Significant Differences Between Two Distributions.
By using the chi-square test for the degree of coincidence, it is possible to establish to what extent the distribution of a sample coincides with its theoretical distribution.
If the X2 value is greater than those on the table, the difference can be significant leaving only the percentage of probabilities to chance: 5% or 95%.
| Degrees of Freedom | X2 max value at 5% | X2 max value at 10% |
|---|---|---|
| 1 | 3,84 | 0,004 |
| 2 | 5,99 | 0,10 |
| 3 | 7,81 | 0,35 |
| 4 | 9,49 | 0,71 |
| 5 | 11,07 | 1,15 |
Results by Distribution
Sample Frequency
ID Sample for Comparison
Patron Sample Frequency
ID Sample for Comparison
Patron Sample Frequency
ID Sample for Comparison
Total Sample by Distribution
1
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2
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3
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X2 Value
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5% significance
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95% significance
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