COURSE OUTLINE

INDUSTRIAL STATISTICS 3(2+1)
Course Outline

Module 1: Descriptive statistics

Lesson 1. Definition and Scope of Statistics
Lesson 2. Classification of Data and Frequency Distribution
Lesson 3. Measures of Central Tendency
Lesson 4. Measures of Dispersion
Lesson 5. Measures of Skewness and Kurtosis

Module 2: Theory of probability

Lesson 6. Elementary Notions of Probability
Lesson 7. Addition Theorem of Probability
Lesson 8. Multiplication Theorem of Probability

Module 3: Probability distributions

Lesson 9. Random Variable and its Probability Distribution
Lesson 10. Binomial Distribution
Lesson 11. Poisson Distribution
Lesson 12. Normal Distribution

Module 4: Concepts of sampling methods

Lesson 13. Sampling Theory and Sampling Distribution
Lesson 14. Simple Random Sampling
Lesson 15. Elementary Concepts of other Sampling Techniques

Module 5: Test of significance

Lesson 16. Testing of Hypothesis
Lesson 17. Z – test and its applications
Lesson 18. t – test and its applications
Lesson 19. Chi – Square test and its applications
Lesson 20. F – test and its applications

Module 6: Analysis of variance

Lesson 21. One Way Classification
Lesson 22. Two Way Classification

Module 7: Correlation and regression

Lesson 23. Linear Correlation
Lesson 24. Rank Correlation
Lesson 25. Linear Regression

Module 8: Statistical quality control

Lesson 26. Basic Concept of Statistical Quality Control
Lesson 27. Control Charts for Variables
Lesson 28. Control Charts for Attributes
Lesson 29. Fundamental Concepts of Acceptance Sampling Plan by Attributes
Lesson 30. OC and AOQ Curves