Applied Statistics

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At the end of this course, students should be familiar with the basic concepts of inferential statistics, and will be able to perform basic statistical analysis in a variety of scenarios. In most scientific research, researchers have to deal with the problem of drawing conclusions about some population characteristic of interest, relying only on a sample of observations from that population. Inferential statistics is a way to tackle this problem. This course starts by covering the foundations of inferential statistics, emphasizing the logic behind the statistical reasoning process. This logic is then employed to explain a number of widely used applied statistical methods: ANOVA, Chi-square, Nonparametric Wilcoxon tests and multiple regression. Students will learn how to run each of these applied tests using the statistical software package SPSS. Additionally, they will learn how to determine the minimal number of observations needed to be able to show, with a fixed probability, a specified research hypothesis.