Variables can be Categorical

Numeric

H1 is hypothesis

H0 is null hypothesis

Probability of relationship testing- p value.

Alpha valiue is cut off pt to reject the null. if p is less than alpha, we reject the null

Chi-squared test (x^2) determines if there is significant difference between expected and observed frequencies in one or more categories

looks at how likely the observed frequencies would be if null hypothesis is true

if more than two categories in one of the variables, do ANOVA instead of t test

correlation test- get correlation coefficient (between-1 and 1) and p value

	Erstellt von Lindsay Dade vor etwa 4 Jahre

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