Univariate Statistics for Data Analysts — Confidence Intervals explained

Author(s): Carla Martins

Originally published on Towards AI.

With examples

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All data analysts and data scientists, before any experience with the most advanced techniques of artificial intelligence, must master basic concepts of calculus, algebra, discrete mathematics, functional programming, and statistics. This article is a revision in univariate statistics, reviewing the concepts associated with statistical inference.

Statistical Inference

Statistical inference aims to estimate hypotheses about the characteristics of the population using a significant sample. Thus, the population is defined as the set that contains all individuals, and the sample is a set of parts of the population.

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Published via Towards AI