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Normal Distribution for Global Warming Data

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I have global warming data over decades that I want to plot to visually assess if the data is normally distributed. What is the easiest way to do this?
I copied the data from an excel sheet to a matrix in MATLAB.
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John D'Errico
John D'Errico on 26 Mar 2020
The funny thing is, noisy data, even with a trend in it, can still appear to be normally distributed. And visual assessments can easily be distorted by personal biases, to appear as one wishes.
I would strongly recommend using a statistical assessment. Determine if a trend exists, and if the trend is statistically significant.

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Answers (1)

Jemima Pulipati
Jemima Pulipati on 12 Jan 2021
From my understanding you want to check if the global warming data is normally distributed or not.
The chi2gof(x) returns a test decision for the null hypothesis that the data in vector x comes from a normal distribution with a mean and variance estimated from x, using the chi-square goodness-of-fit test. The alternative hypothesis is that the data does not come from such a distribution. The result is 1 if the test rejects the null hypothesis at the 5% significance level, and 0 otherwise.
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