Borrar filtros
Borrar filtros

Normal Distribution for Global Warming Data

1 visualización (últimos 30 días)
Diana Albaba
Diana Albaba el 26 de Mzo. de 2020
Respondida: Jemima Pulipati el 12 de En. de 2021
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.
  1 comentario
John D'Errico
John D'Errico el 26 de Mzo. de 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.

Iniciar sesión para comentar.

Respuestas (1)

Jemima Pulipati
Jemima Pulipati el 12 de En. de 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.
Some of the answers from the community which might be of relevance to you:

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by