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.
Methodology and grading
- Case studies: Learning through the analysis of actual or simulated cases in order to interpret and resolve them by employing various alternative solution procedures.
- Problem-based learning: Develop active learning strategies through problem solving that promote thinking, experimentation, and decision making in the student.
- Solving exercises and problems: Exercise, test, and apply previous knowledge through routine repetition.
The final grade will be obtained as follows:
Final Note (NF) = 0.2 x EP + 0.75 x ET+0.05 x PC
(1) Continuous Assessment (EP) = 20%
(2) Final exam (ET) = 75%
(3) Class Participation (PC) = 5%
To pass the course the student must obtain at least 5 in ET and the final grade (NF) is equal to or greater than 5 points.
(1) Continuous assessment (EP): (0-10).
Option 1 (EP): Making scoring assessments over corresponding to the practices during the course and course using the Excel tool.
Option 2 (EP): Making a final practice exam, which will consist of problem solving with EXCEL, without making use of any material support, except for the help offered by the EXCEL program itself.
(2) Final exam (ET) (0-10). The exams will be written to solve problems and questions related to the contents of the subject. Each problem or issue will be scored according to the quality of its approach and numerical resolution. There will be two parts to evaluate the theoretical concepts of the subject. The score of each partial exam will be about 10 points. If the test scores for each of the partial tests are equal to or greater than 4 points above 10, ET will be obtained as follows:
ET = 0.6 x Grade examination PARTIAL1 + 0.4 x Grade examination PARTIAL2
Two opportunities will be given for each block, that is, two exams will be carried out for each of the blocks. The temporary programming of the exams is as follows:
First opportunity: The first opportunity of each part will be realized during the course once the corresponding contents are imparted.
Second chance: It will be done the day of the determined date for the final exam of the subject in the ordinary call of the subject.
For ET to average practice (EP) and participation (PC), at least a 5 in (ET) must be obtained. Those who in the ordinary call of have not passed ET with at least 5 points on 10 points, will be examined of both partial in the following calls.
(3) Class Participation (PC) (0-10).
Option 1 (PC): the number of shares in the class and quality of them is particularly assess.
Option 2 (PC): Valuation through an extra exercise in the Theory Exam.