Industrial Statistics

Paper Code: 
STT 302
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

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.

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT-302

Industrial Statistics

CO 30: To demonstrate their ability to apply statistics in psychological fields to calculate scores and deal with the scaling of data.

 

CO 31: Ability to analyse the reliability and validity of the data through various methods

 

CO 32: Learn techniques and approach of SQC being used in industry to manufacture goods and services of high quality at low cost.

 

 CO 33: 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

 

10.00
Unit I: 
Statistical Method in Psychology and Education - I:

Types of scales: Nominal, Ordinal, Ratio and Interval, scaling of difficulty. Scaling of scores: Z- score, standard score, normalized score- T score, Percentile score.

 

8.00
Unit II: 
Statistical Method in Psychology and Education - II:

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.

 

9.00
Unit III: 
Statistical Quality Control -I

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.

 

10.00
Unit IV: 
Statistical Quality Control -II:

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.

8.00
Unit V: 
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.

 

Essential Readings: 
  • 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.
  • 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.

 

Academic Year: 
2021-2022
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