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**Note**Institute:
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Biju Patnaik University of Technology BPUT
**Course:
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B.Tech
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**903**Views:
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**2 years ago**

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Page-1

- Introduction and probability of an event, additive rule and multiplication rule - ( 1 - 15 )
- Conditional probability Bayes rule - ( 16 - 20 )
- Random variable, discrete and continuous probability, joint probability, Mathematical expectation - ( 21 - 54 )
- Variance and co-variance of random variables - ( 55 - 67 )
- chebyshev theorm - ( 68 - 72 )
- Binomial Multinomial, Hypo-geometric, Geometric and Poission distribution - ( 73 - 90 )
- Uniform, Normal and Exponential Distribution - ( 91 - 109 )
- Chi-squared distribution and Weibull s distribution - ( 110 - 113 )
- Statistics and Sampling distribution of S2, t- distribution, F- distribution - ( 114 - 122 )
- Statistical preference with estimation - ( 123 - 131 )
- Standard error, Prediction interval, Tolerance limits, Estimating the difference between means of tw - ( 132 - 143 )
- Maximum likelihood estimation - ( 144 - 145 )
- Test of Hypothesis - ( 146 - 158 )
- Goodness of fit and test for independence - ( 159 - 165 )
- Regression line - ( 166 - 170 )

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