Difference between revisions of "An initial path towards statistical analysis"

From Sustainability Methods
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=[[#Categorical and continuous data|Categorical and continuous data]] =
 
=[[#Categorical and continuous data|Categorical and continuous data]] =
 
Does your data consist of categorical and continuous data?[[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
Does your data consist of categorical and continuous data?[[Data_formats#Data_formats_in_statistics| (?)]]<br>
 +
==[[Simple Statistical Tests#one sample t-test|t-test]]<br>==
 
==[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br>==
 
==[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br>==
 
===[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>===
 
===[[Data_distribution#The_normal_distribution|Dependent variable normally distributed]]<br>===

Revision as of 22:44, 11 January 2021


Start here with your data


Univariate statistics

Do you want to test your variables for dependencies?

Multivariate statistics

Do you have several continuous variables without clear dependencies?

Categorical and continuous data

Does your data consist of categorical and continuous data? (?)

t-test

Analysis of Variance

Dependent variable normally distributed

INSERT TYPE II

Linear mixed effect model

Dependent variable not normally distributed

Type III Anova

Dependent variable is count data

Dependent variable is 0/1 or proportions

Random factors

Only continuous variables (?)

Only categorical variables (?)

Categorical and continuous variables


Only categorical variables

Chi-Square test

Only continuous variables

Non dependent relations? Correlations

Clear dependent relations Regression models
Dependent variable normally distributed
Linear Regression

Dependent variable not normally distributed

Generalised linear model

Dependent variable is count data

Dependent variable is 0/1 or proportions



Multivariate statistics



Resterampe

[[At least one continuous and one categorical variable| More than 2 groups Analysis of Variance
Dependent variable normally distributed
INSERT TYPE II
INSERT RANDOM FACTOR
INSERT LMM

Dependent variable not normally distributed

Type III Anova

Dependent variable is count data

Dependent variable is 0/1 or proportions

Random factors