Understanding the Normal Distribution [Statistics Tutorial]
👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/3kJXbBQ
👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/2CvpSRK
Understanding the Normal Distribution is crucial as it is the most important and most widely used distribution in statistics. In this Statistics Tutorial, we are going to introduce one of the most commonly found continuous distributions – the normal distribution. For starters, we will define what types of events follow a Normal Distribution, and then we will examine some of its distinct characteristics.
Download the Standard Normal Distribution working file:
https://www.dropbox.com/sh/asstx9s351hiq6k/AABo49JFYFo5YXAkTWxXmK2Pa?dl=0
We define a Normal Distribution using a capital letter N followed by the mean and variance of the distribution. We read the following notation as “Variable “X” follows a Normal Distribution with mean “mu” and variance “sigma” squared”.
When dealing with actual data we would usually know the numerical values of mu and sigma squared.
The normal distribution frequently appears in nature, as well as in life, in various shapes of forms. For example, the size of a full-grown male lion follows a normal distribution. Many records suggest that the average lion weight between 150 and 250 kilograms, or 330 to 550 pounds. Of course, there exist specimen which fall outside of this range. Lions weighing less than 150, or more than 250 kilograms tend to be the exception rather than the rule.
Such individuals serve as outliers in our set and the more data we gather, the lower part of the data they represent!
► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1
► VISIT our website: https://bit.ly/365ds
🤝 Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/
365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
Check out our Data Science Career guides: https://www.youtube.com/playlist?list=PLaFfQroTgZnyQFq4nUfb-w2vEopN3ULMb
#statistics #tutorial #datascience
Видео Understanding the Normal Distribution [Statistics Tutorial] канала 365 Data Science
👉🏻 Sign up for Our Complete Data Science Training with 57% OFF: https://bit.ly/2CvpSRK
Understanding the Normal Distribution is crucial as it is the most important and most widely used distribution in statistics. In this Statistics Tutorial, we are going to introduce one of the most commonly found continuous distributions – the normal distribution. For starters, we will define what types of events follow a Normal Distribution, and then we will examine some of its distinct characteristics.
Download the Standard Normal Distribution working file:
https://www.dropbox.com/sh/asstx9s351hiq6k/AABo49JFYFo5YXAkTWxXmK2Pa?dl=0
We define a Normal Distribution using a capital letter N followed by the mean and variance of the distribution. We read the following notation as “Variable “X” follows a Normal Distribution with mean “mu” and variance “sigma” squared”.
When dealing with actual data we would usually know the numerical values of mu and sigma squared.
The normal distribution frequently appears in nature, as well as in life, in various shapes of forms. For example, the size of a full-grown male lion follows a normal distribution. Many records suggest that the average lion weight between 150 and 250 kilograms, or 330 to 550 pounds. Of course, there exist specimen which fall outside of this range. Lions weighing less than 150, or more than 250 kilograms tend to be the exception rather than the rule.
Such individuals serve as outliers in our set and the more data we gather, the lower part of the data they represent!
► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1
► VISIT our website: https://bit.ly/365ds
🤝 Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/
365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
Check out our Data Science Career guides: https://www.youtube.com/playlist?list=PLaFfQroTgZnyQFq4nUfb-w2vEopN3ULMb
#statistics #tutorial #datascience
Видео Understanding the Normal Distribution [Statistics Tutorial] канала 365 Data Science
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
The Normal Distribution and the 68-95-99.7 Rule (5.2)03 - The Normal Probability DistributionWhat is a Normal Distribution?Probability: Types of DistributionsStandard Normal DistributionNormality test [Simply Explained]Probability: Binomial DistributionNormal Distribution EXPLAINED with ExamplesThe Normal Distribution, Clearly Explained!!!An Introduction to the Normal DistributionData Science & Statistics Tutorial: The Poisson DistributionNORMAL DISTRIBUTION / GAUSSIAN DISTRIBUTION/ STANDARD DISTRIBUTION: COMMUNITY MEDICINE TUTORIALS.Understanding the normal distribution - statistics help #Statistics #ProbabilityNormal Distribution and Z Score | Math, Statistics for data science, machine learningStatistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and moreZ-Scores, Standardization, and the Standard Normal Distribution (5.3)Normal Distribution: Calculating Probabilities/Areas (z-table)What is Normal Distribution in Statistics ? How to solve Normal (Gaussian) distribution problems ?