AGRICULTURAL
UNIVERSITY OF ATHENS
Department of Food 
Science & Human Nutrition

Statistical Data Analysis using Statistical Packages

Content

1) Statistical packages (how to use).
2) Brief overview of (a) the principles of statistical inference and (b) inference about means, proportions and variances (confidence intervals and hypothesis tests for a population mean, proportion or variance and for comparing two population means, proportions or variances; Analysis of variance and multiple comparisons tests ; Goodness-of-fit test; Chi-Square test of independence).
3) How to apply checks for method’s assumptions (tests for Normality, tests for comparing variances, normal probability plots, residuals plots, etc.).
4) Non-parametric tests (Sign test, Mann-Whitney test, Wilcoxon test, Kruskal-Wallis test, Friedman test, etc.).
5) Regression analysis (simple linear regression and correlation; multiple regression; logistic regression).
6) Diagnostic tools for checking the regression assumptions (residuals plots, etc.); data transformations.

Learning results

Upon completion of this course, the student is expected to be able to:

  • translate a research question into a statistical hypothesis or/and into a regression model when given a data group and the type of experimental design or sampling procedure
  • apply estimation and testing methods in order to make data-based decisions
  • model and investigate relationships between two or more variables within a regression framework
  • apply checks for method’s assumptions
  • comprehend and interpret correctly the statistical significance
  • interpret results correctly, effectively, and in context without relying on statistical jargon
  • comprehend the notion of uncertainty which is always contained in statistical inference critique data-based claims and evaluate data-based decisions
  • complete a research project that employs simple statistical inference
  • use statistical software to summarize data numerically and visually, and to perform data analysis
  • comply to ethical issues.

Bibliography

1. Κούτρας, Μ. Β. και Ευαγγελάρας Χ., Ανάλυση Παλινδρόμησης-Θεωρία και Εφαρμογές, Εκδόσεις ΤΣΟΤΡΑΣ ΑΝ ΑΘΑΝΑΣΙΟΣ, 2018.
2. Watt, T. A., McCleery, R. H. and Hart, T., Introduction to Statistics for Biology, Chapman and Hall/CRC, Third Edition, 2007.
3. Zar, J. H., Biostatistical Analysis, Prentice Hall, Fifth Edition, 2010

NEWSLETTER

The Department of Food Science and Human Nutrition (renamed Department of Food Science and Technology, Decree 80/27/5/13, Government Gazette A119 28/5/13) offers its students the scientific background for a rational approach to scientific and technological issues related to the food sector.
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