# A tibble: 39 × 2
   `Test Sample` `%Inhibition`
   <chr>                 <dbl>
 1 Leaves                 57.0
 2 Leaves                 64.0
 3 Leaves                 57.4
 4 Leaves                 59.7
 5 Leaves                 45.4
 6 Leaves                 45.7
 7 Leaves                 51.6
 8 Leaves                 40.9
 9 Leaves                 58.4
10 Rhizomes               33.7
# … with 29 more rows
# ℹ Use `print(n = ...)` to see more rows

ANOVA Comparison

              Df Sum Sq Mean Sq F value  Pr(>F)    
`Test Sample`  4   6902  1725.6   21.07 8.2e-09 ***
Residuals     34   2785    81.9                    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Based on the ANOVA model the p-value is statistically significant (p<0.05), indicate that each group does not have the same average values.

Dunnett’s Test for the Comparison of Plant Parts to Kortezor


  Dunnett's test for comparing several treatments with a control :  
    95% family-wise confidence level

$Kortezor
                       diff    lwr.ci     upr.ci    pval    
Leaves-Kortezor   -26.67793 -41.54715 -11.808715 0.00025 ***
Pericarp-Kortezor -32.29819 -47.16740 -17.428969 1.2e-05 ***
Rhizomes-Kortezor -43.91150 -58.78072 -29.042286 1.4e-08 ***
Seeds-Kortezor    -12.49588 -27.36509   2.373339 0.11194    

---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

The Control group (Kortezor) scored significantly higher values compared to Leaves, Pericarp, and Rhizomes with p-values result of 0.00039, 0.000011, and 0.00000001, respectively. Moreover, the difference between Kortezon and Seeds does not differ significantly with a p-value result of 0.1115.