5.33 18.3 24.55 9.08 12.22 5.52 2.01 3.81 192.9 17.83 23.77 8.7 11.15 4.87 1.72 3.72 66.08 15.41 22.59 6.75 9.97 4.83 1.29 3.72 28.09 12.32 19.55 5.55 9.19 3.83 0.79 2.79 34.91 13.95 20.77 6.47 9.63 4.47 1.01 3.07 Draw histogram
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.
| 5.33 | 18.3 | 24.55 | 9.08 | 12.22 | 5.52 | 2.01 | 3.81 |
| 192.9 | 17.83 | 23.77 | 8.7 | 11.15 | 4.87 | 1.72 | 3.72 |
| 66.08 | 15.41 | 22.59 | 6.75 | 9.97 | 4.83 | 1.29 | 3.72 |
| 28.09 | 12.32 | 19.55 | 5.55 | 9.19 | 3.83 | 0.79 | 2.79 |
| 34.91 | 13.95 | 20.77 | 6.47 | 9.63 | 4.47 | 1.01 | 3.07 |
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