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Simplifying T-tests in Python for Scientists!
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📈 Hypothesis Testing with a T-Test in Python | SciPy Stats Tutorial
In this video, I’ll walk you through how to perform a t-test using Python and the SciPy stats library—step by step.
Using rich soil fertility data, we’ll apply a t-test to evaluate differences and draw conclusions from real-world data. This tutorial is inspired by concepts from the classic Fundamentals of Analytical Chemistry—a trusted source for building your statistical thinking.
⸻
🧪 What You’ll Learn:
• How to define null and alternative hypotheses
• How to calculate the t-statistic and p-value
• How to interpret the results and make decisions based on them
• All using clean, readable code in Python with Pandas and SciPy
⸻
This video is perfect for students, researchers, and anyone learning analytical chemistry or data science fundamentals.
🔔 Subscribe for more hands-on Python tutorials blending statistical methods with real-world datasets!
#analyticalchemistry #scipystats #scipy
In this video, I’ll walk you through how to perform a t-test using Python and the SciPy stats library—step by step.
Using rich soil fertility data, we’ll apply a t-test to evaluate differences and draw conclusions from real-world data. This tutorial is inspired by concepts from the classic Fundamentals of Analytical Chemistry—a trusted source for building your statistical thinking.
⸻
🧪 What You’ll Learn:
• How to define null and alternative hypotheses
• How to calculate the t-statistic and p-value
• How to interpret the results and make decisions based on them
• All using clean, readable code in Python with Pandas and SciPy
⸻
This video is perfect for students, researchers, and anyone learning analytical chemistry or data science fundamentals.
🔔 Subscribe for more hands-on Python tutorials blending statistical methods with real-world datasets!
#analyticalchemistry #scipystats #scipy
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