Statistical Techniques and Design of Experiments

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KHUDKIBOOK
STATISTICAL TECHNIQUES AND ME01025061
FREE PDF ME01025061
Code: ME01025061 Credits: 4 Semester 1 TE

Statistical Techniques and Design of Experiments

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Statistical Techniques and Design of Experiments Syllabus — Unit-wise Content

The official GTU curriculum for Statistical Techniques and Design of Experiments (subject code ME01025061) as prescribed for TE · Semester 1 divides the course into 7 units, covering 35 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 (ME01025061)

Unit 1 Basic Statistics for Textile materials/processes

5 lecture hours

  • Collection of Data for textile material or process
  • Graphical representation of data
  • types of distribution curves
  • Measure of central tendency - Mean
  • Median and Mode
  • Partition values – Quartiles
  • Deciles and Percentiles

Unit 2 Measurement of Dispersion of Textile raw materials, intermediate

6 lecture hours

  • products and processes: Dispersion – Range
  • Quartile Deviation
  • Mean Deviation
  • Standard Deviation
  • Coefficient of Range
  • Coefficient of Quartile Deviation
  • Coefficient of mean Deviation
  • Coefficient of Variation

Unit 3 Correlation and Regression of Industrial data

6 lecture hours

  • Types of Correlation
  • Measure of correlation – Scatter Diagram and Karl Pearson’s Coefficient of Correlation
  • Coefficient of determination
  • Spearman’s Rank Correlation Coefficient
  • Line of Regression analysis

Unit 4 Basic of Probability & Probability Distribution of textile data

6 lecture hours

  • Normal, T, Chi-square, and F distributions distribution

Unit 5 Application of Statistics for textile data

7 lecture hours

  • 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 6 Control Charts to control quality of textile product / processes

5 lecture hours

  • Introduction and Significance of Control Chart
  • Control Charts for Variable (X-bar and R Chart)
  • Control Charts for Attributes (p
  • Acceptance of sampling

Unit 7 Planning of textile Experiment using Design of Experiment (DOE)

10 lecture hours

  • Use of DOE, Guideline for designing of experiment
  • Classification of Design of Experiment
  • Two level and three level factorial design
  • One way ANOVA and Two way ANOVA

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