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 |
