Tests Flashcards
Category of statistical tests where data must be normally distributed, interval or ratio data, and independent. Need sample size >30.
Parametric tests
Category of statistical tests where there are no assumptions of normal distribution. Can be used with a small sample size, and with nominal or ordinal data.
Nonparametric tests
Parametric test that can be used to example the relationship between variables
Pearson’s Correlation Coefficient (r)
Three types of regression analysis
- Linear regression
- Multiple regression
- Logistic regression
Regression analysis that examines between a single independent variable and a single interval- or ratio-level variable
Linear regression
Regression analysis that makes a prediction about how two or more independent variables affects the dependent variable
Multiple regression
Regression analysis that is used when a dependent variable is categorical. Generates an Odds Ratio (OR)
Logistic regression
Parametric test used to compare the mean of two different groups
Independent samples t-test
Parametric test used to compare the mean within the same group (ie. before and after an intervention)
Paired t-test
A non-parametric test used to compare medians between two independent groups. It assesses whether the distributions of the two groups are statistically different.
Mann-Whitney U-Test
A non-parametric test used to compare medians within paired or related samples. It evaluates whether there’s a significant difference between two paired observations or measurements.
Wilcoxon Ranked-Sign Test
A statistical test used to determine if there’s a significant association between categorical variables in a contingency table. It assesses whether the observed frequencies differ significantly from the expected frequencies under the null hypothesis of no association.
Chi-Square Test
A parametric statistical test used to compare means among three or more independent groups. It assesses whether there is a statistically significant difference in means across the groups.
ANOVA (Analysis of Variance)
A statistical technique that extends ANOVA by incorporating one or more continuous covariates (variables that are controlled for or adjusted) into the analysis.
ANCOVA
A non-parametric statistical test used to compare medians among three or more independent groups. It determines whether there are significant differences in medians across these groups, making it a non-parametric alternative to one-way ANOVA.
Kruskal-Wallis
