Class notes
Probability and Statistics
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Uploaded on
25-01-2025
Written in
2024/2025
Probability and Statistics explore randomness, data analysis, and uncertainty. The course covers probability theory (sample spaces, random variables, distributions, expectation, independence) and statistics (descriptive measures, hypothesis testing, regression, confidence intervals). Applications span science, engineering, and machine learning, emphasizing interpreting data, making predictions, and solving real-world problems under uncertainty.
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Written for
- Institution
- IIT KHARAGPUR
- Course
- MA20104
All documents for this subject (1)
Document information
- Uploaded on
- January 25, 2025
- Number of pages
- 132
- Written in
- 2024/2025
- Type
- Class notes
- Professor(s)
- Adrijit goswami
- Contains
- All classes
Subjects
-
bayes theorem lln clt
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confid
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probability sample space events random variable
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distributions pmf pdf cdf expectation
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variance independence conditional probability
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descriptive measures hypothesis testing
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