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.
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
From A to Z-Z-Z-Z - 1953 is rated/received certificates of: Australia:G
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.