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Two ProportionsTest for Two Proportions - Fisher's Exact Test |
When you specify
a test difference of zero
Example Output |
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1 725 802 0.903990 2 573 712 0.804775
Difference = p (1) - p (2) Estimate for difference: 0.0992147 95% CI for difference: (0.0636706, 0.134759) Test for difference = 0 (vs ≠ 0): Z = 5.47 P-Value = 0.000
Fisher's exact test: P-Value = 0.000 |
Interpretation |
For the student employment data, Fisher's exact test calculated a p-value of 0.000. Minitab rounds p-values to three decimal points, so you conclude that the actual p-value is less than 0.0005. This p-value is lower than common a-levels, so you can reject the null hypothesis that the proportions of male and female students with summer employment are equal.
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