Observations Actual Value Predicted Value 1 227 192 2 160 206 3 83 210 4 121 259 5 193 142 6 263 296 7 202 142 8 126 235 9 143 196 10 196 248 RMSE: ME: MAD:
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.
| Observations | Actual Value | Predicted Value |
| 1 | 227 | 192 |
| 2 | 160 | 206 |
| 3 | 83 | 210 |
| 4 | 121 | 259 |
| 5 | 193 | 142 |
| 6 | 263 | 296 |
| 7 | 202 | 142 |
| 8 | 126 | 235 |
| 9 | 143 | 196 |
| 10 | 196 | 248 |
- RMSE:
- ME:
- MAD:
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