For each part, you need to include your both code and results in a pdf file. For plots, there will be a bonus for using ggplot2, but it is optional. Question: you should report some analysis over a built-in data set "PlantGrowth" in R. To import the data, you can use the command: attach(PlantGrowth) data = PlantGrowth This data set is the results of an experiment to compare yields (as measured by dried weight of plants) obtained under a control and two different treatment conditions. This data set consists of data frame of 30 cases on 2 variables. One variable is weight as a numeric variable, the other one is group as a factor variable. The levels of group are 'ctrl", 'trt1', and 'trt2'. 1- Plot the density of weight. What distribution do you think it has? 2- Use QQ-plot to check whether weight has normal distribution or not. 3- Report the mean and variance of weight. 4- Plot the boxplot of weight versus group. Comment on it. 5- Do the one way ANOVA analysis for weight over group. Explain thoroughly the output and what it means. 6- Check the assumptions of ANOVA, by both visualization and appropriate tests./ The file should include your code outputs and explanations. Please put the snapshot of your code at the end of pdf. It will also be evaluated on the detail of your explanations and your use of extra libraries like "sgplot2" for visualization.
