SECI2143-03 KEBARANGKALIAN STATISTIK & ANALISIS DATA (PROBABILITY & STATISTICAL DATA ANALYSIS)

Malnutrition Across the Globe

This is for the eportfolio task for our Project 2 PSDA.

Introduction

Malnutrition is a condition that results from eating an uncontrolled and unhealthy diet in which one or more nutrients are either not enough or too much. Insufficient and too much nutrients can cause various health problems such as underweight and overweight. Malnutrition is an important determinant for a child health.

     An underweight and overweight child is more susceptible to infectious disease due to weak antibody system. From this statement, we can say that children specifically children under age 5 are the most vulnerable group to malnutrition.

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Objective:

- To investigate the average underweight and overweight for the under 5s population in world and test if they affect each other.

- To determine if an income classification in a country is one of the determinants of children’s malnourishment.

Conclusion

Based on the hypothesis, we fail to reject to null hypothesis. There is insufficient evidence to support the claim that the mean of underweighted under 5s population in SEA countries is more than the worldwide mean, 1240810.

     Next, from the analysis, it is found that there is a moderate positive relationship between the population of underweighted and overweighed under 5s population in the world, with the correlation coefficient of 0.5629981.

     The estimated regression model is then produced in which we obtain  = 1528664 – 448959x, and this regression model is helpful to predict the underweight population for children under 5s based on the income classification of a certain country.

     Lastly, I would like to thank our lecturer of section 03 for all the knowledge sharing in the class. I hope that the knowledge that I gain can help me to contribute to the society and the nation in the future.

Reflection

First of all, I would like to thank our lecturer, Dr Aryati Bakri for the knowledge sharing session for the semester. Doing the Project 2 has helped to enhance a lot of skills like analyzing, testing, interpreting and concluding information based on the dataset that I had chose from the Internet.

     I managed to improve my R programming skill, while helped me to revise about the lessons that I had learnt in the class. It also helped me to improve my understanding in the subject. I wish that the lesson that I had learnt in the class will help me to contribute to the society and the world to the future.