P(x) 0.03 1 0.07 2 0.33 3 0.36 0.08 0.13 5.
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.
Calculating x*P(x)
| x | P(x) | x*P(x) |
| 0 | 0.03 | 0 |
| 1 | 0.07 | 0.07 |
| 2 | 0.33 | 0.66 |
| 3 | 0.36 | 1.08 |
| 4 | 0.08 | 0.32 |
| 5 | 0.13 | 0.65 |
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