<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Measures of Center &amp; Variability on DATATWEETS</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/</link><description>Recent content in Measures of Center &amp; Variability 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/measures-of-center-and-variability/index.xml" rel="self" type="application/rss+xml"/><item><title>Lesson 1 - The Mean</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-1-the-mean/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-1-the-mean/</guid><description>Meet the most familiar statistic of all — the mean — its formula, how to compute it in pandas, why deviations from it always sum to zero, and how a whole-group mean is really a weighted blend of its subgroups.</description></item><item><title>Lesson 2 - The Weighted Mean and the Median</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-2-the-weighted-mean-and-the-median/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-2-the-weighted-mean-and-the-median/</guid><description>Combine subgroup averages correctly with the weighted mean, compute the median for odd and even samples, and use the gap between mean and median as a quick skew diagnostic.</description></item><item><title>Lesson 3 - The Mode</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-3-the-mode/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-3-the-mode/</guid><description>Meet the mode: the most common value in a column, the only average that works for nominal data, plus how to compute it with .mode() and value_counts() and how to choose between mean, median, and mode.</description></item><item><title>Lesson 4 - Measures of Variability</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-4-measures-of-variability/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-4-measures-of-variability/</guid><description>Learn why the center of a distribution is only half the story, then measure spread with the range, IQR, mean absolute deviation, variance, and standard deviation — including the population vs sample (n-1) distinction.</description></item><item><title>Lesson 5 - Z-scores</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-5-z-scores/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-5-z-scores/</guid><description>Learn the z-score — how many standard deviations a value sits from the mean — compute it in pandas, use it to flag unusual cars, compare mpg against weight, and test the empirical rule on real data.</description></item><item><title>Lesson 6 - Guided Project: Profiling Fuel Economy</title><link>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-6-guided-project-profiling-fuel-economy/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>https://datatweets.com/courses/statistics/measures-of-center-and-variability/lesson-6-guided-project-profiling-fuel-economy/</guid><description>The module capstone: play data analyst at a 1983 auto magazine, summarize fuel economy with center and spread, chart the year-by-year trend, compare regions of origin, and use z-scores to crown the standout cars.</description></item></channel></rss>