| Course Content |
Day 1
• Graphical Methods
• Statistical terms and concepts
• Central Limit Theorem
• Histograms, Boxplots, Dotplots, Scatterplots, Time Series Plots,Matrix Plots, Pareto etc
• Process Variation and Measures of Central Tendency
• Descriptive Statistics
• Probability Distributions – normal, t, F, Chi-square, binomial, Poisson
• Control Chart Basics
Day 2
1. Confidence Intervals for means and proportions
2. Tests of hypotheses
• Comparison of means (t-Tests)
• Proportion Tests
• Tests for Equal Variances
• Non-parametrics tests (Kruskal-Wallis)
1. Power and Sample Size
2. Regression Analysis
3. Correlation Analysis
4. Analysis of Variance (ANOVA) |
