Question

Hello, I need some help interpreting statistical data. There is an Anova analysis for the moth data as well.

Type of Lure (chemical attractant) Spruce Moth Traps - Response: number of spruce moths found in trap after 48 hours at. Scen 28 19 32 15 13 39 12 42 25 21 ar 35 32 29 16 18 20 37 40 18 28 36 35 39 Factor 1: Location of trap in tree (top branches, middle branches, lower branches, ground) Factor 2: Type of lure in trap (natural scent, sugar, synthetic chemical scent) 21 17 36 38 Steps 1) Data examination & Interaction graphs calculate means for all lures & locations -look at the means and make observations -plot mean for each lure at each location - plot mean tor each location for each lure 27 21 38 32 29 17 12 42 17 31 29 37 18 27 15 29 16 2) Data Data AnalysisAnova: Two-Factor - Note the reqired data strutein Excel - Identify the number of replicates -Choose 95% confidence level - Try selecting only the numerical data -Try selecting A1:D21 & start output at F25 31 34 25 14 16 19 19 14 3) Interpret results We do not reject the null hypothesis for the LOCATION. We accept the null hypothesis for the LURE Mean values of the replicates Nat. Scent 21.4 27.8 32.8 Sugar 25.6 33,4 31.2 Syn. Scent 23.0 31.8 36.0 17 21 19.2

Answer 1

p-value for location of trap (Sample) = 0.00002 < 0.05
hence it is significant

p-value for type of lure (column) = 0.4156 > 0.05
hence it is not significant

p-value fot interation = 0.9322 ,which is also greater than 0.05
hence interaction is not significant