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Correlation
How does x correlate with y not causative
Deviation
Away from a mean or bench mark
Ranking
Relationships between different relation
What countries do the most
Distribution
Univarient
Age group amount a population
Composition
Pie graphs
% and proportions
Change
Time as x axis changes through time
Group
Phylogenetic trees
Spatial
Data across space
Summary
Descriptive quantification of the sample
Inferential
Using characteristics of the sample to infer something about the population
Central tendency
Mean median mode
Dispersion
Variance standard deviation
Variance
How far individual data points from the average
Standard deviation squared
Standard deviation
Square root of variance
Standard error
How accurate sample mean estimates population mean
P-value
Probability of seeing an effect at least as strong as what is observed in the data assuming the null hypothesis is true
Type 1 error
Reject to the null when results are truly due to random chance
What to do if p-value is less than 0.05
You would reject the null hypothesis