One and Two Sample Interference Flashcards
this is the analysis and interpretation of data
inferential
parametric and non parametric test
inferential
are the test applied to data that are normally distributed
parametric test
parametric test is usually expressed in
interval and ratio
in parametric test, the skewness is equal to
zero
in parametric test, the kurtosis is equal to
0.265
True or False
parametric test is more powerful than non parametric test
true
what is the non parametric equivalent of paired t test
wilcoxon rank sum test
what is the non parametric equiavalent of unpaired t test
mann-whitney u test
its non parametric equivalent is spearman correlation
pearson correlation
what is the nonparametric equivalent of one way analysis of variance
kruskal wallis test
procedures in hypothesis testing
- formulate the null and alternative hypothesis
- choose a level of significance
- choose the appropriate test statistic
- establish critical region
- decision (accept null if outside the critical region)
- conclusion
if the computed t-statistics is less than the critical value, does it fall in the critical region?
it does not fall in the critical region
if the critical value falls in the critical value, should we reject or accept?
reject
this table is used to find the critical values based on 95% confidence level and alpha at 0.05
t table