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What else can I help you with?
Is it possible that the standard deviation is less than one?
Yes, a standard deviation can be less than one.
Can the mean be less than the standard deviation?
In general, a mean can be greater or less than the standard deviation.
Can the Variance ever be smaller than standard deviation?
Yes. If the variance is less than 1, the standard deviation will be greater that the variance. For example, if the variance is 0.5, the standard deviation is sqrt(0.5) or 0.707.
When is a t test better than a z score?
When you don't have the population standard deviation, but do have the sample standard deviation. The Z score will be better to do as long as it is possible to do it.
Can standard deviation be greater than mean?
Standard deviation can be greater than the mean.
How do you know if a z score is positive or negative?
A negative Z-Score corresponds to a negative standard deviation, i.e. an observation that is less than the mean, when the standard deviation is normalized so that the standard deviation is zero when the mean is zero.
Why the value of relative standard deviation should be less than 2?
There is no reason for that to happen.
Can a standard deviation be less than 1?
Yes. Standard deviation depends entirely upon the distribution; it is a measure of how spread out it is (ie how far from the mean "on average" the data is): the larger it is the more spread out it is, the smaller the less spread out. If every data point was the mean, the standard deviation would be zero!
What is the standard deviation of 9?
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
Can standard deviation value be less than 01?
Yes, it can have any non-negative value.
What does it indicate if the mean is greater than the standard deviation?
It does not indicate anything if the mean is greater than the standard deviation.
Can a standard deviation of a sample be less than a standard deviation of a population?
Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.
