assignment 3

Was unable to publish it on post.it or through the way you showed, so I did it through r/pubs.

Simulasi ini menunjukkan bahwa lebar interval kepercayaan 95% dipengaruhi oleh ukuran sampel, variabilitas data, dan pengetahuan standar deviasi populasi. Semakin besar ukuran sampel, interval semakin sempit, sedangkan semakin besar variabilitas, interval semakin lebar. Selain itu, jika standar deviasi populasi tidak diketahui, interval cenderung lebih lebar dibandingkan jika diketahui.

Clustering K-Means, K-Median, sama DBSCAN

Outline of Proposed Presentation for Rome R User Group & IOM Staff Presentation Title: From Field to Forecast: Building a Reproducible Analytical Pipeline for IOM DTM Data in R This 45-minute presentation is structured to balance high-level humanitarian context with technical R implementation. It is designed to keep both “Domain Experts” and “R Developers” engaged by alternating between Why (the mission) and How (the code).

This paper explores different ways to generate random numbers and estimate integrals using computer simulation in R. We start by sampling from the Cauchy distribution and then use it as a tool to generate normally distributed numbers. Next, we work with a special version of the Gamma distribution that is restricted to values above 4, testing two different sampling strategies to see which one wastes fewer attempts. Finally, we calculate a specific integral using five different simulation approaches and compare how accurate and efficient each one is.