Duration
2 days
Course Outline
Basic Statistic
- Significant Digits, Variables and it's types
- Measurement of Scales and it's Types and Basic Activities of Statistics
- Classification, Tabulation and frequency distribution
- What is Graph, Histogram, frequency curve and charts?
- What is Average and it's Types? Measures of Central tendency
- Basic Concepts of Statistics
Python for Statistical Analysis and Design and Analysis of Experiments | DoE
- File Management
- Loading Data - Practical Example
- Dataset Preparation - Practical Example
- Dealing with Outliers - Practical Example
- 1D Distribution Overview
- 1D Histograms - Practical Example
- 1D Bee Swarm - Practical Example
- 1D Box and Violin - Practical Example
- 1D Empirical CDF and Pandas Describe - Practical Example
- Higher Dimensional Distributions Overview
- ND Scatter Matrix - Practical Example
- ND Correlation - Practical Example
- 2D Histograms, Contours and KDE - Practical Example
- ND Scatter Probability - Practical Example
- Exploratory Data Analysis Summary
- Mean Median Mode - Practical Example
- Widths - Practical Example
- Skewness and Kurtosis - Practical Example
- Percentiles - Practical Example
- Multivariate Distributions - Practical Example
- Introduction to Probability Distributions
- Probability Distributions - Practical Example
- Probability Functions and Empirical Distributions
- Empirical Distributions - Practical Example
- Introduction to Sampling and the Central Limit Theorem
- Sampling Distributions - Practical Example
- Extra Writeup: More resources on sampling distributions
- Central Limit Theorem - Practical Example
- Motivation Loaded Die - Practical Example
- Basic Tests
- Basic Tests Example - Asteroid Impacts
- Introduction to Proportion Testing
- Proportion Testing Example - Election Rigging
- Pearsons Chi2 Test - Practical Example
- Comparing Distributions - Kolmogorow-Smirnow and Anderson-Darling Tests
- All the ways to do A/B testing!
Statistical Quality Control (SQC)
- Definition of quality control and objectives
- Quality control explained
- Categories of inspection
- Conformance to specification/fitness for use
- Classification of defects
- Inspection lectures explained
- Sampling risks and indices
- Producers risk and acceptance quality level
- Consumers risk and limiting quality level
- Operating characteristic curve (OCC)
- Constructing OCC curve
- Effect of lot size, sample size on OCC
- Average outgoing quality limit (AOQL)
- Types of sampling plans
- Acceptance sampling lectures explained
- Selection of random samples
- Normal, tightened and reduced inspections
- Implementation of ISO 2859 standard
- Sampling inspection by variables
- Lot acceptability variability known method
- Lot acceptability variability unknown method
- Acceptance sampling explained
- Implementation of ISO 2859 and 3951 standards
- Tables for devising attribute sampling plans
- Tables for devising variable sampling plan
Programme scope, delivery arrangements and suitability are confirmed during enquiry.