
• Practice: Analyzing the Melt Flow Index MSA
• Question 3.15

13 Videos

• What is a Measurement Systems Analysis
• Language and Terminology
• Designing a Measurement System Study
• Designing and Conducting an MSA
• Demo: Creating a Gauge Study Worksheet
• Analyzing an MSA with Visualizations
• Demo: Visualizing Measurement System Variation
• Analyzing the MSA
• Demo: Analyzing an MSA, EMP Method
• Demo: Conducting a Gauge R&R Analysis
• Studying Measurement System Accuracy
• Demo: Analyzing Measurement System Bias
• Improving the Measurement Process

1 Readings

• Activity: Area MSA

1 External Tool

• Quality Methods Quiz

2 Readings

• Read About It
• Summary: Quality Methods

1 External Tool

• Access the JMP Virtual Lab

1 Videos

• Introduction to Decision Making with Data

12 Assignment

• Question 4.01
• Question 4.02
• Question 4.03
• Questions 4.04 - 4.06
• Practice: Constructing a Confidence Interval
• Practice: Comparing Intervals at Different Confidence Levels
• Practice: Constructing a Confidence Interval for the Speed of Light
• Question 4.07
• Question 4.08
• Practice: Constructing Prediction and Tolerance Intervals
• Question 4.09
• Practice: Comparing Interval Estimates

12 Videos

• Introduction to Statistical Inference
• What Is a Confidence Interval?
• A Practical Example
• Estimating a Mean
• Visualizing Sampling Variation
• Constructing Confidence Intervals
• Demo: Understanding the Confidence Level and Alpha Risk
• Demo: Calculating Confidence Intervals
• Prediction Intervals
• Tolerance Intervals
• Demo: Calculating Prediction and Tolerance Intervals
• Comparing Interval Estimates

4 Assignment

• Question 4.11
• Questions 4.12 - 4.14
• Question 4.15
• Questions 4.16 - 4.18

6 Videos

• Introduction to Statistical Testing
• Statistical Decision Making
• Understanding the Null and Alternative Hypothesis
• Sampling Distribution under the Null
• The p-Value and Statistical Significance
• Summary of Foundations in Statistical Testing

13 Assignment

• Question 4.20
• Practice: Conducting a One-Sample t Test
• Practice: Conducting a One-Sample t Test with a BY Variable
• Practice: Conducting an Equivalence Test
• Question 4.21
• Practice: Conducting a Two-Sample t Test
• Practice: Conducting an Equivalence Test for Two Means
• Practice: Conducting an Unequal Variances Test
• Question 4.22
• Practice: Conducting a Paired t Test
• Question 4.23
• Practice: Conducting a One-Way ANOVA Analysis
• Practice: Comparing Several Means

16 Videos

• Conducting a One-Sample t Test
• Demo: Conducting a One-Sample t Test
• Demo: Understanding p-Values and t Ratios
• Equivalence Testing
• Comparing Two Means
• Two-Sample t Tests
• Unequal Variances Tests
• Demo: Conducting a Two-Sample t Test
• Paired Observations
• Demo: Performing a Paired t Test
• Comparing More Than Two Means
• One-Way ANOVA (Analysis of Variance)
• Multiple Comparisons
• Demo: Comparing More Than Two Means
• Revisiting Statistical Versus Practical Significance
• Summary of Hypothesis Testing for Continuous Data

9 Assignment

• Question 4.25
• Question 4.26
• Practice: Calculating Sample Size for a CI for a Mean
• Practice: Calculating Sample Size for a CI for a Proportion
• Question 4.27 - 4.28
• Question 4.30
• Question 4.31
• Practice: Calculating Sample Size for a One-Sample t Test
• Practice: Calculating Sample Size for a Two-Sample t Test

12 Videos

• Introduction to Sample Size and Power
• Sample Size for a Confidence Interval for the Mean
• Demo: Calculating the Sample Size for a Confidence Interval
• Outcomes of Statistical Tests
• Statistical Power
• Exploring Sample Size and Power
• Demo: Exploring the Power Animation
• Calculating the Sample Size for One-Sample t Tests
• Demo: Calculating the Sample Size for a One-Sample t Test
• Calculating the Sample Size for Two-Sample t Tests
• Demo: Calculating the Sample Size for Two or More Sample Means
• Summary of Sample Size and Power

