Abstract
A chi-squared test evaluates whether two or more categorical variables are significantly different (a categorical variable divides observations into mutually exclusive classes). A one-sample t-test evaluates whether the mean of a population has a value specified in a null hypothesis. A two-sample test evaluates whether the means of two populations are equal. ANOVA provides a statistical test of the difference between two or more means.
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Soloniuk, L.J. (2024). Statistics. In: Sinha, A.C., Pasca, I.F. (eds) Peripartum Care of the Pregnant Patient. Springer, Cham. https://doi.org/10.1007/978-3-031-62756-9_48
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