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Whether it’s looking at possible treatments for a disease, or just your laundry habits with or without a little treat as an incentive, comparing related groups is a key part of statistics. It’s the magnifying glass that helps you really pin down dependent relationships and whether you’ve observed a statistical triumph — or just a whimsical coincidence.
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Chapters:
0:00 – Introduction
0:50 – When You Need Paired T-Tests
3:06 – Paired T-Test Core Concepts
7:38 – Effect Size
9:45 – Conclusion
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#StudyHall #Statistics #RealWorld
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SOURCES:
https://www.openintro.org/go/?id=os4_for_screen_readers&referrer=/book/os/index.php
https://www.heart.org/en/health-topics/high-blood-pressure/understanding-blood-pressure-readings
https://openstax.org/books/introductory-business-statistics-2e/pages/10-2-cohens-standards-for-small-medium-and-large-effect-sizes
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