17.535 19.023 18.307 20.483 2.18 13.362 2.733 3.325 3.49 15.507 2.7 4.168 14.684 16.919 3.247 3.816 3.94 4.865 15.987 17.275 4.575 5.578 21.92 21.026 23.337 22.362 24.736 19.675 4.404 5.226 6.304 18.549 5.009 5.892 7.042 19.812 5.629 6.571 7.79 21.064 23.685 26.119 8.547 22.307 9.312 23.542 26.296 28.845 10.085 24.769 10.865 25.989 11.651 27.204 12.443 13.24 6.262 7.261 24.996 27.488 7.962 8.672 6.908 7.564 27.587 30.191 8.231 9.39 28.869 31.526 30.144 32.852 31.41 32.671 35.479 8.907 10.117 10.851 9.591 10.283 28.412 34.17 11.591 29.615 30.813 12.338 13.091 10.982 14.042 33.924 36.781 14.848 32.007 15.659 16.473 34.382 35.172 38.076 36.415 39.364 37.652 40.646 11.689 12.401 13.12 13.848 14.611 33.196
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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