MINITAB

“Minitab turns data into confident decisions.”

Learn Minitab to perform statistical analysis, quality control, and process improvement with ease. Gain hands-on experience in data analysis, hypothesis testing, control charts, and Six Sigma tools to support academic work and industry applications.

🎯 Course Outline (Step-by-Step)

🔵 Lesson 1: Descriptive Statistics & Graphical Analysis

🟢 Types of Data

🟢 Using Graphs to Analyze Data

🟢 Using Statistics to Analyze Data

🟣 Lesson 2: Statistical Inference

🟡 Fundamentals of Statistical Inference

🟡 Sampling Distributions

🟡 Normal Distribution

🟠 Lesson 3: Hypothesis Tests & Confidence Intervals

🔵 Tests and Confidence Intervals

🔵 One-Sample t-Test

🔵 Two Variances Test

🔵 Two-Sample t-Test

🔵 Paired t-Test

🔵 One-Proportion Test

🔵 Two-Proportions Test

🔵 Chi-Square Test

🔴 Lesson 4: Control Charts

🟣 Statistical Process Control

🟣 Control Charts for Variables Data (Subgroups)

🟣 Control Charts for Individual Observations

🟣 Control Charts for Attributes Data

🟢 Lesson 5: Process Capability

🔵 Process Capability for Normal Data

🔵 Capability Indices

🔵 Process Capability for Non-Normal Data

🔵 Lesson 6: Analysis of Variance (ANOVA)

🟠 Fundamentals of ANOVA

🟠 One-Way ANOVA

🟠 Two-Way ANOVA

🟣 Lesson 7: Correlation & Regression

🟡 Relationship Between Two Quantitative Variables

🟡 Simple Regression

🟠 Lesson 8: Measurement Systems Analysis (MSA)

🟡 Fundamentals of Measurement Systems Analysis

🟡 Repeatability and Reproducibility

🟡 Graphical Analysis of a Gage R&R Study

🟡 Variation

🟡 ANOVA with a Gage R&R Study

🟡 Gage Linearity and Bias Study

🟡 Attribute Agreement Analysis

🔴 Lesson 9: Design of Experiments (DOE)

🟢 Factorial Designs

🟢 Blocking and Incorporating Center Points

🟢 Fractional Factorial Designs

🟢 Response Optimization