wilcoxon test
wilcoxon signed-rank
using wilcoxon
wilcoxon rank-sum
wilcoxon p-value
wilcoxon statistic
wilcoxon hypothesis
apply wilcoxon
wilcoxon test results
nonparametric wilcoxon
the wilcoxon test is a non-parametric alternative to the t-test.
researchers often use the wilcoxon signed-rank test for paired data.
the wilcoxon rank-sum test compares two independent groups.
the wilcoxon test does not assume normal distribution of data.
many statistical software packages include the wilcoxon test by default.
the wilcoxon signed-rank test calculates differences between paired observations.
the wilcoxon test is also known as the mann-whitney u test.
results of the wilcoxon test are interpreted based on the p-value.
the wilcoxon test has less statistical power than parametric tests when assumptions are met.
large sample sizes improve the accuracy of wilcoxon test results.
before applying the wilcoxon test, researchers must check for outliers.
the wilcoxon test ranks all data points from both groups together.
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