Describing Distributions: Center, Spread & Shape | Statistics Tutorial | MarinStatsLectures
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- Опубликовано: 21 авг 2024
- Describing Distributions: Center, Spread and Shape; Learn to describe the shape, center and spread of a distribution using descriptive words in statistics with examples.
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Before learning about different measures of center (such as mean, median,..) as well as measures of spread/variability (such as standard deviation, IQR,...) we want to learn about describing the shape, as well as the center/spread of a distribution using descriptive words.
Describing a distribution using numbers is good in that it is an objective measure, but these can also miss important features. Describing a distribution using qualitative words is good in that it can capture nuances, although it is not objecting. Using the two together can help us capture the best of both worlds. This introductory statistics video introduces terminology and descriptive words for describing the shape of a distribution.
►► Watch More:
► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using RStudio : bit.ly/2zBwjgL
►Hypothesis Testing Videos: bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : bit.ly/2z8fXg1
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This introductory statistics video introduces terminology and descriptive words for describing the shape, measure of center and measures of variability of a distribution of data using multiple examples. Before learning about different measures of center (e.g. mean, median) as well as measures of spread/variability (such as standard deviation, IQR, etc.) we want to learn about describing the shape, the center and spread of a distribution using descriptive words.
Describing a distribution using numbers is good in that it is an objective measure, but these can also miss important features. Describing a distribution using qualitative words is good in that it can capture nuances, although it is not objecting. Using the two together can help us capture the best of both worlds. If Like to support us you can Donate (bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Give us a Like 👍🏼 or write us a review! Either way We Thank You!
The fact that no one is talking about your ability to write backwards is pretty "skewed" up in my opinion. Bravo sir.
Literally. What sorcery is this????
You really know how to teach; The way you flow from one idea to another idea, it is amazing. I have watched for long hours without turning away. Thank you so much sir,
Thanks, I appreciate you saying that 😀
Before watching your videos I've faced difficulty in understanding some concepts. But after watching your videos ,those concepts became very easy. Thank you sir
Keep making videos on statistics.. dedicate this channel to statistics.. we are loving it.. and please make a play list topic wise so we can start from basic and go to advance. it is very difficult to randomly watch videos it gives no information only confuse us and we stop watching more videos.
Hello there! I am not sure if you have browsed our youtube channel but we have organized the videos into various playlists; you can also see some of the playlists in the about section of each of the videos (you have to scroll to the end); here are some of them that you might find useful.
► Statistics Course for Data Science bit.ly/2SQOxDH
►R Course for Beginners: bit.ly/1A1Pixc
►Getting Started with R using R Studio (Series 1): bit.ly/2PkTneg
►Graphs and Descriptive Statistics in R using R Studio (Series 2): bit.ly/2PkTneg
►Probability distributions in R using R Studio (Series 3): bit.ly/2AT3wpI
►Bivariate analysis in R using R Studio (Series 4): bit.ly/2SXvcRi
►Linear Regression in R using R Studio (Series 5): bit.ly/1iytAtm
►ANOVA Statistics and ANOVA with R using RStudio : bit.ly/2zBwjgL
►Hypothesis Testing Videos: bit.ly/2Ff3J9e
►Linear Regression Statistics and Linear Regression with R : bit.ly/2z8fXg1
@@marinstatlectures Thank you so much for the efforts. Statistics is future keep making videos on statistics.. A suggestion for you if you do not mind look at Brandonfortz video how easily he explain concepts and people from all walk of life understand it.
hilarious arm movement in the transition; 10/10
This is by far the best statistics class!
thanks! i agree ;)
Love it!!! Your kid voice is so funny hahaha
Bravo! Another great one!!!
Thanks Leo :)
Una vez más, qué buen video. Saludos Mike
Thank you sir, you are fantastic. your contents are very intuitive thank you again!
Well explained!!
7:47 "My dad is a statistics ninja" 😄😄😄
Great info ty now I can finish my Khan Academy
Thank you
Good effort
Quick question professor...when you meant class grades are neagtively skewed,you meant it in the grade school or is generalized across all the classes irrespective of the course and also is difficulty of the course factored in?
Is there a textbook that I could purchase that would help me in your course here? Thanks
How do we decide the width of boxplots?