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Probability and Statistics
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Regression line
Class Notes for
Regression line
Probability and Statistics
Introduction and probability of an event, additive rule and multiplication rule
Conditional probability Bayes rule
Random variable, discrete and continuous probability, joint probability, Mathematical expectation
Variance and co-variance of random variables
chebyshev theorm
Binomial Multinomial, Hypo-geometric, Geometric and Poission distribution
Uniform, Normal and Exponential Distribution
Chi-squared distribution and Weibull s distribution
Statistics and Sampling distribution of S2, t- distribution, F- distribution
Statistical preference with estimation
Standard error, Prediction interval, Tolerance limits, Estimating the difference between means of tw
Maximum likelihood estimation
Test of Hypothesis
Goodness of fit and test for independence
Regression line
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