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Two Means - Matched Pairs (Dependent Samples) definitions
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Matched Pairs
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Matched Pairs
Samples where each value in one group is uniquely paired with a value in another, often through before-and-after or related individuals.
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Terms in this set (15)
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Matched Pairs
Samples where each value in one group is uniquely paired with a value in another, often through before-and-after or related individuals.
One-to-One Relationship
A direct pairing between values in two samples, ensuring each value is linked to exactly one counterpart.
Mean Difference
The average of the differences calculated between each matched pair, serving as the central measure in analysis.
Sample Mean Difference
The computed average of all individual differences in matched pairs, denoted as d-bar.
Standard Deviation of Differences
A measure of variability among the differences in matched pairs, represented as s sub d.
Null Hypothesis
The default claim that there is no difference between paired values, typically stating the mean difference equals zero.
Alternative Hypothesis
A claim suggesting a significant change or difference exists between paired values, challenging the null hypothesis.
Confidence Interval
A range constructed around the sample mean difference, estimating where the true population mean difference likely falls.
Margin of Error
The product of the critical t-value and the standard deviation of differences divided by the square root of the number of pairs.
Critical t-value
A cutoff from the t-distribution, based on confidence level and degrees of freedom, used in interval and error calculations.
Degrees of Freedom
A value calculated as the number of pairs minus one, used to select the appropriate t-distribution.
p-value
The probability, under the null hypothesis, of observing a test statistic as extreme as the one calculated from the data.
Level of Significance
A threshold, often denoted alpha, used to decide whether to reject the null hypothesis based on the p-value.
Point Estimator
A single value, such as the sample mean difference, used as the best guess for the population parameter.
Independent Samples
Groups where values in one sample have no unique pairing or relationship with values in the other sample.