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.

This analysis applies multiple linear regression model selection techniques to the 2020 Behavioral Risk Factor Surveillance System (BRFSS) dataset (n = 5,000), predicting the number of physically unhealthy days in the past 30. Using nine candidate predictors, including mental health days, sleep hours, age, BMI, exercise, general health status, and income, the analysis evaluates model fit using R², Adjusted R², AIC, and BIC. It then walks through best subsets regression, automated selection methods (backward elimination, forward selection, and stepwise), and concludes with an associative model built around sleep hours as the exposure, applying the 10% change-in-estimate rule to systematically identify confounders and arrive at a valid adjusted estimate of the sleep–physical health association.

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.