Step-by-Step Hypothesis Testing in Python | t-Test Explained
Автор: Tech Everywhere
Загружено: 2025-09-11
Просмотров: 3
In this video, you’ll learn the fundamentals of hypothesis testing, an essential skill for data analysis and experimentation. We’ll use Python and the SciPy library to perform statistical tests and interpret the results.
💡 What You’ll Learn:
What hypothesis testing is and why it’s important
Null vs alternative hypotheses explained
Choosing a significance level (Alpha)
Running a Student’s t-test with scipy.stats.ttest_ind()
Interpreting p-values and rejecting/accepting hypotheses
Practical example with early vs late finishers’ grades
Common pitfalls like multiple comparisons
Why p-values aren’t enough & alternatives like confidence intervals and Bayesian methods
By the end, you’ll be able to apply basic statistical tests in Python to compare groups and draw meaningful insights.
#Python #Statistics #HypothesisTesting #tTest #SciPy #DataScience #LearnPython #DataAnalysis #PythonForDataScience #MachineLearning
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