Using the normal distribution and the Empirical Rule (68-95-99.7 Rule), determine the expected upper and lower boundaries of June-to-July (2022) returns for your assigned company's stock. Specifically, between what two values would you expect the June-to-July (2022) monthly stock return to fall with a 95.5% probability? Does the observed monthly return of your stock fall within this range of values? Refer to the summary statistics your team generated as part of Case-1: Stock Prices & Returns and use the July stock price provided in the table below. Date AAPL AMZN FB GOOG MCD MSFT TSLA TWTR WMT July-2022 $138.93 $2,191.20 $160.03 $2, 181.62 $252.96 $259.58 $681.79 $38.23 $122.63