If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
z value=0.44
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.
A z score of .5 corresponds to 19% of the data between the mean and z. P( 0 < z < .5) = .19
The mean is 46.
z = -1.644853 (approx).
2.82
z = 1.28, approx.
1
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
z value=0.44
There is insufficient information in the question to answer it. To determine Z score, you need raw score, mean, and standard deviation. Please restate the question.
A z score of .5 corresponds to 19% of the data between the mean and z. P( 0 < z < .5) = .19
-0.675
3.06
The mean is 46.
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.