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The mean would be negative, but standard deviation is always positive.
No. It is defined to be the positive square root of ((the sum squared deviation divided by (the number of observations less one))
It means that the observed value is greater than that which might be expected under the model being used. Often, it is deviation from the [arithmetic] mean.
The SD is the (positive) square root of the variance.
No. The square of a number is always positive, so the sum of several of them must also be positive.
why does the declinatıon from raoults law
Yes.
Any positive number is fair game.
The mean would be negative, but standard deviation is always positive.
No. It is defined to be the positive square root of ((the sum squared deviation divided by (the number of observations less one))
Yes.
it shows negative deviation
It means that the observed value is greater than that which might be expected under the model being used. Often, it is deviation from the [arithmetic] mean.
due to linkage..
The SD is the (positive) square root of the variance.
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.
No. The square of a number is always positive, so the sum of several of them must also be positive.