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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.
Types of scales: Nominal, Ordinal, Ratio and Interval, scaling of difficulty. Scaling of scores: Z- score, standard score, normalized score- Tscore, Percentile score.
Intelligence test and intelligence quotient and its uses. Reliability and validity of test scores: Concept, method of determination and effect of length and range of test.
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.
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.
1. Goon, A.M., Gupta, M.K. and Dasgupta, B. (1991):Fundamentals of Statistics, Volume II, The World Press Pvt Ltd, Calcutta 2. Gupta, S.C. and Kapoor, V.K.: Fundamentals of Applied Statistics, S Chand Company, New Delhi.
1. Montgomery, D.C. (2001): Introduction to Statistical Quality Control, John Wiley and Sons, Third Edition. 2. Speigel M.R., (1967): Theory and Problem of Statistics, Schaum’s Publishing Series. 3. Guilford, J.P. and Fruchter B.(1980): Fundamental Statistics in Psychology and Education. Mc Graw Hill. 4. Grant, E.L. (1964): Statistical Quality Control, Mc Graw Hill.
