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Biju Patnaik University of Technology
**Course:
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B.Tech
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Page-1

- Introduction to Probabilty - ( 1 - 5 )
- Probability of an Event - ( 6 - 17 )
- Conditional Probability Bayes Rule - ( 18 - 21 )
- Random Variable Probabilty Distribution - ( 22 - 26 )
- Discrete and Continuous Probability Distribution - ( 27 - 34 )
- Joint Probability Distribution, Marginal Distribution, Conditional Probability Distribution - ( 35 - 56 )
- Variance and Co-Variance of Random Variables - ( 57 - 62 )
- Mean and Co-variance of Linear Combination of Random Variables - ( 63 - 72 )
- Chebyshev Theorem - ( 73 - 78 )
- Binomial and Multinomial Distribution - ( 79 - 84 )
- Hypo-geometric and Geometric Distribution - ( 85 - 90 )
- Poisson Distribution - ( 91 - 97 )
- Negative Binomial, Continuous Uniform Distribution - ( 98 - 100 )
- Normal Distribution and Variance of Normal Distribution - ( 101 - 113 )
- Exponential Distribution, Chi-square Distribution - ( 114 - 119 )
- Sampling Distribution - ( 120 - 126 )
- Estimation of Parameter - ( 127 - 143 )
- Test of hypothesis - ( 144 - 147 )
- Maximum Likelyhood estimation - ( 148 - 154 )
- Hypothesis Testing on Mean - ( 155 - 161 )
- Simple Linear Regression Model - ( 162 - 167 )
- Properties of Least Square Estimators - ( 168 - 170 )

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