Laporan ini disusun guna memenuhi tugas Mid-Term Examination (UTS) pada mata kuliah Pemrograman Sains Data I di Institut Teknologi Sains Bandung (ITSB), di bawah bimbingan dosen Bapak Bakti Siregar, M.Sc., CSD.

In data science workflows, automating decision-making processes and iterating through large datasets are foundational skills. This report demonstrates the use of conditional statements (`if-else`) and looping constructs (`for`, `while`) to manage employee data.

In the modern industrial landscape, data has emerged as one of the most valuable assets for businesses, governments, and researchers. It is often referred to as “the new electricity”; however, without programming proficiency and deep domain understanding, data remains merely static rows of numbers.

Pekan Analisis Statistika, let's we try :'D

Statistical inference is the process of drawing conclusions about a population from sample data, primarily through hypothesis testing involving the null hypothesis (H₀, assuming no effect or difference) and alternative hypothesis (H₁, indicating an effect or difference), while accounting for Type I (false positive, probability α like 0.05) and Type II (false negative, probability β) errors. Common methods include the t-test for comparing means with unknown population standard deviation or small samples, z-test for large samples or known standard deviation, and chi-square test for categorical data to assess goodness-of-fit or independence. Decisions rely on comparing the p-value (probability of observing data as extreme assuming H₀ true) to the significance level α: reject H₀ if p ≤ α (evidence for H₁), otherwise fail to reject, enabling evidence-based generalizations under uncertainty.

MUST BE CONFIDENT!!!!

mendedieididiidistributsisisiikan

GILAA dikit

Naik naik ke?

Central Tedency demi menganalisa mengandalkan data yang adaa

belajar demi sedikit, diharapkan semakin mengerti