1 External Tool

• Decision Making with Data Quiz

2 Readings

• Read About It
• Summary: Decision Making with Data

1 External Tool

• Access the JMP Virtual Lab

1 Videos

• Introduction

4 Assignment

• Question 5.01
• Question 5.02-5.03
• Practice: Exploring Correlations (Example)
• Practice: Exploring Correlations (Case Study)

4 Videos

• What Is Correlation?
• Interpreting Correlation
• Demo: Exploring the Impact of Outliers on Correlation
• Demo: Assessing Correlations

7 Assignment

• Question 5.05
• Practice: Fitting a Simple Linear Regression Model
• Question 5.06
• Practice: Exploring Least Squares
• Practice: Visualizing Regression with Anscombe's Quartet
• Practice: Interpreting Regression Analysis Results
• Practice: Fitting Polynomial Models

12 Videos

• Introduction to Regression Analysis
• Demo: Fitting a Regression Model
• The Simple Linear Regression Model
• The Method of Least Squares
• Demo: The Method of Least Squares
• Visualizing the Method of Least Squares
• Regression Model Assumptions
• Demo: Evaluating Model Assumptions
• Interpreting Regression Results
• Demo: Interpreting Regression Analysis Results
• Fitting a Model with Curvature
• Demo: Fitting Polynomial Models

14 Assignment

• Question 5.08
• Practice: Comparing Simple Linear and Multiple Linear Regression Models
• Question 5.09
• Practice: Exploring Significant Predictors
• Question 5.10
• Practice: Identifying Outliers and Influential Observations
• Question 5.11
• Practice: Fitting a Model with Categorical Predictors
• Question 5.12
• Practice: Fitting a Model with Interactions
• Practice: Selecting Variables Using Effect Summary
• Question 5.14
• Question 5.15
• Practice: Regression Modeling Mini Case Study

16 Videos

• What is Multiple Linear Regression?
• Fitting the Multiple Linear Regression Model
• Demo: Fitting Multiple Linear Regression Models
• Interpreting Results in Explanatory Modeling
• Demo: Using the Prediction Profiler
• Residual Analysis and Outliers
• Demo: Analyzing Residuals and Outliers
• Multiple Linear Regression with Categorical Predictors
• Demo: Fitting a Model with Categorical Predictors
• Multiple Linear Regression with Interactions
• Demo: Fitting a Model with Interactions
• Variable Selection
• Demo: Selecting Variables Using Effect Summary
• Multicollinearity
• Demo: Assessing Multicollinearity
• Closing Thoughts on Multiple Linear Regression

5 Assignment

• Question 5.16
• Question 5.17
• Practice: Fitting a Simple Logistic Model for Reaction Time
• Practice: Fitting a Multiple Logistic Regression Model
• Practice: Fitting a Logistic Regression Model with Interactions

10 Videos

• What Is Logistic Regression?
• The Simple Logistic Model
• Simple Logistic Regression Example
• Interpreting Logistic Regression Results
• Demo: Fitting a Simple Logistic Regression Model
• Multiple Logistic Regression
• Demo: Fitting a Multiple Logistic Regression Model
• Logistic Regression with Interactions
• Demo: Fitting a Logistic Regression Model with Interactions
• Common Issues

1 External Tool

• Correlation and Regression Quiz

2 Readings

• Read About It
• Summary: Correlation and Regression

1 External Tool

• Access the JMP Virtual Lab

2 Videos

• Introduction
• A View from Industry

6 Assignment

• Question 6.01 - 6.02
• Question 6.03
• Question 6.04
• Question 6.05
• Question 6.06 - 6.07
• Question 6.08

5 Videos

• What is DOE?
• Conducting Ad Hoc and One-Factor-at-a-Time (OFAT) Experiments
• Why Use DOE?
• Terminology of DOE
• Types of Experimental Designs

6 Assignment

• Question 6.09 - 6.12
• Practice: Designing a Full Factorial Experiment
• Question 6.13 - 6.14
• Question 6.15
• Question 6.16
• Practice: Analyzing a Replicated Full Factorial Experiment

6 Videos

• Designing Factorial Experiments
• Demo: Designing Full Factorial Experiments
• Analyzing a Replicated Full Factorial
• Analyzing an Unreplicated Full Factorial
• Demo: Analyzing Full Factorial Experiments
• Summary of Factorial Experiments

4 Assignment

• Question 6.17
• Question 6.18 - 6.19
• Practice: Designing a Fractional Factorial Experiment
• Practice: Analyzing a 20-Run Custom Design

5 Videos

• Screening for Important Effects
• A Look at Fractional Factorial Designs
• Demo: Creating 2^k-r Fractional Factorial Designs
• Custom Screening Designs
• Demo: Creating Screening Designs in the Custom Designer

