Probability and Introduction to Statistics
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Probability and Introduction to Statistics Syllabus — Unit-wise Content
The official GTU curriculum for Probability and Introduction to Statistics (subject code 2142505) as prescribed for Production · Semester 4 divides the course into 4 units, covering 34 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 (2142505)Unit 1 Introduction to Statistical Methods
- Statistics & Managerial Decisions
- Statistical Data
- Operation Research Techniques. 6 15
Unit 2 Data Collection And Analysis
- Collection and presentation of data in terms of tables
- raw data
- frequency distributions
- histogram etc
- Cumulative frequency curve
- Measures of central tendency and location
- Partition values
- Comparison of various measures of central tendencies
- Measures of dispersion
- skewness & kurtosis
- comparison of various measures of dispersion
- Moments as measures of Statistical properties
- measures of skewness & kurtosis based on moments
Unit 3 Probability Distribution & Statistics
- Introduction of Probability
- space & events
- Basic rules of probability
- permutation & combinations
- conditional probability
- Baye’s theorem
- distributions: Binomial
- Exponential and Normal distribution with their properties and application
- Random variables - discrete and continuous probability distribution functions
- probability density functions
- mean medium
- moment and moment generating functions of Binomial
- geometric & hyper geometric
- Concept of joint probability distribution
Unit 4 Correlation And Regression Analysis
- Curve fitting
- correlation and regression analysis
- Multiple regression
- statistical Inference & estimation applied to Industrial problems
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