<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Statistics Fundamentals on DATATWEETS</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/</link><description>Recent content in Statistics Fundamentals on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Datatweets</copyright><lastBuildDate>Sat, 27 Jun 2026 09:00:00 +0200</lastBuildDate><atom:link href="https://datatweets.com/courses/statistics/statistics-fundamentals/index.xml" rel="self" type="application/rss+xml"/><item><title>Lesson 1 - Populations and Samples</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-1-populations-and-samples/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-1-populations-and-samples/</guid><description>Meet the most important distinction in statistics — population vs sample — and learn simple random, stratified, cluster, and systematic sampling, plus what sampling error means.</description></item><item><title>Lesson 2 - Variables and Measurement Scales</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-2-variables-and-measurement-scales/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-2-variables-and-measurement-scales/</guid><description>Sort variables into quantitative vs qualitative and discrete vs continuous, then meet the four measurement scales — nominal, ordinal, interval, ratio — and see why the scale decides which statistics are valid.</description></item><item><title>Lesson 3 - Frequency Distributions</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-3-frequency-distributions/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-3-frequency-distributions/</guid><description>Learn to summarize a variable with frequency tables, relative and cumulative frequencies, grouped (binned) distributions of continuous data, and quartiles via quantile() and describe().</description></item><item><title>Lesson 4 - Visualizing Distributions</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-4-visualizing-distributions/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-4-visualizing-distributions/</guid><description>Use bar charts for categories and histograms for continuous data, see how bin width changes a histogram, and read shape — symmetry, skew, modality, and outliers — back into the mean and median.</description></item><item><title>Lesson 5 - Comparing Distributions</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-5-comparing-distributions/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-5-comparing-distributions/</guid><description>Learn why raw counts mislead when group sizes differ, and how relative frequency, frequency polygons, and boxplots let you compare distributions across groups fairly.</description></item><item><title>Lesson 6 - Guided Project: Telling the Species Apart</title><link>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-6-guided-project-separating-penguin-species/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/statistics-fundamentals/lesson-6-guided-project-separating-penguin-species/</guid><description>The module capstone: with the species labels hidden, summarize and visualize penguin measurements, build a rule-of-thumb classifier from the distributions, and measure how often it is right.</description></item></channel></rss>