a. Calculate the variance of the scores 10r woman. b. Are the scores for the younger woman more con- sistent (less variable)?
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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Younger (X) | Older (Y) | (x-xbar)^2 | (y-ybar)^2 |
8 | 7 | 0.5625 | 0.0625 |
6 | 5 | 1.5625 | 5.0625 |
6 | 8 | 1.5625 | 0.5625 |
7 | 5 | 0.0625 | 5.0625 |
8 | 7 | 0.5625 | 0.0625 |
7 | 6 | 0.0625 | 1.5625 |
8 | 8 | 0.5625 | 0.5625 |
8 | 5 | 0.5625 | 5.0625 |
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