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This set of flashcards covers the fundamental concepts and definitions from the lecture notes for PSY 3307 related to statistics, including types of data, statistical tests, hypotheses, and important measurements.
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What is statistics?
Tools for organizing, summarizing, analyzing, and interpreting data.
Population
The entire group of interest.
Sample
A smaller group taken from the population.
Descriptive Statistics
Statistics that describe data from a sample.
Inferential Statistics
Statistics that generalize from a sample to a population.
Statistical Significance
A change that is big enough to not be due to chance.
Mean
The average of a data set.
Median
The middle score in an ordered list of numbers.
Mode
The most frequent score in a data set.
Nominal Scale
A scale that uses categories without order.
Ordinal Scale
A scale that involves ordered ranks.
Interval Scale
A scale with equal intervals but no absolute zero.
Ratio Scale
A scale with equal intervals and a true zero.
Variance
A measure of how spread out scores are in a dataset.
Standard Deviation (SD)
The average distance of scores from the mean.
Pearson's r
A statistical measure that describes the strength and direction of a relationship between two quantitative variables.
Correlation
A measure that indicates the extent to which two variables change together.
Null Hypothesis (H0)
A hypothesis that assumes no difference or effect.
Research Hypothesis (H1)
A hypothesis that states there is a difference or effect.
t-Test for Independent Samples
A statistical test used to compare the means of two unrelated groups.
Chi-Square Test
A test used to determine if observed frequencies differ from expected frequencies.
Effect Size
A measure of the magnitude of a phenomenon.
Confidence Interval
A range of values that is likely to contain the population parameter.