Descriptive statistics for continuous and discrete variables. Frequency tables, location and dispersion measures. Graphing procedures. Simple, chained, and compound index numbers. Introduction to time series. Probability. Populations and samples. Introduction to sampling.
This course provides the knowledge, skills and basic tools to analyze a set of data and to extract relevant information from them in order to improve the process of decision making in real situations that arise in almost all professional fields, in particular in the field of the company and the economy.
Likewise, itt contributes to better knowledge and understanding of basic economic terminology such as indexes (prices, consumption, production, ...), trends, seasonality, variability, ... which are useful in assessing the contour conditions in decision-making in the business environment.
Finally, it provides the basic knowledge and basic skills to introduce the notion of randomness (probability) in the process of decision making, as relevant element when assessing the risk assumed in the decision alternatives being considered.