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Industrial Statistics ICAR e course PDF Download E Krishi Shiksha |
Course Content of Industrial Statistics ICAR E course Free PDF Book Download e krishi shiksha:
- 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 ProbabilityLesson 6. Elementary Notions of Probability
- Lesson 7. Addition Theorem of Probability
- Lesson 8. Multiplication Theorem of Probability
- Module 3: Probability DistributionsLesson 9. Random Variable and its Probability Distribution
- Lesson 10. Binomial Distribution
- Lesson 11. Poisson Distribution
- Lesson 12. Normal Distribution
- Module 4: Concepts of Sampling MethodsLesson 13. Sampling Theory and Sampling Distribution
- Lesson 14. Simple Random Sampling
- Lesson 15. Elementary Concepts of other Sampling Techniques
- Module 5: Test of SignificanceLesson 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 VarianceLesson 21. One Way Classification
- Lesson 22. Two Way Classification
- Module 7: Correlation and RegressionLesson 23. Linear Correlation
- Lesson 24. Rank Correlation
- Lesson 25. Linear Regression
- Module 8: Statistical Quality ControlLesson 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
- 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 ProbabilityLesson 6. Elementary Notions of Probability
- Lesson 7. Addition Theorem of Probability
- Lesson 8. Multiplication Theorem of Probability
- Module 3: Probability DistributionsLesson 9. Random Variable and its Probability Distribution
- Lesson 10. Binomial Distribution
- Lesson 11. Poisson Distribution
- Lesson 12. Normal Distribution
- Module 4: Concepts of Sampling MethodsLesson 13. Sampling Theory and Sampling Distribution
- Lesson 14. Simple Random Sampling
- Lesson 15. Elementary Concepts of other Sampling Techniques
- Module 5: Test of SignificanceLesson 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 VarianceLesson 21. One Way Classification
- Lesson 22. Two Way Classification
- Module 7: Correlation and RegressionLesson 23. Linear Correlation
- Lesson 24. Rank Correlation
- Lesson 25. Linear Regression
- Module 8: Statistical Quality ControlLesson 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
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