In this experiment, Grant wanted to know if invertebrate abundance differed spatially across the forest that he was working in. He chose three sites at random across his forest and asked whether there were differences in abundance among these three sites. At each site, he randomly placed ten pitfall traps and counted invertebrates caught in these traps.The data can uploaded directly into RStudio using the code below:# install.packages('RCurl') # uncomment and run this line if RCurl not installedlibrary(RCurl) # makes getURL() function availableu

Identify (i) experimental unit, (ii) explanatory variable and (iii) response variable in this experiment. Select one: a. (i) site, (ii) trap, (iii) invertebrate count of trap b. (i) trap, (ii) site, (iii) average invertebrate count across traps c. (i) site, (ii) trap, (ili) average invertebrate count across traps d. (i) trap, (ii) site, (iii) invertebrate count of trap Check Is this a fixed-effects or random-effects ANOVA? Select one: a. Fixed, because we want to know if there is a difference among the sites. b. Fixed, because each site has a fixed number of traps in it. c. Random, because we are not interested in which sites differ from each other. d. Random, because the pitfall traps have been randomly placed within the sites. CheckTest the data set for the assumptions of ANOVA. Which assumption does not hold for this data set? Select one: a. Independence of data points. b. There is no difference in mean invertebrate abundance among sites. O c. Equality of variances. O d. Normality Check You will need to transform this data set, using the natural log (In) function. Assuming that data have been imported into a dataframe called 'hose', we would do this in R using the following command: hose$ ln. abundance