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The test of significance depends on
Whether your Data is
1,Nominal
2. Ordinal
3. or Numerical
Then it also depends on the fact that whether your sample size is large or small, then think about the observations whether the observations are paired or unpaired and lastly it should also be seen that whether you are comparing two or more than two groups.
.
. When your sample is small ,is unpaired and the data is Nominal you should choose Fisher Exact Test
.If the same data is paired then choose Sign Test
,,,
When your sample is large, the observations are unpaired and the datat type is Nominal your Answer is
Chi-Square Test but if the observations are paired then select NcNemar's Chi-square test
,,,,
For Ordinal Data and comparing two groups and the observations are unpaired Apply Wilcoxon two-sample test or Mann-Whitney U-test ;but if it is paired observations then use Wilcoxon signed rank-test
for the same type of data if you are comparing more than two groups then use Kruskal Wallis 1-way analysis of variance and Fried 2-way analysis of variance respectively for unpaired and paired observations.
,,, Numerical Data.. Two groups..and unpaired observations use t-test and if the observations are paired then use paired t-test
If your Data is Numerical and the observations are unpaired and you are comparing more than two groups then F-test will be appropriate for you.
Whether your Data is
1,Nominal
2. Ordinal
3. or Numerical
Then it also depends on the fact that whether your sample size is large or small, then think about the observations whether the observations are paired or unpaired and lastly it should also be seen that whether you are comparing two or more than two groups.
.
. When your sample is small ,is unpaired and the data is Nominal you should choose Fisher Exact Test
.If the same data is paired then choose Sign Test
,,,
When your sample is large, the observations are unpaired and the datat type is Nominal your Answer is
Chi-Square Test but if the observations are paired then select NcNemar's Chi-square test
,,,,
For Ordinal Data and comparing two groups and the observations are unpaired Apply Wilcoxon two-sample test or Mann-Whitney U-test ;but if it is paired observations then use Wilcoxon signed rank-test
for the same type of data if you are comparing more than two groups then use Kruskal Wallis 1-way analysis of variance and Fried 2-way analysis of variance respectively for unpaired and paired observations.
,,, Numerical Data.. Two groups..and unpaired observations use t-test and if the observations are paired then use paired t-test
If your Data is Numerical and the observations are unpaired and you are comparing more than two groups then F-test will be appropriate for you.
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