Given the following data set (transmission.csv) accessible at https://archive.ics.uci.edu/ml/datasets/Blood+Transfusion+Service+Center

Comparing Two Samples:

1. Apply the function "plot" to the formula that relates the response "frequency" to the explanatory variable "march2007" in order to produce the two box-plots of the response. Redo the plotting with "frequency" replaced by "log(frequency)". The distribution of the variable "log(frequency)" is:

__ More symmetric, __ Less symmetric compared to the distribution of the variable "frequency".

Mark the most appropriate option and attach the R code that produces the two plots:

2. Mark the null hypotheses that you reject with a significance level of 5% and those that you do not reject:

(Reject/Don't Reject) H0: The expectation of "frequency" is the same in the two subsets,

(Reject/Don't Reject) H0: The expectation of "log(frequency)" is the same in the two subsets.

Explain your answer:

3. Mark the null hypotheses that you reject with a significance level of 5% and those that you do not reject:

(Reject/Don't Reject) H0: The variance of "frequency" is the same in the two subsets,

(Reject/Don't Reject) H0: The variance of "log(frequency)" is the same in the two subsets.

Explain your answer:

We're using some elementary R in my school, so nothing more serious than t.test or var.test is expected.