biostatistics
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| type of data: gender, group members, categories that are mutually exclusive with no order. qualitative non-numerical data. | show 🗑
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| show | Ordinal data
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| type of data: ordered and equal distance between values. zero is arbitrary and is simply used as any number rather than the lack of value. can have positive and negative values. tells distance between values but cant do ratios. | show 🗑
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| type of data: ordered and equal distance between values but with absolute zero. | show 🗑
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| mean can be used with what types of data | show 🗑
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| show | ordinal and continuous (interval and ratio)
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| show | all. only one that can be used for nominal
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| one standard deviation in percent, two and three | show 🗑
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| show | in normally distributed data
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| show | for independent samples the Chi square or (Fisher exact test). if three or groups more you have to do a contingency table. for dependent samples use McNemar test. if more than 3 groups you use Cochran Q.
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| show | for independent samples do Mann Whitney U or Wilcoxon rank sum. if 3+ groups use Kuskal Wallis. for dependent samples use wilcoxon signed rank or Friedman if 3+ groups
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| show | for independent samples do student t. for 3+ groups use ANOVA
for dependent samples do paired student t or ANOVA for 3+ groups
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| examples of parametric tests - for normally distributed data | show 🗑
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| show | Wilcoxan Rank Sum, Mann Whitney U, Kruskal-Wallace, Friedman test.
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Created by:
mjuhlin
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