Sampling Methods and Data Processing

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Objectives

The main objectives of this course are:

1. To know the main forms of statistical sampling;

2. To know how to do exploratory statistical data analyses: measures of central tendency; measures of dispersion; and distribution types

3. Ability to make different types of graphics suitable to different types of statistical data;

4. To apply parametric and non-parametric tests for comparison of statistical variables;

5. Ability to use statistical methods of correlation and regression analyses.

Program

1. Introduction to statistics, description and summary data

1.1. What is statistics?

1.2. Sample Types

1.3. Data Description

1.4. Numerical summary of the data

2. Probability and distributions:

2.1. Probability and distributions

2.2. Sample distributions

3. Estimate intervals and hypothesis testing a sample

3.1. Ranges of estimates for a sample

3.2. Hypothesis Test sample

4. Inferences

4.2. Inferences for two independent samples

4.3. Inferences of paired data

5. Analysis of variance

5.1. Analysis of variance

5.2. Categorical Data Analysis

6. Implications and Analysis of regressions

6.1. Statistical inference

6.2. Simple linear regression

6.3. Comparison of linear regressions

6.4. Correlation coefficients

6.5 Non-Parametric analyses

Teaching Methodologies

The contents will be transmitted to students based on practical classes, through explanatory talks using dynamic visual presentations. The explanatory presentations will also betake interrogative methods to keep the attention and participation of students. Problem solving exercises in class will help consolidate the knowledge. The use of data analysis software (eg Excel, Statistica), that will allow to perform quickly statistical tests and graphs, will be practiced.

After the classes the most relevant bibliography will be made available through the platform b-learning Moodle, which will also be used off-line to answer questions and / or give further information.

Bibliography

Geral:

Como bibliografia principal para a disciplina serão utilizadas as seguintes obras:

Daniel, W.W. (1990). Applied Nonparametric Statistics. PWS-Kent Publishing Company.

Devore, J.L. & R.L. Peck (1986). Statistics, the Exploration and Analyses of Data. West Publishing Company.

Zar, J.H. (1974). Biostatistical Analysis. Prentice-Hall Inc.

Complementar:

Ricker, W.E. (1975). Computation and Interpretation of Biological Statistics of Fish Populations. Bulletin of the Fisheries Research Board of Canada, 191.

Sokal R. & F. Rohlf (1981). Biometry. Second Edition. W.H. Freeman and Company.

Em cada aula será ainda fornecida aos alunos bibliografia específica sobre o tema.

Code

0200909

ECTS Credits

4

Classes

  • Orientação Tutorial - 7.5 hours
  • Teóricas - 15 hours
  • Teórico-Práticas - 15 hours
  • Trabalho de Campo - 8 hours

Evaluation Methodology

  • 1st Frequency: 30%
  • 2nd Frequency: 30%
  • Attendance and Participation: 10%
  • Continuous assessment sheets: 30%