What does a standard deviation of above 1 mean?

This means that distributions with a coefficient of variation higher than 1 are considered to be high variance whereas those with a CV lower than 1 are considered to be low-variance. Remember, standard deviations aren’t “good” or “bad”. They are indicators of how spread out your data is.

What is the acceptable standard deviation?

Statisticians have determined that values no greater than plus or minus 2 SD represent measurements that are more closely near the true value than those that fall in the area greater than ± 2SD. Thus, most QC programs call for action should data routinely fall outside of the ±2SD range.

What does 1 standard deviations mean?

Specifically, if a set of data is normally (randomly, for our purposes) distributed about its mean, then about 2/3 of the data values will lie within 1 standard deviation of the mean value, and about 95/100 of the data values will lie within 2 standard deviations of the mean value. …

What is a big standard deviation?

A large standard deviation indicates that the data points are far from the mean, and a small standard deviation indicates that they are clustered closely around the mean.

What percent is more than 3 standard deviations above the mean?

99.7\%
Under this rule, 68\% of the data falls within one standard deviation, 95\% percent within two standard deviations, and 99.7\% within three standard deviations from the mean.

What does standard deviation of less than 1 mean?

A low standard deviation indicates that the values tend to be close to the mean (also called the expected value) of the set, while a high standard deviation indicates that the values are spread out over a wider range.

Is it good to have a high standard deviation?

A high standard deviation shows that the data is widely spread (less reliable) and a low standard deviation shows that the data are clustered closely around the mean (more reliable).

How much is 3 standard deviations?

The Empirical Rule states that 99.7\% of data observed following a normal distribution lies within 3 standard deviations of the mean. Under this rule, 68\% of the data falls within one standard deviation, 95\% percent within two standard deviations, and 99.7\% within three standard deviations from the mean.

Is my standard deviation high or low?

Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out. A standard deviation close to zero indicates that data points are close to the mean, whereas a high or low standard deviation indicates data points are respectively above or below the mean.

What is considered a small and large standard deviation?

Standard deviation can be difficult to interpret as a single number on its own. Basically, a small standard deviation means that the values in a statistical data set are close to the mean (or average) of the data set, and a large standard deviation means that the values in the data set are farther away from the mean.