Answer:
The measurements should be reported as 1.4s ± 0.2s.
Explanation:
The mean of a data set consisting of n independent values is:

The standard deviation of a data set consisting of n independent values is the measure of the spread of the data. It is computed as follows:

The standard deviation of mean (SDOM) is also known as the standard error.
The standard error is:

If we want to report these measurements the format is:

Given:

These measurements can be reported as:

Thus, the measurements should be reported as 1.4s ± 0.2s.