07b Data Analytics: Hypothesis Testing
Data Analytics and Geostatistics Undergraduate Course, Professor Michael J. Pyrcz
Lecture Summary:
Lecture on hypothesis testing, from basic definitions to calculating the significance in the observed difference in means, proportions and entire histograms. Understanding the significance of results is critical in data analytics and geostatistics, e.g., have we encountered a new population that we should model separately?
Free, Online Course e-book Chapter:
Hypothesis Testing - https://geostatsguy.github.io/Geostat...
Theory and well-documented workflows linked to the lectures and interactive Python dashboards.
Course Summary:
Data Analytics and Geostatistics is an undergraduate course that I teach at The University of Texas at Austin. We build up fundamental spatial, subsurface, geoscience and engineering modeling, from probability, statistics, heterogeneity measures, spatial continuity models, spatial estimation, spatial simulation, model checking, decision making, and machine learning basics. I provide accessible content to help you face the digital revolution!
My Shared Educational Content:
YouTube: / @geostatsguylectures
GitHub: https://github.com/GeostatsGuy
Course e-book: https://geostatsguy.github.io/Geostat...
I share all of my university educational content to support students and working professionals interested to learn data analytics, geostatistics, and machine learning.
More About the Author:
https://michaelpyrcz.com
I hope that you find my educational course content helpful on your data science journey,
Professor Michael J. Pyrcz
Cockrell School of Engineering
Jackson School of Geosciences
The University of Texas at Austin
#dataanalytics #datascience #geostatistics #machinelearning
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