Data Science Expert Reveals Top Hypothesis Testing Techniques | One sample Z test

Pre-work: Hypothesis Testing - https://youtu.be/d0eVIUyt_Uc Normal Distribution - https://youtu.be/lehhCOTeh5A Complete Hypothesis Testing Playlist - https://tinyurl.com/2bea2phz The Z-test, a powerful statistical tool used to make inferences about population means. In this video, we will dive into the concepts of one-tailed and two-tailed tests, explore the assumptions behind the Z-test, and provide visual demonstrations along with practical examples using both MS Excel and Python. 📊 Understand One-Tailed and Two-Tailed Tests: Learn the difference between one-tailed and two-tailed tests, and how they are utilized in hypothesis testing. Discover how one-tailed tests focus on detecting differences in only one direction, while two-tailed tests assess differences in both directions. Gain insights into when and why each type of test is appropriate for specific research questions and hypotheses. 🔍 Assumptions Behind the Z-Test: Delve into the underlying assumptions of the Z-test, which are crucial for accurate and reliable results. Explore assumptions related to the population being normally distributed, a known population standard deviation (or sufficiently large sample size for an estimated standard deviation), and independence of observations. Understand the importance of these assumptions and how to assess their validity in real-world scenarios. 📈 Solved Examples in Visual Form, Excel, and Python: Visualize step-by-step examples of how to perform a Z-test, covering both the critical value method and the p-value approach. Follow along as we demonstrate the calculations visually and then implement them in Excel and Python, providing you with hands-on experience. This visual representation will enhance your understanding and reinforce the concepts of the Z-test. 💻 Excel and Python Implementation: Learn how to conduct Z-tests using Excel, a widely accessible and user-friendly tool for statistical analysis. We will walk you through the process of entering data, applying the appropriate formulas, and interpreting the results. Additionally, explore the implementation of Z-tests in Python, a versatile programming language commonly used in data analysis, utilizing relevant libraries and functions. 🔔 Don't forget to subscribe to our channel for more informative videos on statistics, Six Sigma and Data Science. #ZTest #HypothesisTesting #StatisticsTutorial #Excel #Python