Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Normal Distribution, Z-Scores & Empirical Rule | Statistics Tutorial #3 | MarinStatsLectures

Normal Distribution, Z-Scores and Empirical Rule: What is the normal distribution and its properties in statistics? What are Z scores and empirical rule? and more with examples! 👉🏼 Normal Distributions with R Video: (https://goo.gl/5mwXj9) 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT ) ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Like! Either way We Thank You! ▶︎ In this statistics video tutorial we will learn the normal distribution definition, and the concept of standardizing and Z-score and using z table. Here we will also learn about the empirical rule or the (very handy) 68,95,99.7 rule or 1,2,3 standard deviation rule. ▶︎ The normal distribution is a very important probability distribution used in statistics, and it is important that you build a solid understanding of the concept and its properties. Standardizing and creating a z-score is simply a unit-conversion. ▶︎ We will work through some of the calculations for normal distribution and z scores, although we will focus on the concept of normal distribution and z-scores, not the calculations, as the calculations as simply mechanical, and can usually be done using software. ◼︎ Table of Content: 0:00:05 what is normal distribution 0:00:16 Understanding normal distribution with example 0:00:53 What are the properties of the normal distribution (mean, standard deviation) 0:01:18 what is the empirical rule: (very handy) 68,95,99.7 rule or 1,2,3 standard deviation rule 0:02:46 In normal distribution, if we know the truth for a population how likely are certain things to show up when we collect data (working through an example) 0:04:08 Introducing the concept of standardizing as a unit conversion and using Z table 0:06:17 Z table ►► Watch More: ► Statistics for Data Science (Complete Series): https://bit.ly/2SQOxDH ►Data Science with R(Complete Series): https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R Videos: https://bit.ly/2zBwjgL ►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Videos: https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some statistics and R programming language courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!