Course Outcomes
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CO
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COGNITIVE ABILITIES
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COURSE OUTCOMES
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|---|---|---|
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CO1
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REMEMBERING
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Remember the basic concepts of discrete and continuous probability distributions, univariate distributions, and bivariate distributions.
Recall the basic definitions, formulas, and concepts of correlation, regression, and curve fitting. |
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CO2
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UNDERSTANDING
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Understand the concept of univariate and bivariate probability distributions. Understand the concept of transformation of random variables.
Understand the methods of calculating simple, multiple, and partial correlation coefficients and their interpretations. |
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CO3
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APPLYING
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Apply univariate and bivariate probability distributions to solve real-life problems including calculating probabilities and expected values.
Apply the principles of curve fitting and regression analysis to model the relationship between variables in real-world datasets. |
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CO4
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ANALYSING
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Analyse and compare different probability distributions to select the appropriate model for specific real-life applications.
Analyze the datasets to evaluate the strength and nature of relationships using correlation and regression techniques. |
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CO5
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EVALUATING
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valuate the suitability and performance of probability distribution models in representing data.
Evaluate the regression model and validate the assumptions underlying correlation and regression. |
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CO6
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CREATING
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Develop probabilistic models using appropriate probability distributions to address complex problems in a practical context.
Create predictive models using simple, multiple, and partial regression techniques to solve complex problems. |
