Slope Ratio Method in Excel with Unistat
The Unistat statistics add-in extends Excel with Slope Ratio Method capabilities.
Further documentation is available at section 10.2 of the manual, Bioassay Analysis > Slope Ratio Method.
Sample output
Here we provide annotated example report output from the Unistat Excel statistics add-in for data analysis.
Slope Ratio Method
Normality Tests
Smaller probabilities indicate non-normality.
* Lilliefors probability = 0.2 means 0.2 or greater.
| Dose x Preparations | Valid Cases | Mean | Standard Deviation | Shapiro-Wilk Test | Probability | Kolmogorov-Smirnov Test | * Probability | Cramer-von Mises Test |
| 0 x Blank | 4 | 41.7500 | 3.3040 | 0.9157 | 0.5130 | 0.2521 | 0.2000 | 0.0443 |
| 0.5 x Standard | 4 | 100.0000 | 3.5590 | 0.8947 | 0.4051 | 0.2500 | 0.2000 | 0.0518 |
| 1 x Standard | 4 | 161.5000 | 4.9329 | 0.9646 | 0.8081 | 0.1939 | 0.2000 | 0.0304 |
| 0.5 x Test | 4 | 85.0000 | 4.7610 | 0.9110 | 0.4877 | 0.2357 | 0.2000 | 0.0463 |
| 1 x Test | 4 | 122.2500 | 1.2583 | 0.8949 | 0.4064 | 0.3287 | 0.1554 | 0.0676 |
| Dose x Preparations | Probability | Anderson-Darling Test | Probability |
| 0 x Blank | 0.5124 | 0.2706 | 0.4502 |
| 0.5 x Standard | 0.3989 | 0.3151 | 0.3280 |
| 1 x Standard | 0.7840 | 0.1973 | 0.7044 |
| 0.5 x Test | 0.4814 | 0.2783 | 0.4263 |
| 1 x Test | 0.2335 | 0.3610 | 0.2343 |
Homogeneity of Variance Tests
| Test Statistic | Probability |
| Bartlett's Chi-square Test | 4.3575 | 0.3598 |
| Bartlett-Box F Test | 1.1126 | 0.3498 |
| Cochran's C (max var / sum var) | 0.3372 | 0.8137 |
| Hartley's F (max var / min var) | 15.3684 | |
| Levene's F Test | 3.3168 | 0.0390 |
Validity of Assay
| Due To | Sum of Squares | DoF | Mean Square | F-Stat | Prob |
| Constant | 208488.200 | 1 | 208488.200 | | |
| Regression | 31456.914 | 2 | 15728.457 | 1089.731 | 0.0000 |
| Blanks | 2.161 | 1 | 2.161 | 0.150 | 0.7043 |
| Intercept | 34.225 | 1 | 34.225 | 2.371 | 0.1444 |
| Non-linearity | 0.000 | 0 | | | |
| Standard Non-linearity | 0.000 | 0 | | | |
| Test Non-linearity | 0.000 | 0 | | | |
| Treatments | 31493.300 | 4 | 7873.325 | | |
| Residual | 216.500 | 15 | 14.433 | | |
| Total | 31709.800 | 19 | 1668.937 | | |
Separate Regression
| Intercept | Slope | Residual SS | R-squared |
| Standard | 38.5000 | 123.0000 | 111.0000 | 0.9855 |
| Test | 47.7500 | 74.5000 | 72.7500 | 0.9745 |
Common Regression
| Intercept | Slope | Residual SS | R-squared |
| Standard | 42.1429 | 118.6286 | 252.8857 | 0.9920 |
| Test | | 81.2286 | | |
Potency
| Test Preparation | Assigned Potency | Estimated Potency | Lower 95% | Upper 95% | Variance | Weight | % Precision |
| Test | 1.0000 | 0.6847 | 0.6464 | 0.7236 | 0.0003 | 3046.6783 | 94.3986 |