Statistics II

The aim of this course is the presentation of advanced concepts and statistical tools beyond the first level, and the applications of statistics in business administration and finance. It is presented the analysis of variance techniques, the nonparametric methods, simple and multiple regression, nonlinear regression, the estimation of models with qualitative dependent variables, and finally an introduction to the methods of assessment time series models.

Objectives

Upon successful completion of this course, the student should: 1. Has knowledge of the concepts of the theory of the modeling assessment 2. Has knowledge of basic statistical hypothesis testing techniques in models, simple and multiple regression, nonlinear regression. 3. Has knowledge of models of quality assessment methods addicts Variables. 4. Has knowledge of key time series model estimation methods. 5. Know how to input data and conducting statistical analyzes with Excel as well as specialized programs statistics. 6. Know how to put into practice the methods of statistical.

Prerequisites

Successful monitoring of Statistics I

Syllabus

STATISTICS II (1/4) - Variables and data. - Sums. - Properties arithmetic. - Principal applications of geometric mean. - Quadrants. - Prevailing price. STATISTICS II (2/4) - Statistics Diaspora measures - asymmetry - curve. - Calculation of variation and standard deviation. - Coefficient of Variation. - Measures Asymmetry. - Coefficient of bending. STATISTICS II (3/4) - Normal distribution. - Features Normal Distribution. - Table cumulative distribution. - Statistical induction. - Sampling. - The Central Limit Theorem. - Confidence interval. STATISTICS II (4/4) - Examination statistics Affairs. - Econometrics. - Manufacturing process and control model. - Linear regression. - Equation simple linear regression