Simulasi variabel random baik variabel diskrit maupun variabel kontinu, serta implementasi studi kasus menggunakan data simulasi dari macam-macam distribusi tersebut.

Advanced Data Visualization Overview

Pada praktikum ini dilakukan simulasi distribusi peluang diskrit dan kontinu menggunakan R. Distribusi Binomial digunakan untuk mensimulasikan jumlah pelanggan yang membeli produk, sedangkan distribusi Normal digunakan untuk mensimulasikan waktu pelayanan. Hasil simulasi menunjukkan bahwa nilai rata-rata dan peluang yang diperoleh mendekati nilai teoritis, sehingga dapat disimpulkan bahwa metode simulasi efektif dalam merepresentasikan model probabilitas.

Tugas Kelompok Analisis Multivaria PCA FA

This project presents a simulation study of business performance using probability distributions. The number of products sold per day is modeled using a Poisson distribution with an average of 100 units per day to represent count data. Based on this simulation, daily income is modeled using a Normal distribution with a mean of 500,000 rupiah and a standard deviation of 50,000 rupiah to represent continuous revenue variation. The simulation is conducted over 365 days to analyze average performance and estimate probabilities of extreme sales and income outcomes. This approach demonstrates the application of discrete and continuous random variables in real-world business modeling.

AS AY

This is the HTML submission for homework 3.