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Flow Chart - Coggle Diagram
Flow Chart
Pearson’s Correlation
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Assign a value between -1 and 1. Closer to 1 positive. Closer to -1 negative and 0 neutral correlation.
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The strength of a linear relationship (how close the relationship is to being a perfectly straight line) The direction of a linear relationship (increasing or decreasing)
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Kruskal-Walli
It can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable.
Kruskal-Wallis test is anomnibus test statistic which means it cannot tell you which groups of your independent variable are different from each other, it only tells you that at least two groups were different.
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T test
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One Sample: Group compared to a standard value
Two Sample: Groups from 2 populations
Paired test: Groups from only one population
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Chi square
The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.
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ANOVA
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Used when having a single independent variable and the goal is to investigate if variations of that factor have a measurable effect on a dependent variable.
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