"Handedness" "Sail_Height" "Bluebottle_Length""Right " 0.7 5.4"Left " 0.5 4.3"Left " 0.2 3.9"Left " 1.3 8.7"Right " 0.5 4.5"Left " 1 6.9"Left " 0.6 4.5"Left " 0.2 5.5"Left " 0.4 5.2"Right " 0.5 8.5"Right " 0.1 1.7"Left " 0.3 5.5"Left " 1.3 7.5"Left " 1.4 6.9"Left " 0.4 3.6"Left " 0.6 9.2"Left " 0.6 2.7"Left " 0.4 3.7"Left " 0.5 3.9"Right " 0.6 7"Left " 1 4.3"Left " 0.1 5.2"Left " 0.2 5"Left " 0 2.9"Left " 0.3 4.2"Left " 0.4 4.3"Right " 1 6.7"Right " 0.4 2.2"Left " 0.3 1.5"Left " 0 1.6"Left " 1.5 7.5"Left " 0.6 5.4"Right " 0.7 5.9"Left " 1 5.3"Left " 0.6 5.2"Right " 0.2 7.5"Left " 0 2.2"Left " 0.2 4.3"Right " 0.6 8"Left " 0.3 3"Left " 0.1 3.7"Left " 0.4 3.7"Left " 0.5 5"Left " 0.2 5.1"Left " 0.3 2.6"Left " 0.6 6"Left " 0.3 5.2"Left " 0.7 5"Left " 0.4 2.9"Right " 0.3 3.3"Left " 1 8.7"Left " 0.4 3.1"Right " 1 6.2"Left " 0.6 5.6"Right " 0.6 5.6"Left " 0.7 5.8"Left " 0.9 5.1"Left " 0 4"Left " 0.4 7.2"Left " 0.3 5"Left " 0.3 4.3"Left " 0.4 5.6"Left " 0.7 7.8"Left " 0.7 7"Left " 0.7 6"Left " 0.3 4.9"Right " 0 1"Left " 0.6 4.5"Left " 0.4 4.6"Left " 0.4 2.5

Exploratory data analysis. 2.a. Compute the median and variance [rounded to 2 decimal places) for each of the two quantitative variables in your dataset. Give these values together with the correct units. 2.b. Using the \"LEIQR. rule\"I determine the total number of outliers for each of the 2 quantitative variables separately. (Hint: type ?boxplot to access the manual page which explains how to get the outliers.) Note that you should NOT alter the dataset. 2.1:. What is the proportion of Bluebottles sampled which have a sail height greater than 0.6 cm? 2.d. What is the proportion of Bluebottles sampled which have a sail height greater than 0.6 cm and are longer than 6 cm