Dear Shamama Firdaus

Greetings,

The standard deviation is variable to measure the risk , so if the SD is high , the risk is high .

Best Regards

A standard deviation provide a sence of how variable a summary measure is.  Since approximately 2+/- the SD from the summary measure will provide a bound where about 95% of the observations will fall within... assuming that the data is approximately normally distributed

This question is so vague there's unlikely to be a solid answer of any use to either the Shamama or anyone else. You don't interpret values in a vacuum. It would be best if you rewrote this to include specific information like what you know about the mean and sd you're trying to interpret as well as about the kinds of values you're studying.

Thanks all, actually I want to write the interpretation of a survey data.The data is obtained by conducting a survey  among the researchers of three different universities on their "use of web resources" .I have attached the sample data in which I have calculated mean and standard deviation corresponding to each university .Now I want to know how these values of mean and standard deviation can be used to write theoretical interpretation and make a comparative  analysis.

Hello there,

Standard deviation is a measure of dispersion of your data from the mean (average score). For example, you may find that the mean score is 20 (range is 0 to 40) and that approximately 64% of the scores variability falls within one standard deviation below and above the mean (SD = 5; so in practice between 15 and 25). 

Hope it helps a bit.

Regards, Witold

The standard deviation is a parameter that describes the distribution of the data used to calculate the mean; it is sometimes referred to as a moment.  Other moments are e.g. skewness and kurtosis.