Assuming that the heights of college women are normally distributed with mean 63 inches and standard deviation 1.7 Inches, answer the following questions. (Hint: Use the figure below with mean u and standard deviation o.) Area Under a Normal Curve 2.35% 13.5% 34% 34% 13.5% 2.35% u- 30 20 A+ 20 + 30 68% 95% 99.7%
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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