Negative z value means that the raw dat is below the mean, if z value is positive it means that the raw data is above the mean.
A negative z score is a value that is less than the mean value.
The z value corresponding to a number below the mean is Negative.
A z-score measures how many standard deviations an individual value is from the mean of a dataset. It is calculated by subtracting the mean from the individual value and then dividing by the standard deviation. A positive z-score indicates that the value is above the mean, while a negative z-score indicates that it is below the mean. A z-score of zero means the value is exactly at the mean.
no, z score can be negative but a probability is a always positive between 0 and 1.
The Z value is negative, but area is always positive.
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.
A negative z score is a value that is less than the mean value.
The z value corresponding to a number below the mean is Negative.
Yes. If a score is below the mean, the z score will be negative.
Yes.
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.
Use the context: if the variable should be greater than the mean then z is positive and if less than the mean, it should be negative.
Below the mean
A z-score indicates how many standard deviations a value is from the mean of a distribution. A z-score of 1.00 is positive, meaning it is above the mean, while a z-score of -1.4 is negative, indicating it is below the mean. Therefore, a z-score of 1.00 corresponds to a higher value within the distribution compared to a z-score of -1.4.
no, z score can be negative but a probability is a always positive between 0 and 1.
Nothing particular, since z is symmetric about zero. Half the time z is negative.
z value looks at standard deviations away from the mean. if its tests scores, a higher positive z value means they are higher away from the mean in a positive direction the opposite is true for a negative z score.