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]] [[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
[[#Categorical and continuous data|Categorical and continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
[[#Only continuous data|Only continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
[[#Only continuous data|Only continuous data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
+
[[#Only categorical data|Only categorical data]] [[Data_formats#Data_formats_in_statistics| (?)]]<br>
 
<div id="Categorical and continuous data">Categorical and continuous data</div>
 
<div id="Categorical and continuous data">Categorical and continuous data</div>
  
[[At least one continuous variable|
+
[[At least one continuous and one categorical variable|
 
       More than 2 groups
 
       More than 2 groups
 
[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br>
 
[[Experiments#Analysis_of_Variance| Analysis of Variance]]<br>
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Only categorical variables
+
<div id="Only categorical data">Only categorical data</div>
  
 
   Chi-Square test  
 
   Chi-Square test  

Revision as of 21:30, 11 January 2021


Start here with your data

Do you have several continuous variables without clear dependencies?
Yes-> Multivariate statistics
No-> Univariate statistics


Univariate statistics

Categorical and continuous data (?)
Only continuous data (?)
Only categorical data (?)

Categorical and continuous data

[[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 factorRandom factors


Only categorical data
 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
 GLM 
Dependent variable is count data
  Poisson GLM 
 Dependent variable is 0/1 or proportions
 Binomial GLM 











Multivariate statistics