To acquire knowledge on the basic concepts of descriptive statistics and statistical inference to be used throughout the course of Economics. It is intended that the student knows and knows to apply: the appropriate statistical description of the data sets; the concepts of probability and probability distributions; the main probability distributions; the concept of sampling; the parameter estimation; hypothesis tests.
It is intended that students acquire fundamental skills in the field of Descriptive Statistics and Inferential Statistics parametric studies for statistical analysis, including the use of appropriate software (eg, SPSS).
Syllabus
1. Introduction and description of data - graphical and numerical methods:
1.1. Classification of variables;
1.2. Measures of central tendency and variability;
1.3. Measures of relationships between variables.
2. Elements of Chance: Probability Methods:
2.1. Random experiment, outcomes and events;
2.2. Probability rules; Bivariate probabilities; Bayes Theorem.
3. Discrete Probability Distributions:
3.1. Probability distributions;
3.2. Binomial, Hypergeometric and Poisson distribution.
4. Continuous Probability Distributions:
4.1. Normal Distribution.
5. Distributions of Sample Statistics:
5.1. Sampling distributions of sample: means and proportion.
6. Estimation:
6.1. Properties of estimators;
6.2. Confidence intervals.
7. Hypothesis Tests:
7.1. Tests for the mean and the proportion;
7.2. Tests of the difference between two normal population: means and the proportions.
Methodologies based on the exposure of the teacher are applied, sometimes resorting to computer applications. In the theoretical lectures all taught contents are immediately followed by examples of application for a better understanding of such content.
In practical lessons, students are challenged to solve problems and case studies. The teacher monitors students in problem solving, encouraging the discussion of methodologies and results.
Teaching emphasis is given to knowledge of the concepts and the interpretation of results. The transmission of fundamental techniques of quantitative data analysis and its application through exercises and use of statistical software, relevant to real situations, particularly in Economics, will empower the students with the fundamentals of Statistics I, at this level of education.
In the practical lessons the teacher accompanies the students in solving problems, encouraging the discussion of the methodologies and obtained results, thus providing the possibility of a reflection on the appropriate choice of the techniques of exploratory data analysis and the hypothesis tests. Sometimes, software such as SPSS or MS. Excel, are used during the data analysis.
Statistics for Business and Economics.
Paul Newbold,
William L. Carlson
Betty Thorne
7ª Edição. 2009. Pearson Prentice Hall. ISBN -13: 9780136085362
0103100
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