FAZOS (Faculty of Agrobiotechnical Sciences Osijek), part of Josip Juraj Strossmayer University of Osijek, is one of the leading academic institutions in Croatia in the fields of agronomy, agrobiotechnology, food production and sustainable agriculture. Due to its strong focus on experimental research, field trials and interdisciplinary approaches, statistical data analysis plays a central role in nearly every academic and scientific project.
Students and researchers work with complex datasets including field experiments, laboratory analyses, climate and agroecological data, animal production data, sensory food analysis, agricultural economics and survey data. Statistics is therefore essential for valid conclusions.
Statistical data analysis for FAZOS Osijek (Faculty of Agrobiotechnical Sciences Osijek)
FAZOS (Faculty of Agrobiotechnical Sciences Osijek), part of Josip Juraj Strossmayer University of Osijek, is one of the leading academic institutions in Croatia in the fields of agronomy, agrobiotechnology, food production and sustainable agriculture. Due to its strong focus on experimental research, field trials and interdisciplinary approaches, statistical data analysis plays a central role in nearly every academic and scientific project.
Students and researchers work with complex datasets including field experiments (yield, growth, treatments, variety trials), laboratory analyses (chemical composition, microbiology), climate and agroecological data, animal production data, sensory food analysis, agricultural economics and survey data.
Statistics is therefore essential for valid conclusions. A full overview is available in the F8 hub: https://statistical.agency/en/f-faculties/f8-statistical-help-agronomy-biotechnical-food-technology-faculties
Characteristics of agronomy research
Agronomy involves highly variable biological systems. Soil, climate, rainfall, temperature, genotype, fertilization, irrigation and plant protection all influence results simultaneously.
The key challenge is separating real effects from random variation.
Experimental design
Randomized block design
Randomized block design controls environmental variability.
Factorial design
Factorial design analyzes multiple factors and interactions.
Split-plot design
Split-plot design is used in hierarchical experiments.
Repeated measures
Repeated measures track changes over time.
Statistical methods
Descriptive statistics
Descriptive statistics provide basic understanding of data.
ANOVA
ANOVA is a core method for group comparisons.
Post-hoc tests
Post-hoc tests identify differences between groups.
Correlation
Correlation analyses relationships between variables.
Regression
Regression models influence of predictors.
Multivariate methods
PCA and clustering are used for complex datasets.
SPSS usage
SPSS is used for data processing, hypothesis testing and visualization. Interpretation remains critical.
Sample size and reliability
Small samples lead to low power, while poor design can lead to incorrect conclusions.
Typical topics
Crop yield, fertilization, climate effects, food quality and agricultural economics.
Workflow
I prepare statistical results and suggest presentation. The author remains responsible for interpretation and final text.
Keywords
FAZOS Osijek statistics, agronomy statistics Osijek, SPSS agronomy, ANOVA agronomy, agricultural data analysis
Metatext
Statistical data analysis for FAZOS Osijek: SPSS, ANOVA, regression and experimental design.
