<p>Are there graphs with the median temperature development in the 20th century and if not, is there readily accessible data that can be used to calculate it?</p>

<p>Median is statistically more stable, at the same time I'd be curious to plot the variance as well. My suspicion is the median rises less steep than the average but at the same time the variance (or for that matter min/max) changes significantly as well.</p>

CC BY-SA 4.0
2020-01-20T18:06:20.543Z
https://www.purplemath.com/modules/meanmode.htm
trond hansen
CC BY-SA 4.0
2020-01-21T09:10:01.907Z
The median is robust and resistant, thus useful when data are not normal or when there are outliers. The spread affects median and mean identically as long as the distribution remains normal and the data clean. Do you have any evidence either of those assumptions do not hold for your input data?
gerrit
CC BY-SA 4.0
2020-01-21T13:38:36.533Z
I was just curious about using it since when doing statistics I (not a pro) usually saw differences. Maybe that's an interesting one to see "global weirding" @BarryCarter Temperature is capped from below, so it's perhaps the truncated normal distribution: https://en.wikipedia.org/wiki/Truncated_normal_distribution
Philip
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2020-01-21T13:52:36.833Z
@BarryCarter Yes definitely, I'd like to use any existing method to weigh the input values
Philip
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2020-01-21T15:21:47.373Z
@BarryCarter Cool thanks! That's certainly enough to get started
Philip
<climate-change><global-weirding>
Median earth temperature development in 20th century
Philip
# Median earth temperature development in 20th century

(Asked by: username_0 on 2020-01-20)

Are there graphs with the median temperature development in the 20th century and if not, is there readily accessible data that can be used to calculate it?

Median is statistically more stable, at the same time I'd be curious to plot the variance as well. My suspicion is the median rises less steep than the average but at the same time the variance (or for that matter min/max) changes significantly as well.

**Tags:** climate-change, global-weirding

> **Comments:**
> **username_1**: https://www.purplemath.com/modules/meanmode.htm  
> **username_2**: The median is robust and resistant, thus useful when data are not normal or when there are outliers. The spread affects median and mean identically as long as the distribution remains normal and the data clean. Do you have any evidence either of those assumptions do not hold for your input data?  
> **username_0**: I was just curious about using it since when doing statistics I (not a pro) usually saw differences. Maybe that's an interesting one to see "global weirding" @BarryCarter Temperature is capped from below, so it's perhaps the truncated normal distribution: https://en.wikipedia.org/wiki/Truncated_normal_distribution  
> **username_0**: @BarryCarter Yes definitely, I'd like to use any existing method to weigh the input values  
> **username_0**: @BarryCarter Cool thanks! That's certainly enough to get started  

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