Measures of central tendency
Mean, Median, Mode, mid-range, ..., etc.
Measures of Variations
Standard Deviation, Range, Quartile, ..., etc
Detecting for any possible outliers
Using z-scores, Box-plot, Residuals Analysis, Studentized t-test, ..., etc.
Test for Normality of the data
Shapiro test, Kolomogrove test, Histogram, Q-Q-plot, ..., etc.
Test of hypothesis
To test weather there is any significant differences between the groups levels.
t-test / paired t test, ANOVA, Chi-square
Mann–Whitney U test / Wilcoxon rank-sum test, Kruskal-Wallis H test, Fisher test.
Results Satistical Interpretation
The best way to interpret your statistical results tables and figures in to see how the scholars in your fields went through the statistical interpretation. But, in this slide, I will provide some helpful techniques to generate the statistical interpretation using the recommendation deep learning system