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Skewness - Right, Left & Symmetric Distribution - Mean, Median, & Mode With Boxplots - Statistics Video

This statistics video tutorial provides a basic introduction into skewness and the different shapes of distribution. It covers symmetric distribution and distributions that are skewed right and skewed left. This video discusses the relationship between the mean, median, and mode for these 3 types of distributions. It also mentions the modality - that is if a distribution is unimodal, bimodal, or multimodal. Finally, the video discusses the skewness of boxplots or box and whisker plots.

Statistics Formula Sheet:
https://bit.ly/47zjTVT

Introduction to Statistics:
https://www.youtube.com/watch?v=XZo4xyJXCak

Arithmetic, Geometric, & Harmonic Mean:
https://www.youtube.com/watch?v=6G6i8vSa8Zs

Simple Frequency Tables:
https://www.youtube.com/watch?v=lyRbCwDDnJo

Relative Frequency Distribution Table:
https://www.youtube.com/watch?v=gq3FPpm2yvA

Cumulative Relative Frequency Table:
https://www.youtube.com/watch?v=6hJGa4Zp62M

_________________________________
Dot Plots and Frequency Tables:
https://www.youtube.com/watch?v=Iu17mY1VfZU

Stem and Leaf Plots:
https://www.youtube.com/watch?v=MUCvUgGfzdo

Side By Side Stem and Leaf Plots:
https://www.youtube.com/watch?v=wkAjnGmRPVo

Histograms:
https://www.youtube.com/watch?v=AndS0RLdxtk

How To Make a Frequency Polygon:
https://www.youtube.com/watch?v=y7Wb9AjbRjo

__________________________________
Quartiles, Deciles, & Percentiles:
https://www.youtube.com/watch?v=40o82o3uNfk

Interquartile Range & Outliers:
https://www.youtube.com/watch?v=STSP8gTSdT8

Skewness & Symmetric Distribution:
https://www.youtube.com/watch?v=U0NZu6f5TMI

Sample Mean and Population Mean:
https://www.youtube.com/watch?v=cmtBUWCC-6A

Mean, Median, & Mode - Grouped Data:
https://www.youtube.com/watch?v=zjHfAhcU6kE

____________________________________
Final Exams and Video Playlists:
https://www.video-tutor.net/

About the Site 🌐

This site provides links to random videos hosted at YouTube, with the emphasis on random. πŸŽ₯

Origins of the Idea 🌱

The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠

Challenges Faced πŸ€”

Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.

Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. πŸ”

Creating Truly Random Links πŸ› οΈ

The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.

About YouTube πŸ“Ί

YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟

Content and Users 🎡

Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.

While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.

Monetization and Impact πŸ€‘

YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.

As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. πŸ“ˆ

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