You cannot have a standard deviation for 1 number.
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Z-Score tells how many standard deviations a measurement is away from the mean.
You may be referring to the statistical term 'outlier(s)'. Also, there is a rule in statistics called the '68-95-99 Rule'. It states that in a normally distributed dataset approximately 68% of the observations will be within plus/minus one standard deviation of the mean, 95% within plus/minus two standard deviations, and 99% within plus/minus three standard deviations. So if your data follow the classic bell-shaped curve, roughly 1% of the measures should fall beyond three standard deviations of the mean.
It is 1.28
The sum of standard deviations from the mean is the error.
95% is within 2 standard deviations of the mean.