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STATISTICS                                                                        07 | Gestão
                                                                                           07 | Management
         Requirements
         No Requirements







          In a broader sense, statistics is a science that deals with collection and treatment of information. It analyses the collected data, describing
          and organising them to subsequent interpretation and eventual use in forecasting future events.






                                                            CONTENTS
             OBJECTIVES
                                                            Module 1 - Unit and Plurality (Scales, Magnitude and Quantity)
             At the end of the training course, trainees will learn how to   - Concepts of Unit and Plurality
             work with tools that will allow them to carry out statistical   - Definition of Scales, Magnitude and Quantities
             analyses; will be able to develop a critical mind to assess   - Natural, Whole and Fractional Numbers
             statistical results.                            - Approximate Numbers
                                                             - Combined Operations
                                                             - Operations with Whole Numbers
             ADDRESSEES                                      - Equations
             All professionals intending to acquire or develop knowledge   Module 2 - Functions, Graphics and Proportionality
             in Statistics.
                                                             - Cartesian Coordinates
                                                             - Function – Constants and Variables
                                                             - Proportions
                                                             - Proportional Quantities
                                                             - Proportional Distribution
                                                            Module 3 - Statistics
                                                             - Definition
                                                             - Planning and Programming a Statistical Observation
                                                             - Sample and Population
                                                             - Attributes and Variables
                                                             - Graphic Representation
                                                             - Measures of Central Tendency
                                                             - Dispersion Measures
             INFORMATION                                    Module 4 - Relative Quantities - Index Numbers

             Hours: 20h                                      - Relative Numbers
             Time: See Training Plan                         - Dynamic Relative Numbers
             Material Delivered: Training Support Material   - Index Numbers
             Training: Attendance Required
             Regime: Working Hours / Post-Working Hours     Module 5 - Statistical Series with Two Variables
                                                             - Logical Product or Conjunction of Two Attributes
                                                             - Conditioned Frequencies
                                                             - Dependency or Association of Attributes or Events
                                                             - Covariance
             METHODOLOGIES                                   - Correlation

             Methodologies used by the trainer will be      Module 6 - Statistical Tables and Graphs
             expository, demonstrative and/or active, favouring   - Data Exhibition
             the latter whenever possible.                   - Principles for Producing Tables
                                                             - Constituent Parts of a Table
                                                             - Rules for Producing Statistical Graphics
                                                             - Interpreting and Analysing Statistical Data












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