For a sample with a standard deviation of , s=15 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 15 points above the mean. z = -1.20 z = -0.80 z = +2.00 4. z = -1.60
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.
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For a sample with a standard deviation of , s=15 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 15 points above the mean.-
z = -1.20
-
z = -0.80
- z = +2.00
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4. z = -1.60
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