Hypothesis Testing in Data Science | Null vs Alternative Hypothesis | upGrad Learning

Learn Hypothesis Testing in Statistics with simple real-world examples explained in Tamil. In this video, you’ll understand what Hypothesis Testing is, why it is important in Data Science, and how Null Hypothesis (H₀) and Alternative Hypothesis (H₁) work in statistical analysis. This Statistics for Data Science tutorial covers the basics of Hypothesis Testing, statistical decision-making, business assumptions, probability concepts, and real-world applications in Machine Learning, Healthcare, Marketing, and Website Analytics. You will also get an introduction to important statistical tests like Z-Test, T-Test, and Chi-Square Test. If you are preparing for Data Science interviews, learning Statistics for Machine Learning, or starting your Data Analytics journey, this Hypothesis Testing tutorial for beginners will help you build a strong foundation in statistical analysis and data-driven decision making. 🔗 Prefer learning offline? Explore upGrad centers in your city: https://rebrand.ly/frj1khr Following are the concepts covered in this video: 00:00 - Introduction to Hypothesis Testing 00:22 - Why Statistical Validation is Important 00:45 - What is a Hypothesis? 01:10 - Importance of Understanding Hypothesis in Statistics 01:33 - Validating Assumptions Using Data 02:05 - Website Sales Increase Example 02:28 - Statistical Verification of Sales Growth 02:57 - Null Hypothesis vs Alternative Hypothesis 03:28 - Understanding H₀ and H₁ 03:54 - Difference Between Null & Alternative Hypothesis 04:20 - Medicine & Blood Pressure Example 04:54 - Real-World Data Variations 05:21 - Medical Hypothesis Testing Example 05:52 - Steps in Hypothesis Testing Process 06:19 - Statistical Tests: Z-Test, T-Test, Chi-Square 06:45 - Why Hypothesis Testing is Required 07:17 - Real-World Applications of Hypothesis Testing 07:43 - Hypothesis Testing in Machine Learning 08:07 - Using Statistical Tests for Decision Making 08:40 - Hypothesis Testing for Business Validation 09:11 - Recap: H₀ and H₁ Explained 09:44 - Probability & Uncertainty in Hypothesis Testing #hypothesistesting #statistics #datascience #machinelearning #statisticalanalysis #nullhypothesis #AlternativeHypothesis #ztest #ttest #chisquaretest #dataanalytics #statisticsfordatascience #upgradlearning