Independent Samples T-Tests and Hypothesis Testing

These flashcards cover key concepts related to independent samples t-tests and the steps involved in hypothesis testing.

Independent Samples T-Test

A statistical method used to compare the means of two independent groups.

Pooled Variance

A weighted average of the variances from two samples, used to improve population SD estimates.

Homogeneity of Variance (HOV)

The assumption that variances in different groups are equal, important for t-tests.

Negative T-Values

When the t-obtained value is negative, requiring a corresponding negative t-critical value.

Hypothesis Testing Steps

Steps including forming hypotheses, determining alpha, calculating t-crit, and making H0 decisions.

Degrees of Freedom (DF)

A parameter used in statistical tests, calculated for each group and combined.

Effect Size

A quantitative measure of the magnitude of the experimental effect, often computed after a t-test.

Pooled Standard Deviation (Sw)

The square root of the pooled variance, used in effect size calculations.