If a random variable (RV) X is distributed Normally with mean m and standard deviation sthen
Z = (X - m)/s is the corresponding Normal variable which is distributed with mean 0 and variance 1. The distribution of X is difficult to compute but that for Z is readily available. It can be used to find the probabilities of the RV lying in different domains and thereby for testing hypotheses.
A z-score of 0 means the value is the mean.
Z=²8² = 8x8 = 64the value of z = 8
The expression "3 divided by z" is represented mathematically as ( \frac{3}{z} ). The result depends on the value of ( z ); as long as ( z ) is not zero, this expression will yield a numerical value. If ( z = 0 ), the division is undefined.
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To find the value of ( z ) in a normal distribution, you use the formula ( z = \frac{(X - \mu)}{\sigma} ), where ( X ) is the value for which you want to find ( z ), ( \mu ) is the mean, and ( \sigma ) is the standard deviation. Given that the mean ( \mu = 6 ) and the standard deviation ( \sigma = 10 ), you need a specific value of ( X ) to calculate ( z ). Without a specific ( X ), the value of ( z ) cannot be determined.
If: z -31 = 64 then the value of z is 95
A z-score of 0 means the value is the mean.
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.
0.97
10.2
z-score of a value=(that value minus the mean)/(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)
Z=²8² = 8x8 = 64the value of z = 8
The z-score, for a value z, is the probability that a Standard Normal random variable will have a value greater than z.
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.
z = ±0.44