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Not all data points are the same. They have different properties that let us do different types of analysis. What data looks like and how precisely we take measurements can impact our approach. How do we know what’s what? This episode walks you through various types of data, one step at a time.
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Chapters:
0:00 – Introduction
1:29 – Qualitative vs. Quantitative Data
3:23 – Discrete vs. Continuous Data
5:15 – Four Levels of Measurement
10:14 – Conclusion
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#StudyHall #Statistics #RealWorld
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SOURCES:
https://www.adfg.alaska.gov/index.cfm?adfg=polarbear.main
https://www.oceanactionhub.org/can-polar-bears-live-in-heat
Statistics: Unlocking the Power of Data by Robin H. Lock, Patti Frazer Lock, Kari Lock Morgan, Eric F. Lock, and Dennis F. Lock (First Edition)
https://academic.oup.com/book/27507/chapter/197451700
Statistics by David Freedman, Robert Pisani, and Roger Purves (Third Edition)
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https://www.e-education.psu.edu/natureofgeoinfo/c3_p11.html
https://www.princetonreview.com/college-advice/good-sat-scores
Introductory Statistics with Randomization and Simulation by David M Diez, Christopher D Barr, and Mine Cetinkaya-Rundel (First Edition
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https://www.nwf.org/Educational-Resources/Wildlife-Guide/Mammals/Polar-Bear
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https://www.indeed.com/career-advice/career-development/what-is-discrete-data
https://www.adfg.alaska.gov/index.cfm?adfg=polarbear.main
https://www.oceanactionhub.org/can-polar-bears-live-in-heat