European Union Portugal 2020 - Agriculture and Rural Development Foundation for Science and Technology European University Foundation
Suggestions, Compliments, Complaints Terms & Conditions of Use Projects Co-financed by the European Union
©2025 Instituto Politécnico de Coimbra. Todos os direitos reservados.

Search

Statistics and Experimental Design

Home / Oferta Formativa / Coimbra Agricultural School / Master / Master in Crops and Livestock Engineering

Base Knowledge

Mathematics.

Teaching Methodologies

Theoretical exposition accompanied by exemplification. Resolution of exercises in paper and with the software IBM SPSS Statistcs.

Learning Results

  • To understand the basic concepts of statistics.
  • To organize, analyze and interpret statistical data.
  • To choose and apply appropriate basic statistical methods for data analysis.

Program

  1. Descriptive statistics. Data types and presentation. Measures of central tendency and measures of dispersion.
  2. Probabilities.
  3. The normal distribution.
  4. Hypothesis testing for the mean of a sample.
  5. Hypothesis test for the mean of two samples.
  6. Multi-sample hypothesis testing and analysis of variance (ANOVA). Multiple comparisons.
  7. Data transformation.
  8. Simple linear regression.
  9. Using IBM SPSS Statistics.

Curricular Unit Teachers

Maria Manuela Correia Abelho

Internship(s)

NAO

Bibliography

IBM SPSS Statistics.

Marôco, J (2018) Análise Estatística, com utilização do SPSS, 7ª edição. [Chapters 1-4, 6-8, 14]

Zar, JH (2010) Biostatistical Analysis, 5ª edição. Prentice Hall, Inc. [Chapters 1-11, 13, 17]