Binomial Proportion in Excel with UNISTAT
The UNISTAT statistics add-in extends Excel with Binomial Proportion capabilities.
For further information visit UNISTAT User's Guide section 6.4.3. Binomial Proportion.
Here we provide a sample output from the UNISTAT Excel statistics add-in for data analysis.
Binomial Proportion
Data option: Column Contains Two Categories
Cases | |
---|---|
Species = A | 9 |
Species = B | 13 |
Total | 22 |
Runs Test
Number of Runs | Z-Statistic | 1-Tail Probability | 2-Tail Probability | |
---|---|---|---|---|
Asymptotic | 8 | -1.4197 | 0.0779 | 0.1557 |
Asymptotic with CC | -1.6460 | 0.0499 | 0.0998 |
Binomial Test
Expected Proportion | 0.5000 |
---|---|
Observed Proportion | 0.4091 |
Proportion used in SE | Standard Error | Z-Statistic | 1-Tail Probability | 2-Tail Probability | Lower 95% | Upper 95% | |
---|---|---|---|---|---|---|---|
Wald | 0.4091 | 0.1048 | 0.2036 | 0.6145 | |||
H0 | 0.5000 | 0.1066 | -0.8528 | 0.1969 | 0.3938 | ||
Wald with CC | 0.4091 | 0.1048 | 0.1809 | 0.6373 | |||
H0 | 0.5000 | 0.1066 | -0.6396 | 0.2612 | 0.5224 | ||
Wilson (score) | 0.2326 | 0.6127 | |||||
Wilson with CC | 0.2148 | 0.6332 | |||||
Agresti-Coull | 0.4226 | 0.0972 | 0.2321 | 0.6131 | |||
Agresti-Coull (+2) | 0.4231 | 0.0969 | 0.2332 | 0.6130 | |||
Jeffreys | 0.2253 | 0.6151 | |||||
Clopper-Pearson (exact) | 0.2617 | 0.5235 | 0.2071 | 0.6365 |
Noninferiority Test
Expected Proportion | 0.5000 |
---|---|
Observed Proportion | 0.4091 |
Noninferiority Margin | 0.2000 |
Proportion used in SE | Standard Error | Z-Statistic | 1-Tail Probability | 2-Tail Probability | Lower 90% | Upper 90% | |
---|---|---|---|---|---|---|---|
Wald | 0.4091 | 0.1048 | 1.0407 | 0.1490 | 0.2367 | 0.5815 | |
H0 | 0.3000 | ||||||
Wald with CC | 0.4091 | 0.1048 | 0.8239 | 0.2050 | 0.2139 | 0.6042 | |
H0 | 0.3000 | ||||||
Clopper-Pearson (exact) | 0.1865 | 0.3729 | 0.2327 | 0.6048 |
Superiority Test
Expected Proportion | 0.5000 |
---|---|
Observed Proportion | 0.4091 |
Superiority Margin | 0.2000 |
Proportion used in SE | Standard Error | Z-Statistic | 1-Tail Probability | 2-Tail Probability | Lower 90% | Upper 90% | |
---|---|---|---|---|---|---|---|
Wald | 0.4091 | 0.1048 | -2.7752 | 0.0028 | 0.2367 | 0.5815 | |
H0 | 0.7000 | ||||||
Wald with CC | 0.4091 | 0.1048 | -2.5584 | 0.0053 | 0.2139 | 0.6042 | |
H0 | 0.7000 | ||||||
Clopper-Pearson (exact) | 0.0043 | 0.0087 | 0.2327 | 0.6048 |
Equivalence Test
Expected Proportion | 0.5000 |
---|---|
Observed Proportion | 0.4091 |
Lower Equivalence Margin | -0.2000 |
Lower Equivalence | Proportion used in SE | Standard Error | Z-Statistic | 1-Tail Probability | 2-Tail Probability | Lower 90% | Upper 90% |
---|---|---|---|---|---|---|---|
Wald | 0.4091 | 0.1048 | 1.0407 | 0.1490 | 0.2367 | ||
H0 | 0.3000 | ||||||
Wald with CC | 0.4091 | 0.1048 | 0.8239 | 0.2050 | 0.2139 | ||
H0 | 0.3000 | ||||||
Clopper-Pearson (exact) | 0.1865 | 0.2327 |
Upper Equivalence Margin | 0.2000 |
---|
Upper Equivalence | Proportion used in SE | Standard Error | Z-Statistic | 1-Tail Probability | 2-Tail Probability | Lower 90% | Upper 90% |
---|---|---|---|---|---|---|---|
Wald | 0.4091 | 0.1048 | -2.7752 | 0.0028 | 0.5815 | ||
H0 | 0.7000 | ||||||
Wald with CC | 0.4091 | 0.1048 | -2.5584 | 0.0053 | 0.6042 | ||
H0 | 0.7000 | ||||||
Clopper-Pearson (exact) | 0.0043 | 0.6048 |
Overall | 1-Tail Probability | Lower 90% | Upper 90% |
---|---|---|---|
Wald | 0.1490 | 0.2367 | 0.5815 |
Wald with CC | 0.2050 | 0.2139 | 0.6042 |
Clopper-Pearson (exact) | 0.1865 | 0.2327 | 0.6048 |