Free Webinar
The Increasing Cost of a Healthy Diet
An Analysis on Real Data with ANOVA
17/6/2026 at 2.30 PM
Is it true that eating healthy is becoming more expensive year after year?
For European countries the answer is yes. And the same is true for many African countries.
This is a global issue because it brings together climate change, economic dependency, global inflation, access to resources, inequality, geopolitical stability, and public health.
That is why it concerns all of us.
Understanding whether these changes are statistically significant means understanding whether they require concrete action.
✅ Together with our experts, in the webinar on June 17th we will explore how the ANOVA test can transform observed differences into statistically validated evidence.
AGENDA
📍 Introduction to dataset
📍 How to explore data (Tabs and Graphs)
📍 How to Measure Change Over Time (ANOVA)
📍 One-way ANOVA
📍 Practical example with Statistics for Data Analysis
📍 Q&A
This webinar is perfect for you if:
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You want confidence that your statistical analyses are robust and able to withstand real-world complexity.
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You want to understand how to transform observed trends into statistically validated evidence, starting from a real dataset.
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You work in environmental, socioeconomic, or healthcare research, or within governmental and international organizations, and you know how important it is to interpret data correctly in order to support better decisions.
Why is understanding ANOVA essential in Statistics for Data Analysis?
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🔴 At first glance, charts may seem self-explanatory.
But in socioeconomic research, public health, and policy-oriented analysis, observing a trend is not enough: evidence is required.
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⚠️ In research and international cooperation projects, the real question is often not:
“Do I see a difference?” but: “Can I prove that this difference is real?”. A question that impacts decisions, knowledge, and human lives.
The benefits of engaging with experts
Together, we will explore how to:
✅ How to analyze temporal differences in socioeconomic data
✅ how to use ANOVA to validate observed changes
✅ why statistical significance is fundamental — not only in food security research, but across all analytical domains.
BONUS: you'll have the possibility to receive specific answers from experts with in-depth knowledge of Statistics for Data Analysis.
Register for the webinar and improve your analyses
Complete the form to reserve your place.