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.
-zy or y(-z) and viceversa or y x -z and viceversa
Yes, if [x-(-y)=z] then it can be turned into [x+y=z] because the two negatives cancel each other out, causing you to be left with the opposite, a positive of plus sign.
A large negative number. For example: -5-4=-9 You take the negative of the sum of the absolute values: -x-z = -(|-x|+|-z|) = -(x+z) As to what actually happens - some really rather abstract things to do with discrete mathematics.
Generally the x-axis is displayed on a 2-dimensional Cartesian Coordinate system running horizontally (left to right - for negative to positive values of x) In a 3-D graph, the x-axis is usually shown running diagonally from upper right to lower left (for negative to positive values of x) . In a 3-D graph, the y-axis is the one running horizontally and the z-axis is vertical.
-18
no, z score can be negative but a probability is a always positive between 0 and 1.
A negative z-score indicates that the observed value (or statistic) was below the mean. In non-directional tests, a negative z-score is just as likely as a positive one.
Let z be positive so that -z is the negative z score for which you want the probability. Pr(Z < -z) = Pr(Z > z) = 1 - Pr(Z < z).
The sign of the z score is negative if the observation was below the mean and positive if it was greater.
In the same way that you would convert a positive z-score. Only leave a negative sign in front of it.
Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345
Positive Z: zealous, zestful. Negative Z: ??? Positive K: Kind, keen Negative K: kooky(?)
well why can't pigs fly? same thing!
Yes.z = (raw score - mean)/standard error.Since the standard error is positive, z < 0 => (raw score - mean) < 0 => raw score < mean.
A negative z score is a value that is less than the mean value.
No.
z-score of a value=(that value minus the mean)/(standard deviation). So if a value has a negative z-score, then it is below the mean.