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        <description>Ready to truly understand Probability? You might have heard that mathematics is based on Set Theory. That's because pretty much any mathematical object can be represented as a set -- including random events. Measuring a set = measuring it's volume. 📜 References Videos in the Intro: https://www.magnific.com/free-video/hurricane-from-space_3730765 https://www.magnific.com/de/gratis-video/nacht-aeransicht-komplexen-autobahnkreuzung_3696059 https://www.magnific.com/free-video/stock-market-data-display_3544805 https://pixabay.com/videos/robot-human-office-future-rubber-88219/ https://pixabay.com/videos/circuit-chip-motherboard-processor-311617/ https://www.magnific.com/free-video/woman-choosing-what-eat_3255142 ❤️ Credits Music: Jon Björk - From the Dust LEMMiNO - Cipher: https://www.youtube.com/watch?v=b0q5PR1xpA0 (CC BY-SA 4.0) 🎬 Making-of I code the Animations in Python, especially by using this amazing library: https://www.manim.community/ (initially developed by https://youtube.com/c/3blue1brown) You can find my code here: https://github.com/snsus/youtube https://gitlab.com/snsus-code/youtube 🫂 Social Mastodon: https://mastodon.social/@snsus Bluesky: https://bsky.app/profile/snsus.bsky.social Instagram: https://instagram.com/snsus.qed ☕ You would support me? https://ko-fi.com/snsus 00:00 Probability 00:26 Randomness 02:02 Outcomes 03:36 Events 07:07 Measure Theory 12:35  Distribution 14:29 Discrete Case 16:57  Continous Case 22:28 How to model #science #math #education #stem #learning #probability #random #randomness #outcome #event #measure #measuretheory #distribution #discrete #continuous #probabilitytheory</description>
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