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The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of how these distributions are created and how they should be interpreted. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Buying The StatQuest Illustrated Guide to Machine Learning!!! PDF - https://statquest.gumroad.com/l/wvtmc Paperback - https://www.amazon.com/dp/B09ZCKR4H6 Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...a cool StatQuest t-shirt or sweatshirt: https://shop.spreadshirt.com/statquest-with-josh-starmer/ ...buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer #statquest #statistics

Learn how to solve any Normal Probability Distribution problem. This tutorial first explains the concept behind the normal distribution, then it discusses how to find probabilities for this distribution, and finally it ends with a complete example to help solidify the concept. The normal distribution is one of the most popular probability distributions covered in Stat due to its numerous applications to the real world. This topic is also a major building block for more advanced ideas such as confidence intervals and hypothesis testing. For more help, visit: https://theacetutors.com For more videos/content, visit: https://theacetutors.com/blog Sign up for tutoring: https://theacetutors.com/register

We talk about distributions found in data. Specifically normal distributions.

Get a free 3 month license for all JetBrains developer tools (including PyCharm Professional) using code 3min_datascience: https://www.jetbrains.com/all/ To support more videos like this, please check out my O'Reilly books. Essential Math for Data Science https://amzn.to/3Vihfhw Getting Started with SQL https://amzn.to/3KBudSY Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial! https://oreillymedia.pxf.io/1rJ1P6 The normal distribution is the most famous and common distribution in science and mathematics. In a few minutes, we will deep dive into its PDF, CDF, and PPF variants. This video has been inspired by 3Blue1Brown, and special thanks to Grant Sanderson and the ManimCE community. Follow me on LinkedIn for posts and updates. Reach out to me for questions, I'm busy but I don't bite. https://www.linkedin.com/in/thomasnield/ Professional consulting, training, and advisory services on AI, data science, machine learning, automation, AI system safety, and software engineering. http://nieldconsultinggroup.com Music used Documentary by Coma-Media https://pixabay.com/music/ambient-documentary-11052/

See all my videos at http://www.zstatistics.com/ 0:00 Intro 0:49 Definition 4:41 Visualisation (PDF and CDF) 9:21 Example (with calculations) 17:05 Why is it called "Exponential"??

See all my videos at http://www.zstatistics.com/videos/ A simple and intuitive look at the Normal Distribution Intro 0:00 Definition 0:28 Examples 1:11 Central Limit Theorem 2:52 Standard Normal Distribution 5:22 Using distribution tables 6:12

Learning about Z-scores, Standardization, and the standard normal distribution will allow you to calculate the area under the normal curve, with the help of the Z-score table. Table of Contents 0:00 - Learning Objectives 0:15 - Standard Normal Distribution 0:58 - Z-Score Table 1:33 - Calculating the area to the right of a z-score 2:15 - Reverse Look-up 2:40 - Standardization 3:33 - Practice Question #1 4:28 - Practice Question #2 5:16 - Practice Question #3 6:39 - Connect with us If you found this video helpful and like what we do, you can directly support us on patreon to help us make more videos. You can also support us by subscribing, liking this video, sharing it with your friends, or even connecting with us on other social media platforms. https://www.patreon.com/simplelearningpro You can find practice questions and study guides on our website. http://www.simplelearningpro.com Want to connect with us? Instagram - http://www.instagram.com/simplelearningpro Facebook - http://www.facebook.com/simplelearningpro Twitter - http://www.twitter.com/simplelearningp Thank you for watching the video. Feel free to leave any comments below!

Learn about the normal distribution and how the value of the mean and standard deviation affect it, and learn about the 68-95-99.7 rule. Table of Contents 0:00 - Learning Objectives 0:20 - The difference between a Parameter and a Statistic 1:12 - The Normal Distribution Explained 2:28 - Effects of the Mean Mu on the Normal Curve 2:57 - Effects of the Standard Deviation Sigma on the Normal Curve 3:36 - Characteristic Overview of the Normal Distribution 4:27 - The 68-95-99.7 Rule 6:14 - Practice Question #1 7:22 - Practice Question #2 8:32 - Connect with us If you found this video helpful and like what we do, you can directly support us on patreon to help us make more videos. You can also support us by subscribing, liking this video, sharing it with your friends, or even connecting with us on other social media platforms. https://www.patreon.com/simplelearningpro You can find practice questions and study guides on our website. http://www.simplelearningpro.com Want to connect with us? Instagram - http://www.instagram.com/simplelearningpro Facebook - http://www.facebook.com/simplelearningpro Twitter - http://www.twitter.com/simplelearningp Thank you for watching the video. Feel free to leave any comments below!

