This week, you are an analyst a a large consulting firm in the internal analytics group. Your team is looking at consultants' expenses, and trying to find a way to get those down using behavioral "nudges". First, you will identify which consultants have expenses in the top 10%. Second, you will analyze the results of a pilot experiment your team has done to try to get expenses down. In that experiment, you sent out emails to top expense-generating consultants letting them know that they had among the highest expenses of any consultants in the company. You recorded their initial daily expenses, their expenses a month after the email, and their expenses 3 months after the email. You would like to know whether the email resulted in the consultants decreasing their expenses, either immediately or over time. Task 1: Determine which consultants in New York City and Chicago are among the top 10% of expense-generators Use the "Expenses NYC and Chicago" data What z-score would 10% of consultants have expenses above? You can find this in Excel or any other way you know how. (Hint: you're looking for the theoretical value here, not anything based on the actual data.) Calculate z-scores