Asked by Nicole Moffe on Jul 28, 2024
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The Spearman rank-correlation is a nonparametric test that 1) uses the directions of differences observed in a matched-pairs sample to determine whether the relative frequency distributions of two statistical populations are identical to or different from one another and 2) determines whether a sample comes from a population with a specified median.
Spearman Rank-Correlation
A non-parametric measure of rank correlation, assessing how well the relationship between two variables can be described using a monotonic function.
Nonparametric Test
A type of statistical test that does not assume the data comes from a particular distribution.
Matched-Pairs Sample
A method where each subject is paired based on certain characteristics before being assigned to different treatments for comparison.
- Develop the ability to calculate and understand the Spearman rank correlation coefficient.
- Comprehend the difference between parametric and nonparametric statistical tests concerning underlying data assumptions.
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Learning Objectives
- Develop the ability to calculate and understand the Spearman rank correlation coefficient.
- Comprehend the difference between parametric and nonparametric statistical tests concerning underlying data assumptions.
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