Research in Organic Farming

Base Knowledge

Mathematics.

Teaching Methodologies

Theoretical exposition accompanied by exemplification. Resolution of exercises as a way of consolidating the acquired knowledge.

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

Grading Methods

Continuous assessment

There are no minimuns. Undelivered assessment itens count as 0 when calculating the final grade:

  • Exercises: 35% (7 exercises, 5% each).
  • Written test: 65%.

Assessment in examination period

  • One written test with all subjects: 100%.

Students who underwent continuous assessment and obtained a grade greater than or equal to 9.5 in the exercises may choose the following option:

  • Average grade of the exercises: 35%.
  • Written test with all subjects: 65%.

    Internship(s)

    NAO

    Bibliography

    Zar , JH (2010) Biostatistical Analysis , 5ª edição . Prentice Hall, Inc., NJ