Statistical Techniques for Textile Engineering
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Follow on Instagram for UpdatesStatistical Techniques for Textile Engineering Syllabus — Unit-wise Content
The official GTU curriculum for Statistical Techniques for Textile Engineering (subject code BE03029041) as prescribed for Textile Tech. · Semester 3 divides the course into 6 units, covering 46 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE03029041)Unit 1 Descriptive statistics, frequency tables, histogram, scatterplot; Measures
- of central tendency
- Measures of dispersion
- standard deviation
- Measures of position
- Textile applications
- Program Name: Bachelor of Engineering Level: UG Branch: Textile Technology Subject Code : BE03029041 Course / Subject Name : Statistical Techniques for Textile Engineering_______________
Unit 2 Correlation and regression, concepts, types of correlation, partial
- rank correlation
- Confounding variable
- interpretation of correlation coefficient
- Linear regression
- least square method
- estimation of regression coefficients
- significance testing of regression equation
- slope and intercept
- residual analysis
- coefficient of determination (R2)
- Numerical examples related to textiles
Unit 3 Probability, random variables, discrete and continuous random
- Probability density functions
- cumulative distribution function
- Discrete and continuous probability distributions
- hypergeometric distribution
- Binomial distribution
- Normal distribution
- Poisson distribution
- Exponential distribution
- Chi- square distribution
Unit 4 Types of sampling methods – Probability and Non-Probability, Number
- of Test for assessment of quality of textile product & its impacts
- Formation of Hypothesis
- Test of significance for Small samples: t- Test for single mean
- difference of means
- t-test for correlation coefficients
- F- test for ratio of variances
- Chi-square test for goodness of fit and independence of attributes
Unit 5 Analysis of variance, random variations in experiments, randomisation,
- randomised block design
- One-way and two-way ANOVA. 08 20
Unit 6 Quality control charts, random and assignable variations, Type I and
- Type II errors for random and assignable variations
- Ishikawa’s fishbone diagram
- warning and action limits
- Control chart for variables and attributes
- selection of appropriate control chart
- control chart for mean (X-bar)
- defectives (np)
- fraction defectives (p)
- defects (C) etc.
- Cusum control chart
- Numerical examples related to textiles
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