You want to look at the relationship between gender and wages. However, you notice that gender is a categorical variable and wage is a numerical variable. One way to work on two different types of variables is to transform one variable to the type of the other. You decide to generate a categorical variable based on the level of wage, and this categorical variable has two values, "high" and "low". For example, you choose a threshold value for wage, and if a respondent's wage is no less than the threshold value, you enter "high" and enter "low" otherwise. a. Describe in detail how you have decided the threshold value for generating the new categorical variable for the level of wage. Then use an appropriate graph to present this variable. (Hint: you may choose to use an appropriate numerical measure of wage as the threshold value). [6 marks] 6 b. Present these two categorical variables together using an appropriate graph, and then discuss what the graph shows. [4 marks] c. Produce a contingency table to present these two categorical variables. Based on the contingency table, calculate the related (empirical) joint and marginal probabilities. You may find helpful to produce another contingency table to show your calculated probabilities. (Hint: you may need Excel skills -- e.g. use the commands such as "sort" or "countif" to count the relevant frequencies, or use PivotTable function) [8 marks] d. Based on the sample information, calculate the probability of either being a female or getting a low wage level, and calculate the probability of being a female conditional on getting a low wage level [5 marks] e. Examine whether the statement "Males tend to receive high wages than females" is true, false or inconlusive based on the sample information. Explain your response. [