Normal Distribution Probability | Standard Normal Distribution | Normal Distribution and Z Scores
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Normal Distribution Probability | Standard Normal Distribution | Normal Distribution and Z Scores The normally distributed data can be easily tested for the validation of your design hypothesis using deductive statistics. the sample size is vital when the data is not normally distributed. This video shows how to calculate sample size in different scenarios, which is very important for any present-day scenario. This video discusses the normal distribution, probability, sample size, and bias theorem whose application is found everywhere in every field like technology business, agriculture marketing, corporate healthcare defense, and whatnot. A proper understanding of probability and statistics will help to clearly understand the normal distribution, and this is the reason why we study these concepts here. In this video, the Data Scientist mentor will take you through the demonstration of the various problems solved by the Bayes theorem since Bayes theorem is a tool that finds its application in various domains, including medical research, financial, real environmental condition, prediction, and analyzing business risk for any decision making problem, etc. If you feel the need to dig deeper and know more about it, you are on the right video that brings you all the information about Normal Probability. Agenda: • Foundation of Sampling Distribution • Foundation of probability and its types with examples • Bayes theorem with examples • Normal Distribution Key Topic: What is Sampling Distribution? The probability distribution of all the possible values a sample statistic can take is called the statistic's sampling distribution. The key word here is a sample statistic. 🔹Topics Covered: 00:00:00 - Introduction to Normal Distribution 00:01:57 - Foundations of Sampling Distribution 00:22:59 - Foundations of Probability, its types with examples 02:02:35 – Standard Normal Distribution 02:42:41 - Summary #normaldistribution #probability 🔹 Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://www.mygreatlearning.com/?ambassador_code=GLYT_GLYT_ANLTY_OTHFCLTY_090822_ENG&utm_source=GLYT&utm_campaign=GLYT_GLYT_ANLTY_OTHFCLTY_090822_ENG 🏁 Get your free certificate of completion for the Probability and Normal Distribution course, Register Now: https://www.mygreatlearning.com/academy/learn-for-free/courses/probability-and-normal-distribution?ambassador_code=GLYT_DES_ANLTY_OTHFCLTY_090822_ENG&utm_source=GLYT&utm_campaign=GLYT_DES_ANLTY_OTHFCLTY_090822_ENG 🔹 About Great Learning Academy: Visit Great Learning Academy to get access to 300+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development, and many more. These are supplemented with free projects, assignments, datasets, and quizzes. You can earn a certificate of completion at the end of the course for free. https://www.mygreatlearning.com/academy?ambassador_code=GLYT_GLYT_ANLTY_OTHFCLTY_090822_ENG&utm_source=GLYT&utm_campaign=GLYT_GLYT_ANLTY_OTHFCLTY_090822_ENG Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl 🔹 About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. 🔹 For more interesting tutorials, don't forget to subscribe to our channel: https://glacad.me/YTsubscribe 🔹 For more updates on courses and tips follow us on: -Telegram: https://t.me/GreatLearningAcademy -Facebook: https://www.facebook.com/GreatLearningOfficial/ -LinkedIn: https://www.linkedin.com/company/great-learning/ 🔹 Follow our Blog: https://glacad.me/GL_Blog
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