4. Data Analysis Project:

Select one of the Sustainable Development Goals (SDGs) that interests you (e.g., Zero Hunger, Quality Education, Clean Water and Sanitation). Using real-world data, design a data analysis project to investigate the current status and challenges associated with achieving the goal.

a. Data Collection:
- Identify relevant datasets from reliable sources such as the United Nations, World Bank, or government agencies.
- Collect data on key indicators and metrics related to your chosen SDG, such as hunger rates, literacy levels, or access to clean water.

b. Data Analysis:
- Apply mathematical and statistical techniques to analyze the collected data.
- Calculate measures of central tendency (mean, median, mode) and variability (range, standard deviation) to describe the data distribution.
- Create graphical representations (e.g., histograms, line graphs, pie charts) to visualize trends and patterns in the data.

c. Interpretation:
- Interpret your data analysis findings and identify insights related to the current status and challenges of achieving the selected SDG.
- Consider factors contributing to disparities or inequalities in access to resources or services.
- Explore potential correlations or relationships between different variables.

d. Reflection:
- Reflect on your experience conducting the data analysis project.
- Consider the role of mathematics in understanding and addressing global challenges related to sustainable development.
- Discuss how data handling skills can contribute to advancing progress towards the SDGs and promoting positive social change.