Industrial Statistics & Quality Management
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Follow on Instagram for UpdatesIndustrial Statistics & Quality Management Syllabus — Unit-wise Content
The official GTU curriculum for Industrial Statistics & Quality Management (subject code 2171504) as prescribed for Industrial · Semester 7 divides the course into 4 units, covering 22 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 (2171504)Unit 1 Introduction
- Meaning and scope of Industrial statistics
- common patterns of variations
- The normal
- binomial and poison distributions and its properties
- Elements of Probability as applied to statistics
- conditional probability
- Bayer’s theorem
Unit 2 Statistics theory
- Measures of central tendency – Mean
- measures of dispersion - standard deviation
- standard deviation of combined group
- absolute and relative measures of dispersion
- skewness and kurtosis
Unit 3 Probability theory
- Probability distribution of discrete and continuous random variable functions
- probability density functions
- Moment generating functions of binomial
- geometric and hypergeometric distributions
- Mathematical expectations
Unit 4 Tests of significance
- Elementary theory and practice of sampling
- standard error of means and variance
- tests of significance X- test
- Z-test, and their application
- Mathematical expectations
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