Matching Coefficient method. Jaccard’s Coefficient method. Observation A B C D E F G 1 1 1 0 0 1 0 0 2 1 1 1 1 0 0 1 3 1 0 1 0 0 0 0 4 0 1 0 0 1 1 0 5 0 0 0 1 1 1 1 6 0 0 0 1 0 1 0
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.
Use the following data set of 6 observations relating to 7 variables to construct a similarity matrix by:
- Matching Coefficient method.
- Jaccard’s Coefficient method.
|
Observation |
A |
B |
C |
D |
E |
F |
G |
|
1 |
1 |
1 |
0 |
0 |
1 |
0 |
0 |
|
2 |
1 |
1 |
1 |
1 |
0 |
0 |
1 |
|
3 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
|
4 |
0 |
1 |
0 |
0 |
1 |
1 |
0 |
|
5 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
|
6 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
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