Review for Exam 3: Psychological Statistics

These flashcards cover key terms and concepts related to Psychological Statistics, focusing on hypothesis testing, t-tests, and ANOVA, among others, to aid in exam preparation.

Hypothesis Testing

A method used to decide whether there is enough evidence to reject a null hypothesis.

t Statistic

A statistic used to determine if there is a significant difference between the means of two groups when the population variance is unknown.

Degrees of Freedom (df)

The number of independent values or quantities which can be assigned to a statistical distribution.

Null Hypothesis (H0)

The hypothesis that there is no effect or difference, and it is the assumption that a statistical test seeks to disprove.

Alternative Hypothesis (H1)

The hypothesis that there is a significant effect or difference between groups.

Effect Size

A quantitative measure of the magnitude of a phenomenon, indicating the strength of a relationship or the difference between groups.

Confidence Interval

A range of values, derived from a data set, that is likely to contain the value of an unknown population parameter.

Single Sample t-test

A statistical test used to determine whether the mean of a single sample differs from a known or hypothesized population mean.

Independent Measures t-test

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

Repeated Measures t-test

A statistical test used to compare means when the same subjects are measured under different conditions or at different times.

ANOVA (Analysis of Variance)

A statistical method used to compare means among three or more groups to detect any significant differences.