Summarize the results for each variable

In summarizing the results of a variable it must be supported with statistical data such as the central tendencies,
measures of variablility or other advance statistical measures.

Example:
Consider a study which compared the percentage of particulate matter present before and after installation of luffa
filter in the exhaust pipe of diesel engine cars.

Mean without filter 70.07166667
Mean with filter 44.16666667

This is how the summary would be written:

Base on the calculated mean values, there is lesser % Particulate Matter found in the exhaust pipes with luffa filter  than the
exhaust pipes without luffa filter of diesel engine cars.