MATE-1506 Probability and Statistics II

The objective of this course is to familiarize students with statistical inference, estimation and hypothesis testing concerning the parameters of a population and multiple linear regression models. The theory is explained with practical examples and exercises with statistical software such as SPSS, SAS or STATA. Mean distribution. Ji squared distribution. t distribution. F distribution. Order Statistics. Unbiased estimators. Efficiency. Consistency. Sufficiency. The moment method. The maximum likelihood method. Estimating means. Estimating the difference between means. Estimating proportions. Estimating the difference between proportions. Estimating variances and quotient. Hypothesis testing. Neyman Pearson Lemma. Power function, likelihood ratio. Mean testing. Testing the difference between means. Variance testing. Proportion testing. Analysis of an rXc table. Goodness of fit. Minimum square method. Analysis of normal regression. Analysis of normal correlation. Multiple linear regression. Matrix notation.




Rodriguez Granobles Fredy