DR Medhat MRCP

Q :
Non-parametric tests
Analysis of variance is the most appropriate to compare the means of more
than two groups.
Chi-squared test is used to test the association between categorical
variables – compares proportions or percentages.
The independent sample t test is used to compare means of two
independent samples that approximately follow normal distribution.
Mann-Whitney U test is used to compare medians or rank orders of two
groups with non-normal distribution (unpaired data)
Multiple regression is used to analyse the relationship between one
dependent variable and one or more independent variables
log-rank test is the appropriate test to use to compare survivals in two
independent groups.
Wilcoxon matched-pairs - compares two sets of observations on a single
sample
Spearman, Kendall rank – correlation
McNemar's test is used on nominal data to determine whether the row and
column marginal frequencies are equal.
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