Hypothesis Testing Explained: Step-by-Step Guide for Data Analysts | P-value, Errors & Examples

Описание: Welcome back to Shital’s Data Desk — your go-to space for turning complex data concepts into clear, real-world insights! 📊

Have you ever made a business or research decision based on a gut feeling — and wished you had data to back it up?
That’s exactly where Hypothesis Testing comes in.

In this video, you’ll learn:
✅ What a hypothesis really means in statistics
✅ Testing process every analyst follows
✅ A real-world e-commerce example
✅ Type I & Type II errors (false alarm vs missed discovery)
✅ How to interpret p-values and significance levels
✅ How to choose the right statistical test for your data
✅ Common mistakes analysts should avoid

By the end, you’ll understand how to move from assumptions to evidence — and make confident, data-driven decisions.

🎯 Coming Next:
We’ve learned how to test ideas with hypothesis testing — but what if you want to measure how strongly two things are related?
Stay tuned for the next episode: “Correlation Analysis — Measuring Relationships in Data.”

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