the tests: aim, assumption & null hypothesis Flashcards
One sample t-test
-Compares means and population mean- c ( a constant)
-assumes normality
-accept H0: mean =population mean, c
paired t test
-parametric
-compares mean of 2 related sample
-assumes normality of mean difference, normality of distribution,
-accept H0 if means are equals and mean difference is 0
2 sample t-test/ independent t-test
-parametric
-compares means of 2 independent samples
-from normal distribution assumes variances are equal & mean difference is 0
-acept H0 if means are equal
-df : n + m - 2
F-test
-compares variances of 2 independant samples
-assumes normal distribution
-accept H0 if variances1 = variance2
-df : n-1/ d-1
One-way ANOVA test
-compares means of multiple independent samples
-from normal distribution , variances are equal
-accept H0 if : all means are equal
-reject H0 if even 1 mean is different
Chi-square test
-compares distribution of categorical variables
-assumes that for at least 20% all expected frequencies are below 5
-accept H0 : 2 variables are independent
Non-parametric test
-compares sample: where normality does not hold & data are measure on ordinal scale
-assumes continuous distribution
-accept H0: same population
Cohen’s Kappa/ Measurement of agreement
-measures agreement between 2 categorical variables
-accept H0 : Kpop=0
OR
-aims to find relative risk factor
-assumes retrospective study
-accept H0: OR= 1
RR
-finding risk factor
-assumes cohort study
-H0 accept: RR=1
binomial test
-compares unknown probability
-accept H0 if values is betwen -1.96 & 1.96
survival analysis
-calculates survival probability, mean survival and median survival
-assumes censored dat