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Inferential Statistics - Coggle Diagram
Inferential Statistics
Spearman’s Rank Correlation
Uses data to explain the relationship between two different variables
Uses data to explain the relationship between two different variables
Type of data
Ranked variables: Data organized by its numerical value from smallest to largest
Measurement variables: Any type of numerical data
How to represent it: As a correlation graph or in charts
T test
It is an inferential statistic
It is to be able to know the difference between measurements
They are related by carterisitcas
the standard deviation in each group, and the number of data values in each group.
It is used to support hypothesis in statistics
Anova
Analyzes and determines the mean of the groups is different
It is used to infer the properties
Also used in feature selection processes
It serves to justify results
Chi square
It is used to verify and also to formulate independence.
It can be used in two and even more variables.
This can only be used for categorical varials
Works great for categorical or nominal variables
Kruskal-Walli
Determine the differences and can differentiate between three or groups.
They are significant and it is a difference that they do not meet to be an ANOVA
Kruskal-Wallis is a screening test
scores and ratio must be converted to ranges
Pearson’s Correlation
Measures the linear correlation of two variables
It is a bivariate correlation
It's a statistic