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A z-score of 0 means the value is the mean.
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∙ 13y ago
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What is the indicated z score if a graph depicts a standard normal variance with the mean 0 and standard deviation of 1?
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
What is the z value for an IQ score of 100?
IQ is distributed normally, with a mean of 100 and a standard deviation of 15. The z-score of 100 is therefore:(value-mean)*standard deviation= (100-100)*15= 0More generally, a raw score that is equivalent to the mean of a normal distribution will always have a z-score of 0.
What does a z-score of -1.5 mean?
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
What is the z-score for 1.87?
The z-score must be 1.87: the probability cannot have that value!
Can a z-score be converted into a probability?
p (z<0)
Can a negative z score be greater than a positive z score?
Assume the z-score is relative to zero score. In simple terms, assume that we have 0 < z < z0, where z0 is the arbitrary value. Then, a negative z-score can be greater than a positive z-score (yes). How? Determine the probability of P(-2 < z < 0) and P(0 < z < 1). Then, by checking the z-value table, you should get: P(-2 < z < 0) ≈ 0.47725 P(0 < z < 1) ≈ 0.341345
What would the Z score be if Z equals 0 and Z equals -1.41?
1.41
What is the indicated z score if a graph depicts a standard normal variance with the mean 0 and standard deviation of 1?
For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.For a N(0, 1) distribution, no linear transformation is necessary and so the z-score is the value of the coordinate on the horizontal axis.
Does a negative z score yield a negative probability value?
no, z score can be negative but a probability is a always positive between 0 and 1.
Can a z score be a negative value?
Yes. However, because the distribution is symmetric about 0, some tables give only positive values for z.
What does a negative z-score 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.
How is the z-score depicted?
z-score of a value=(that value minus the mean)/(standard deviation)
What is meant by a z-score?
z-score of a value=(that value minus the mean)/(standard deviation)
How do you find out the z-score?
z-score of a value=(that value minus the mean)/(standard deviation)
What is the z-score for the area equals 0.7704?
In a standard normal distribution curve, one half of the area is .5 (or 50%). 0 is the middle value of the z-score. So, for an area of .7704, z must be negative. Also, the area from 0 to z (which is negative) must be equal to .2704. From the normal probability table, this value is -0.74 Therefore, the z-score for the area equals 0.7704 is -0.74
Find z score for normal distribution for 50th percentile?
Answer: 0 The z score is the value of the random variable associated with the standardized normal distribution (mean = 0, standard deviation =1). Now, the median and the mean of a normal distribution are the same. The 50 percentile z score = the median = mean = 0.
What is the meaning of a negative z score?
A negative z score is a value that is less than the mean value.
