Learning to Develop Statistical Models of Quality Control Processes

By Milnikov, Irina

Book Id: WPLBN0003841789
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title:	Learning to Develop Statistical Models of Quality Control Processes
Author:	Milnikov, Irina
Volume:
Language:	Georgian
Subject:	Georgian, Education, Learning Process in Higher Education
Collections:	National Library of Georgia
Historic Publication Date:	2012
Publisher:	Library of Georgia


Citation APA MLA Chicago Milnikov, I. (2012). Learning to Develop Statistical Models of Quality Control Processes. Retrieved from http://www.gutenberg.cc/

Table of Contents
TOC: Introduction; the First Chapter. the Determination and Purpose of the Study; 1.1 General Definitions; 1.2 Quality Assurance and the Essence of the Education System; 1.3 Quality Control; 1.3.1 Quality Assurance of Educational institutions of the European Standards; 1.3.2 the Basic Principles of the Standards; 1.3.3 External Quality Assurance Standards; 1.3.4 Educational institutions internal Quality Assurance Standards; 1.3.5 the Findings of the Educational Process Quality Control Issues; 1.4 Quality Control of Statistical Fundamentals; 1.4.1 General Concepts; 1.4.2 Control Mapping Statistical Basis; 1.4.3 P- Maps; 1.4.4 R- and Maps; 1.4.5 S- and Maps; 1.5 the Use of Statistical Control of the Quality of the Educational Process; 1.6 Conclusion and Research Purposes; 1.6.1 Conclusions; 1.6.2 Objectives of the Study; Chapter Two. Equalizer (Equating); 2.1 Terminology; 2.2 Scale; 2.3 Equalization theoretical Fundamentals; 2.3.1 Types of Equalization; 2.3.2 Igiveuri Equalizer (Identity Equating); 2.3.3 Linear Equalizer (Linear Equating); 2.3.4 Gatanbreba Against Average (Mean Equating); 2.3.5 A Circle Arc Equalizer (Circle-Arc Equating); 2.3.6 Ekviprotsentiluri Equalizer (Equipercentile Equating); 2.4 Ekvinishniani Equalization Method (Equiscore Equating Method); 2.4.1 Ekvinishniani Essence of Equalization; 2.4.2 Develop A Model of Distribution; 2.4.3 Ekvinishniani Function; 2.4.3.1 Percentile Ranks and Protsentiluri Direct Assessment; 2.4.3.2 Selective Distribution Parameters (Gagluveba); 2.4.3.3 Ekvinishniani Analytical Function of the Image; 2.4.4 Numerical Example; 2.5 Conclusion; Chapter Three. Standards; A Factor of 3.1 Spreadsheet (Contingency tables) (2 × 2 tables) Statistical Analysis; 3.1.1 Observations and Standby Frequencies; 3.1.2 Verification of independence; 3.2 Spreadsheet Model Modification Factor For the Development of Standards For the Tests; 3.3 Quality Standards and Allowable intervals; 3.3.1 Protsentiluri Ranks Annual Values of the Stationary Character; 3.3.2 Standards and Religion (Acceptable) intervals; 3.4 Numerical Example; 3.5 Complete Training Datsesbulebis Level of Training Process Quality Control Method, Algorithm and Software; 3.5.1 Quality Control Method Algorithm Learning Processes; 3.5.2 Quality Control Method of Learning Processes in the Software; Chapter Four. Statistical Quality Control At Lower Hierarchical Levels: one Group of the Assessment of Teaching Methods; 4.1 Sastsvlo Process of Assessing the Development of the Group; 4.2 one Group Sastsvlo Evaluation indexes; 4.3 Sastsvlo Processes Different Groups of Comparative indices; 4.4 Numerical Example; A. one Group Rate; B. Comparison of the Two Groups; 4.5 Conclusion; Research Results; References; 1. Add the Quality of Educational Process; Control Software Text; 2. Add A 5-Year-Old and 6-Discipline; Examination Results of Statistical Analysis.