Summary Stats and t-tests In this problem we will study labor market discrimination using the Bertrand and Mulianathan1 data. Bertrand and Mulianathan ran the following random experiment: they submitted a series of identical resumes to companies, but they randomized the name. Some names were what one would consider typically-female, such as "Emily" and others were typically-male, such as "Greg." They then recorded how often an applicant received a call back. Thus, the researchers were able to hold everything else that the hiring coordinators saw fixed except for the gender (they also did this with race). To load this dataset into R, you will need to do three things: 1. Either set your working directory to where you have saved the dataset or save your R file wherever you saved the dataset. Alternatively, you can simply put in the whole path for where the file is when you load the data. 2. Make sure the data frames library is installed and you've called the library. 3. Read in the data set