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Industrial Statistics
This paper is focused on the study of different statistical techniques in psychometric analysis and statistical quality control, which involves the techniques for maintaining and improving the quality of products.
Students will be able to:
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Course |
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Learning and teaching strategies |
Assessment Strategies
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Paper Title |
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STT-302 |
Industrial Statistics |
CO 34: Demonstrate their ability to apply statistics in psychological fields to calculate scores and deal with the scaling of data.
CO 35: Analyse the reliability and validity of the data through various methods
CO 36: Learn basic concepts of SQC and control charts.
CO 37: Learn techniques and approach of SQC being used in industry to manufacture goods and services of high quality at low cost.
CO 38: Brief idea about the various sampling plans to assure the quality of a product. |
Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students: Assignments Seminar Presentation Subject based Activities |
Classroom Quiz Assignments Class Test Individual Presentation |
Types of scales: Nominal, Ordinal, Ratio and Interval, scaling of difficulty. Scaling of scores: Z- score, standard score, normalized score- T score, Percentile score.
Intelligence test and intelligence quotient and its uses. Reliability of test scores: Concept, test retest method, parallel forms method, split half method. Validity of test scores: Concept, method of determination. Effect of length and range of test. Comparisons between reliability and validity
Concept of SQC, process control. Causes of variation in quality, Shewhartz Control Charts technique of rational sub groups, control limits, Natural tolerance limits, Specification limits, summary of out of control criteria.
Control Charts for Variables: Construction of Mean, Range and Standard Deviation Charts. Concept of defects and defectives. Control chart for attributes: Construction of np-chart, p-chart, and c-chart.
Unit-V
Product Control (lot control) , Sampling Plan: Acceptance Sampling for Attributes, AQL, AOQL, LTPD, process average fraction defective, consumer’s risk and producer’s risk, ASN, ATI, Rectifying inspection plan. Concept of Single sampling Inspection plans and Double Sampling Plan. OC curve, ASN curve.
- Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991):Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta
- Gupta, S.C. and Kapoor, V.K.(2000): Fundamentals of Applied Statistics, S Chand Company, New Delhi, tenth editions.
SUGGESTED READINGS:
- Montgomery, D.C. (2001): Introduction to Statistical Quality Control, John Wiley and Sons, Third Edition.
- Speigel M.R., (1967): Theory and Problem of Statistics, Schaum’s Publishing Series.
- Guilford, J.P. and Fruchter B.(1980): Fundamental Statistics in Psychology and Education. Mc Graw Hill.
- Grant, E.L. (1964): Statistical Quality Control, Mc Graw Hill.
e-RESOURCES:
JOURNALS:
- Sankhya The Indian Journal of Statistics, Indian Statistical Institute
- Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
- Afrika Statistika, Saint-Louis Senega University
- International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
- Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
- Journal of the Indian Statistical Association, Indian Statistical Association
- Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
- Statistics and Applications, Society of Statistics, Computer and Applications
- Stochastic Modeling and Applications, MUK Publications and Distributions
