It is (124 - 100)/8 = 24/8 = 3
The z score, for a value y, is (y - 18.6)/4
You need the mean and standard deviation in order to calculate the z-score. Neither are given.
A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.
The standard deviation.z-score of a value=(that value minus the mean)/(standard deviation)
z-score of a value=(that value minus the mean)/(standard deviation)
Bob scored 300 or 700.
The z score, for a value y, is (y - 18.6)/4
1.41
To find the mean from a raw score, z-score, and standard deviation, you can use the formula: ( \text{Raw Score} = \text{Mean} + (z \times \text{Standard Deviation}) ). Rearranging this gives you the mean: ( \text{Mean} = \text{Raw Score} - (z \times \text{Standard Deviation}) ). Simply substitute the values of the raw score, z-score, and standard deviation into this formula to calculate the mean.
You need the mean and standard deviation in order to calculate the z-score. Neither are given.
score of 92
Can someone help me find the answer for a sample n=36 with a population mean of of 76 and a mean of 79.4 with a standard deviation of 18?
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.
A z-score cannot help calculate standard deviation. In fact the very point of z-scores is to remove any contribution from the mean or standard deviation.
No. The standard deviation is not exactly a value but rather how far a score deviates from the mean.
The standard deviation.z-score of a value=(that value minus the mean)/(standard deviation)
78