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Industrial Statistics ICAR e course PDF Download E Krishi Shiksha

IARI Toppers Team June 22, 2019
Industrial Statistics ICAR e course PDF Download E Krishi Shiksha
Industrial Statistics ICAR e course PDF Download E Krishi Shiksha
Industrial Statistics ICAR E course PDF Book was developed by ICAR e Krishi Shiksha and TNAU. You Can easily  Download it from our website IARI Toppers by clicking on the below given link.We have provided the latest version of Industrial Statistics ICAR Ecourse PDF Book but some mistakes can be found. If you found  any mistake,  error in this PDF book than feel free to comment below.

Course Content of Industrial Statistics ICAR E course Free PDF Book Download e krishi shiksha:

  1. Module 1: Descriptive Statistics
  2. Lesson 1. Definition and Scope of Statistics
  3. Lesson 2. Classification of Data and Frequency Distribution
  4. Lesson 3. Measures of Central Tendency
  5. Lesson 4. Measures of Dispersion
  6. Lesson 5. Measures of Skewness and Kurtosis
  7. Module 2: Theory of ProbabilityLesson 6. Elementary Notions of Probability
  8. Lesson 7. Addition Theorem of Probability
  9. Lesson 8. Multiplication Theorem of Probability
  10. Module 3: Probability DistributionsLesson 9. Random Variable and its Probability Distribution
  11. Lesson 10. Binomial Distribution
  12. Lesson 11. Poisson Distribution
  13. Lesson 12. Normal Distribution
  14. Module 4: Concepts of Sampling MethodsLesson 13. Sampling Theory and Sampling Distribution
  15. Lesson 14. Simple Random Sampling
  16. Lesson 15. Elementary Concepts of other Sampling Techniques
  17. Module 5: Test of SignificanceLesson 16. Testing of Hypothesis
  18. Lesson 17. Z – test and its applications
  19. Lesson 18. t – test and its applications
  20. Lesson 19. Chi – Square test and its applications
  21. Lesson 20. F – test and its applications
  22. Module 6: Analysis of VarianceLesson 21. One Way Classification
  23. Lesson 22. Two Way Classification
  24. Module 7: Correlation and RegressionLesson 23. Linear Correlation
  25. Lesson 24. Rank Correlation
  26. Lesson 25. Linear Regression
  27. Module 8: Statistical Quality ControlLesson 26. Basic Concept of Statistical Quality Control
  28. Lesson 27. Control Charts for Variables
  29. Lesson 28. Control Charts for Attributes
  30. Lesson 29. Fundamental Concepts of Acceptance Sampling Plan by Attributes
  31. Lesson 30. OC and AOQ Curves



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