The following bivariate data set contains an outlier. x y 65.5 288.7 25.2 -94.1 17.7 -164.9 46.7 192.9 69.4 204.2 62.7 330.2 58.4 379.7 49.1 237.8 40.8 232.8 77.8 30.2 63.9 86.5 35.8 -188.9 43.4 -200.2 42.7 368.3 258.1 -180.7
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.
The following bivariate data set contains an outlier.
| x | y |
|---|---|
| 65.5 | 288.7 |
| 25.2 | -94.1 |
| 17.7 | -164.9 |
| 46.7 | 192.9 |
| 69.4 | 204.2 |
| 62.7 | 330.2 |
| 58.4 | 379.7 |
| 49.1 | 237.8 |
| 40.8 | 232.8 |
| 77.8 | 30.2 |
| 63.9 | 86.5 |
| 35.8 | -188.9 |
| 43.4 | -200.2 |
| 42.7 | 368.3 |
| 258.1 | -180.7 |
What is the
rw =
What is the correlation coefficient without the outlier?
rwo =
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