1) The file 'Trees.csv' contains diameter measurements (inches) of 7 varieties of trees, labeled 'T1' through 'T7'. Test to see whether the varieties are significantly different. If they are, multiple comparisons to determine which varieties are different. Watch the overall error rate in the multiple comparisons! Don't forget to produce appropriate plots of the data and to check any assumptions.
2) The file 'GenderLikert.csv' contains Likert scale responses to the statement 'Tom Boucher would make a great president,' with 1= 'strongly disagree', 2 = 'disagree', 3 = 'no opinion', 4 = 'agree', and 5 = 'strongly agree'. use this data to test whether males and females differ in respect to their responses. A side by side barplot will help you interprete the results.
> x<-stack(data.frame (males,females))
> barplot (table(x),besides=T)
3) Use the data 'GenderLikert.csv' to test whether the population as a whole is typically indifferent to the statement 'Tom Boucher would make a great president.' Summarize the data with a barplot.
PLEASE IF YOU CANNOT USE R-SOFTWARE, THEN YOU CANNOT HELP ME. THANKS
https://drive.google.com/file/d/0B8dTKE7cvHrrM0E1SHhkY2hhYW8/view?usp=sharing
https://drive.google.com/file/d/0B8dTKE7cvHrrOGx6U2RXeXA0Y1U/view?usp=sharing