What is log normal distribution? If you take a log of a distribution and the result is normal distribution then the original distribution is called log normal distribution. Log normal distribution is right skewed and there are many real life examples such as people's income, hospitalization days, ad budget for companies etc. In this quick video we will discuss this and plot log normal distribution for people's income dataset using seaborn library and pandas Code: https://github.com/codebasics/math-for-machine-learning/blob/main/5_log_normal_distribution/lognormal_dist.ipynb Check our Math and Statistics course for Data Science here : https://codebasics.io/courses/math-and-statistics-for-data-science Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. ⭐️ Timestamps ⭐️ 00:00 What is log normal distribution? 04:46 Code 🌎 Website: https://codebasics.io/ 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

http://www.zstatistics.com/videos/ 0:25 Quick rundown 2:15 Assumptions underlying the Poisson distribution 3:08 Probability Mass Function calculation 5:14 Cumulative Distribution Function calculation 6:29 Visualisation of the Poisson distribution 7:25 Practice QUESTION!

-- -- (Links on this page my give me a small commission from purchases made - thank you for the support!) Roadmap to Become a Data Scientist / Machine Learning Engineer in 2022: https://youtu.be/lHKlCqx94OY Roadmap to Become a Data Analyst in 2022: https://youtu.be/024KMhTKlVs Roadmap to Become a Data Engineer in 2022: https://youtu.be/ztGB-__Yg7w Here's my favourite resources: Best Courses for Analytics: --------------------------------------------------------------------------------------------------------- + IBM Data Science (Python): https://bit.ly/3Rn00ZA + Google Analytics (R): https://bit.ly/3cPikLQ + SQL Basics: https://bit.ly/3Bd9nFu Best Courses for Programming: --------------------------------------------------------------------------------------------------------- + Data Science in R: https://bit.ly/3RhvfFp + Python for Everybody: https://bit.ly/3ARQ1Ei + Data Structures & Algorithms: https://bit.ly/3CYR6wR Best Courses for Machine Learning: --------------------------------------------------------------------------------------------------------- + Math Prerequisites: https://bit.ly/3ASUtTi + Machine Learning: https://bit.ly/3d1QATT + Deep Learning: https://bit.ly/3KPfint + ML Ops: https://bit.ly/3AWRrxE Best Courses for Statistics: --------------------------------------------------------------------------------------------------------- + Introduction to Statistics: https://bit.ly/3QkEgvM + Statistics with Python: https://bit.ly/3BfwejF + Statistics with R: https://bit.ly/3QkicBJ Best Courses for Big Data: --------------------------------------------------------------------------------------------------------- + Google Cloud Data Engineering: https://bit.ly/3RjHJw6 + AWS Data Science: https://bit.ly/3TKnoBS + Big Data Specialization: https://bit.ly/3ANqSut More Courses: --------------------------------------------------------------------------------------------------------- + Tableau: https://bit.ly/3q966AN + Excel: https://bit.ly/3RBxind + Computer Vision: https://bit.ly/3esxVS5 + Natural Language Processing: https://bit.ly/3edXAgW + IBM Dev Ops: https://bit.ly/3RlVKt2 + IBM Full Stack Cloud: https://bit.ly/3x0pOm6 + Object Oriented Programming (Java): https://bit.ly/3Bfjn0K + TensorFlow Advanced Techniques: https://bit.ly/3BePQV2 + TensorFlow Data and Deployment: https://bit.ly/3BbC5Xb + Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj Become a Member of the Channel! https://bit.ly/3oOMrVH Follow me on LinkedIn! https://www.linkedin.com/in/greghogg/ Full Disclosure: Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this!

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See all my videos at http://www.zstatistics.com/videos/ 0:15 Introduction 1:30 Pre-requisites/assumptions 2:36 Calculating by hand 8:56 Calculating using Excel 12:05 Expected value and standard deviation EXAMPLE USED: Studies show colour blindness affects about 8% of men. A random sample of 10 men is taken. Find the probability that: (a) All 10 men are colour blind (b) No men are colour blind (c) Exactly 2 men are colour blind (d) At least 2 men are colour blind (e) The expected number of colour blind men in the sample (f) The standard deviation of the number of colour blind men in the sample.

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Brian Fallon stopped by the WRAT studios and hung out with Carl and Dave. While there he performed "Positive Charge" live on the air.

#physics #science #electrons #ElectricCharge What Makes Electrons Negative In Charge & a Proton Positive A Brief History Of Time: https://www.youtube.com/playlist?list=PLtBvTFL99YTYpam0PplqcIZJjplpuwpLc