For a sample with a standard deviation of s = 12, describe the location of each of the following z-scores in terms of its position relative to the mean. For example, z= +100 is a location that is 12 points above the mean. a. z= -200 b. z=+0.75 c. z=+1.00 d. z=-1.50
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
For a sample with a standard deviation of s = 12, describe the location of each of the following z-scores in terms of its position relative to the
a. z= -200
b. z=+0.75
c. z=+1.00
d. z=-1.50
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