4 Assignment

• Question 6.21- 6.22
• Question 6.23 - 6.24
• Practice: Analyzing a Custom Central Composite Design
• Practice: Optimizing the Heck Reaction

7 Videos

• Introduction to Response Surface Designs
• Response Surface Designs for Two Factors
• Analyzing Response Surface Experiments
• Demo: Designing a Central Composite Design
• Creating Custom Response Surface Designs
• Sequential Experimentation
• Response Surface Summary

5 Assignment

• Question 6.26
• Question 6.27 - 6.28
• Question 6.29
• Question 6.30
• Practice: Optimizing Multiple Responses

11 Videos

• Introduction to DOE Guidelines
• Defining the Problem and the Objectives
• Identifying the Responses
• Identifying the Factors and Factor Levels
• Identifying Restrictions and Constraints
• Preparing to Conduct the Experiment
• The Anodize Case Study: Part 1
• The Anodize Case Study: Part 2
• Summary
• Demo: Optimizing Multiple Responses
• Demo: Simulating Data Using the Prediction Profiler

1 External Tool

• Design of Experiments Quiz

2 Readings

• Read About It
• Summary: Design of Experiments (DOE)

1 External Tool

• Access the JMP Virtual Lab

1 Videos

• Introduction

5 Assignment

• Question 7.01
• Question 7.02
• Question 7.03
• Practice: Fitting a Multiple Linear Regression Model with Validation
• Practice: Fitting a Logistic Model with Validation

9 Videos

• Introduction to Predictive Modeling
• Overfitting and Model Validation
• Demo: Creating a Validation Column
• Assessing Model Performance: Prediction Models
• Demo: Fitting a Multiple Linear Regression Model with Validation
• Assessing Model Performance: Classification Models
• Receiver-Operating Characteristic (ROC) Curves
• Demo: Fitting a Logistic Model with Validation
• Demo: Changing the Cutoff for Classification

9 Assignment

• Question 7.04
• Practice: Using a Classification Tree for Problem Solving
• Practice: Identifying Important Variables
• Question 7.05
• Question 7.06
• Practice: Using a Regression Tree with Validation
• Practice: Using a Classification Tree with Validation
• Question 7.07
• Practice: Using Trees to Identify Important Variables

9 Videos

• Introduction to Decision Trees
• Classification Trees
• Demo: Creating a Classification Tree
• Regression Trees
• Demo: Fitting a Regression Tree
• Decision Trees with Validation
• Demo: Fitting a Decision Tree with Validation
• Random (Bootstrap) Forests
• Demo: Variable Selection with a Bootstrap Forest

5 Assignment

• Question 7.08
• Practice: Fitting a Simple Neural Network
• Practice: Fitting a Neural Network for Prediction
• Practice: Fitting a Neural Network for Classification
• Question 7.09

5 Videos

• What is a Neural Network?
• Interpreting Neural Networks
• Demo: Fitting a Neural Network
• Predictive Modeling with Neural Networks
• Demo: Fitting a Neural Model with Two Layers

4 Assignment

• Question 7.10
• Question 7.11 - 7.12
• Practice: Reducing a Model Using Generalized Regression
• Practice: Fitting a Regression Model using the Lasso

6 Videos

• Introduction to Generalized Regression
• Fitting Models Using Maximum Likelihood
• Demo: Fitting a Linear Model in Generalized Regression
• Demo: Variable Selection in Generalized Regression
• Introduction to Penalized Regression
• Demo: Fitting a Penalized Regression (Lasso) Model

2 Assignment

• Question 7.13
• Practice: Comparing and Selecting Predictive Models

2 Videos

• Comparing Predictive Models
• Demo: Comparing and Selecting Predictive Models

5 Assignment

• Question 7.14
• Question 7.15
• Question 7.16
• Practice: Developing a Term List
• Practice: Exploring Terms and Phrases in STIPS

7 Videos

• Introduction to Text Mining
• Processing Text Data
• Curating the Term List
• Demo: Processing Unstructured Text Data
• Visualizing and Exploring Text Data
• Demo: Visualizing and Exploring Text Data
• Analyzing (Mining) Text Data

1 External Tool

• Predictive Modeling and Text Mining Quiz

2 Readings

• Read About It
• Summary: Predictive Modeling and Text Mining

2 Assignment

• Review Questions
• Case Studies

1 External Tool

• Access the JMP Virtual Lab