Statistics B

This course follows the course Statistics A. The interest here is shifting from studying the behavior of a random variable, which has already been covered, to the study of relationships between two or more quantifiable variables and the estimation of one of them when the values of others are known. The techniques applied are Regression Analysis (Simple and Multiple Regression). It also introduces the methodology of ANOVA which is applied to compare the means of more than two populations. Finally, Forecasting Methods and Indices are presented, which are of particular interest for certain areas of Business Administration and their practical applications.

Objectives

Upon completion of the learning process the student will be able To apply linear models in observational data To check the suitability of the models, To test the hypotheses of models To develop statistical inference for model parameters To make predictions by using the models To apply various forms of non-linear models to data and to assess their suitability To apply the methodology of Analysis of Variance

Prerequisites

Adequate knowledge of Mathematics and Statistics A

Syllabus

Introduction Analysis of Variance Simple Linear Regression and Correlation Non Linear Models Multiple Regression Times Series Analysis and Forecasting Index Numbers