In this statistical investigation, data was collected on 65 Langara students and their interest in drinking coffee was investigated. The following 4 variables were collected on these students: age (in years), gender, city (where a student lives), whether or not they drink coffee. This dataset is available in 'MS Excel' format (filename: Assignment2_CoffeeDataset.xlsx) and it can be accessed from Content/Assignments module on our course website. The structure of this dataset is summarized as follows: VARIABLE StudentID Age (in years) COLUMN A B C D E Gender City DrinkCoffee 1. [15 marks] The objective of this exercise is to summarize and describe data for a single categorical variable (this is an example of a univariate analysis of a categorical variable). a) Obtain a numerical summary (report both frequency and percentage) for each of the categorical variables in this dataset (hint: gender, city, and drinkcoffee). [6 marks] b) Obtain a barchart or a piechart (i.e. graphical summary) for each of the categorical variables in this dataset. Make sure each of your graphical summaries has a title and the axes of your graphs are clearly labeled. [6 marks] c) Provide an interpretation for each of these three variables based on your results in parts a) and b). In other words, what do the numerical and graphical summaries tell you about the distributions of each of these variables? [3 marks] 2. [12 marks] The objective of this question is to summarize and describe data for a single quantitative variable (this is an example of univariate analysis of a quantitative variable). a) Obtain a histogram (showing frequency on the y-axis) for the variable 'age'. Make sure your histogram has a title and the axes are clearly labeled. Make sure you do not over-summarize or under- summarize the histogram - use an appropriate number of bins (i.e. classes). [4 marks]