Question: What would the two different Anaylses be. Is what I need help getting and why the results are different Another non-scientists uses the same data
What would the two different Anaylses be. Is what I need help getting and why the results are different

Another non-scientists uses the same data set from the previous problem but tries two different post-hoc techniques after ANOVA. They receive the following output: D Brand diff(number of deaths) lwr upr p-value (Bonferonni) Plysol-Mindex 33 -5 20 0.6425 Plysol-Pinesmell 800 -500 900 0.1769 Plysol-Toilet Bubbles 50 -1 55 0.8647 Plysol-Bleach 60 -28 46 0.4279 Plysol-Wave 20 -66 171 0.3583 Mindex-Pinesmell 65 -5 56 0.3289 Mindex-Toilet Bubbles -80 -36 99 0.294 Mindex-Bleach 40 20 191 0.0012 Mindex-Wave -30 -17 93 0.0705 Pinesmell-Toilet Bubbles 24 -35 173 0.0963 Pinesmell-Bleach 23 -26 76 0.0456 Pinesmell-Wave -1 -100 16 0.3425 Toilet Bubbles-Bleach 0 -1 0.2005 Toilet Bubbles-Wave -40 -29 199 0.594 Bleach-Wave 200 -78 2 0.5254 Brand diff(number of deaths) lwr up p-value (Tukey HSD) Plysol-Mindex 33 -5 20 0.6425 Plysol-Pinesmell 800 -500 900 0.1769 Plysol-Toilet Bubbles 50 -1 55 0.8647 Plysol-Bleach 60 -28 46 0.4279 Plysol-Wave 20 -66 171 0.3583 Mindex-Pinesmell 65 -5 56 0.3289 Mindex-Toilet Bubbles -80 -36 99 0.5903 Mindex-Bleach 40 20 191 0.0013 Mindex-Wave -30 -33 -17 0.0042 Pinesmell-Toilet Bubbles 24 -35 173 0.8367 Pinesmell-Bleach 23 -26 76 0.9224 Pinesmell-Wave -1 -100 16 0.9797 Toilet Bubbles-Bleach 0 -1 0.7286 Toilet Bubbles-Wave -40 -29 199 0.4976 Bleach-Wave 200 -78 2 0.7801 Assume that these results are valid and not a result of type 1 error. You are a real scientist asked to give advice to a political committee about the statistics of this results. Ignoring the dark comedy of this problem, what sort of advice would you give the committee? a) Statement of why the results from two analyses may be different. b) An actionable plan that a politician could understand going forward. What can be done, what needs to still be done, and what is your recommendation, based on the numbers
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