Data Science Lecture 16 | Hypothesis Testing Statistical Tools | Z-Test, Z-Statistic & Z-Critical
Автор: Tech Accord
Загружено: 2026-01-25
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Описание:
In this lecture of our Data Science with R series, we dive deep into Hypothesis Testing Statistical Tools with a special focus on the Z-Test.
You will learn:
✔️ Concept of Hypothesis Testing
✔️ Null vs Alternative Hypothesis
✔️ Z-Test fundamentals
✔️ Z-Statistic calculation
✔️ Z-Critical value interpretation
✔️ Decision Rule (Reject or Fail to Reject H₀)
✔️ Practical examples using datasets
✔️ When to use Z-Test in real-world data science problems
This lecture is perfect for Data Science, Statistics, and Machine Learning students who want strong foundations in inferential statistics.
📊 Includes step-by-step explanation + formulas + practical understanding for exams and projects.
Stay tuned for upcoming lectures on t-test, chi-square test, and ANOVA.
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