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BCPS study guide

biostatistics

QuestionAnswer
type of data: gender, group members, categories that are mutually exclusive with no order. qualitative non-numerical data. Nominal - think "n for naming"
type of data: categorical with order. used to measure attitudes or perceptions such as a likert scale or pain scale but the difference between is arbitrary. numbers only establish order but not amounts. Ordinal data
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. Interval
type of data: ordered and equal distance between values but with absolute zero. Ratio
mean can be used with what types of data interval and ratio
median can be used with what types of data ordinal and continuous (interval and ratio)
mode can be used with what types of data all. only one that can be used for nominal
one standard deviation in percent, two and three 68.26%, 95%, 99% respectively
when does the mean equal the median in normally distributed data
what are the examples of tests for Nominal Data 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.
what are the examples of tests for Ordinal Data 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
what are the examples of tests for Continuous Data for independent samples do student t. for 3+ groups use ANOVA for dependent samples do paired student t or ANOVA for 3+ groups
examples of parametric tests - for normally distributed data student t tests, ANOVA, ANCOVA, Pearson correlation, Linear regression
examples of non-parametric tests - for non-normally distributed data Wilcoxan Rank Sum, Mann Whitney U, Kruskal-Wallace, Friedman test.
Created by: mjuhlin
 

 



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