Data compression is when data is put into an extractable format, this can be done with programs like 7-zip, Winrar, And many others like it. Or, Data can be placed inside of a Virtual disk Image file (ISO) and be compressed that way.
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The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.
One can just convert it themselves. For example 1 inch is 2.54cm, and one pound is .45kg. There are many conversion tables that can be found, both in print and online that give the full list of standard to metric conversions. Also many scientific calculators have the conversions built in so one just has to enter data and it converts it for them.
Standard deviation can only be zero if all the data points in your set are equal. If all data points are equal, there is no deviation. For example, if all the participants in a survey coincidentally were all 30 years old, then the value of age would be 30 with no deviation. Thus, there would also be no standard deviation.A data set of one point (small sample) will always have a standard deviation of zero, because the one value doesn't deviate from itself at all.!
Some formulas statisticians may use are population mean, sample mean, variance, and standard deviation. They may also use linear regression line and standard error equations. Another can be the mean value of a data set, where one adds all data points given in a set and divides this number by the number of data points in the set.
A standard distribution regards 95% of all data being within 2-standard deviations of either side. Similarly, within one standard deviation either way is 68% of all data. This creates a bell curve distribution. An abnormal distribution would be erratic and not follow such a statistical structure of representation.