Table 1. Summary of data analysis performed on survival of mosquitoes using different treatments.
Source | df | Chi-square | P-value |
Day | 4 | 8.75 | 0.0678 |
Treatment | 2 | 8.05 | 0.0178 |
Day*Treatment | 8 | 9.93 | 0.2697 |
Treatment (Caterpillar vs. Sugar) | 1 | 26.53 | <0.0001 |
Treatment (Caterpillar vs. No Sugar/No caterpillar) | 1 | 50.32 | <0.0001 |
Treatment (Sugar vs. No sugar/No caterpillar) | 1 | 85.76 | <0.0001 |
Assays were done for 10 days. Data fit to a binomial model describing the probability of a mosquito surviving each day. Proc Genmod was used in SAS where Day and Treatment (feeding status) were the main effects. The repeated statement was used to adjust for correlations within replicates. Ward Chi Square statistics were generated. Pairwise comparisons were conservatively adjusted using a Bonferoni correction. Data past day 5 were not included because unfed caterpillars no longer exist. Treatments were significantly different (P<0.05).