Final Exam Practice - Statistical Tests

These flashcards cover key statistical concepts and terminology based on statistical tests discussed in the lecture notes.

Paired T-Test

A statistical method used to determine if there is a significant difference between the means of two related groups.

Null Hypothesis (Ho)

The statement that there is no effect or no difference; used as a starting point for statistical testing.

Research Hypothesis (Hi)

The statement that indicates the presence of an effect or difference; the opposite of the null hypothesis.

p-value

A measure that helps determine the significance of results; indicates the probability that the observed data would occur if the null hypothesis were true.

Degrees of Freedom (df)

A parameter used in statistical tests that describes the number of values that are free to vary; important in determining the distribution of the test statistic.

Levene's Statistic

A statistical test for homogeneity of variances; used to assess whether two or more groups have equal variances.

Chi-Square Test for Association

A statistical test used to determine if there is a significant association between two categorical variables.

Multivariate Linear Regression

A statistical technique that models the relationship between multiple independent variables and a dependent variable.

ANOVA F-Statistic

A ratio used in the analysis of variance that compares the variance between group means to the variance within the groups, indicating if at least one group mean is different.