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Udemy - Statistical Quality Control Methodology

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Udemy - Statistical Quality Control Methodology (Size: 1.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Introductory section.mp4 12.7 MB
  10 - Control Charts for Mean
  10. Statistical Quality Control Charts of Mean chart.mp4 37.9 MB
  11 - Calculation of Mean and Range Charts
  11. Explanation of both charts will explained.mp4 19.5 MB
  12 - Computation of Control limits
  12. Both upper and lower control limits will be explained.mp4 33.5 MB
  13 - Control Chart for the Range chart (R chart)
  13. Range chart or R chart.mp4 12 MB
  14 - Interpretation of Mean and Range Charts
  14. Interpretation of both Mean and Range Charts.mp4 83.2 MB
  15 - EXAMPLE ONE
  15. Interpretation of chart.mp4 38.4 MB
  16 - EXAMPLE TWO
  16. Control chart interpretation.mp4 28.6 MB
  17 - Example Three
  17. Control Chart for variation.mp4 48.6 MB
  18 - Example Four
  18. More lecture on the Control chart.mp4 34.4 MB
  19 - Controls Charts for Standard Deviation
  19. Controls Charts for Standard Deviation.mp4 75.6 MB
  2 - Introduction to Statistical Quality Control
  2. Importance of statistical quality control.mp4 39.6 MB
  20 - Example 5 Control Chart
  20. Control Chart.mp4 33.5 MB
  21 - Control Chart for Attributes
  21. Control Chart for Attributes.mp4 59.5 MB
  22 - Control Chart for fraction defective or P chart
  22. Fraction defective or P chart.mp4 40.5 MB
  23 - Fraction defective chart example
  23. Example six on P chart.mp4 25.5 MB
  24 - Example seven on the P chart
  24. Fraction defective example seven.mp4 53 MB
  25 - Control Chart for Number of Defective or np chart
  25. Control chart for Number of Defective or NP chart.mp4 13.1 MB
  26 - Np Chart versus P chart
  26. Np chart versus P chart.mp4 13.1 MB
  27 - Example Eight
  27. More example of control chart for attributes.mp4 25 MB
  28 - Control chart for number of defective per unit or C chart
  28. C chart.mp4 29.8 MB
  29 - Example of C chart
  29. Example of the Control chart.mp4 30.8 MB
  3 - Causes of Variation
  3. Types of Variation.mp4 58.6 MB
  30 - Acceptance sampling plans
  30. Acceptance Sampling plans.mp4 33.6 MB
  31 - Concept of inspection plans
  31. Explanation on concept of inspection.mp4 41.9 MB
  32 - Dodge and Romig's Sampling plans
  32. Dodge and Romig's sampling plans.mp4 12 MB
  33 - Procedure for single sampling plans
  33. Single sampling plans procedures.mp4 16.6 MB
  34 - Merit and Demerit of single sampling plans
  34. Advantages and Disadvantages of single sampling plans.mp4 5.5 MB
  35 - Double sampling plans
  35. Double Sampling plans procedures.mp4 45.4 MB
  36 - Producer Risk and Consumer Risk
  36. Producer and consumer risks.mp4 19.8 MB
  37 - Curves for sampling plans
  37. Curves for sampling plans.mp4 42.3 MB
  4 - Uses of Statistical Quality Control
  4. Uses of Statistical Quality Control in the industry.mp4 58.9 MB
  5 - Product and Process control in the statistical quality control
  5. Product and process control.mp4 27.4 MB
  6 - The Control Charts
  6. The control charts.mp4 77.9 MB
  7 - The 3 Sigma Control limits will be explained
  7. The 3 sigma control limits.mp4 69.8 MB
  8 - Tools used for Statistical Quality Control
  8. Statistical Quality Control tools used.mp4 11.2 MB
  9 - Control Charts for Variables
  9. Control Charts for Variables.mp4 32.5 MB

Description


Statistical Quality Control Methodology

https://WebToolTip.com

Published 12/2025
Created by Aina Matthew
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 37 Lectures ( 2h 54m ) | Size: 1.3 GB

Quality at its best

What you'll learn
Definition of Quality Control
Importance of Quality Control in the industries
They will learn causes of variation
They will learn the types of control charts
Concept of Acceptance plans will be studied
Types of Sampling inspection will be learn
Producer Risk and Consumer Risk will be explained

Requirements
No special software is required
Willingness to learn new subject
Basic Statistics knowledge in statistics is essential

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