MODE =
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.
Given Y: y1=1, y2 =2, y3 =3, y4 =2, y5 =4, y6 =8, y7 =8, y8 =4, y9 =3, y10 =1
MODE =
| A. |
1 |
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| B. |
2 |
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| C. |
3 |
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| D. |
4 |
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| E. |
5 |
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| F. |
8 |
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| G. |
All are modes (multi-modal) |
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| H. |
No mode for these data |
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