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How do you use the z-score to determine a normal curve?
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
What Z score corresponds to 17 percent of the data between the mean and the Z?
z value=0.44
What Z score correspnods to 19 percent of the date between mean and the Z?
A z score of .5 corresponds to 19% of the data between the mean and z. P( 0 < z < .5) = .19
In a distribution with a standard deviation of eight an individual score of 42 corresponds to a Z score of -0.5. What is the mean of this distribution?
The mean is 46.
What z value corresponds to an area of 0.9881 being to left of z?
2.224
What is the z score that corresponds to the 5th percentile?
z = -1.644853 (approx).
The area to the left of z is 0.9976 What z-score corresponds to this area?
2.82
What z score corresponds to 40 percent between the mean and the z?
z = 1.28, approx.
The median for any distribution corresponds to a z-score of?
1
How do you use the z-score to determine a normal curve?
If the Z-Score corresponds to the standard deviation, then the distribution is "normal", or Gaussian.
What Z score corresponds to 17 percent of the data between the mean and the Z?
z value=0.44
What z-score corresponds to this value?
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.
What Z score correspnods to 19 percent of the date between mean and the Z?
A z score of .5 corresponds to 19% of the data between the mean and z. P( 0 < z < .5) = .19
What is the z score that corresponds to the first quartile for the standard normal curve?
-0.675
What is the z score of 0.0011 that corresponds to the area under the standard normal curve?
3.06
In a distribution with a standard deviation of eight an individual score of 42 corresponds to a Z score of -0.5. What is the mean of this distribution?
The mean is 46.
How do you know if a z score is positive or negative?
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.
