Problem 5: Eleven oak trees(of various species) were randomly selected in Pennsylvania Region and the size...

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Problem 5: Eleven oak trees(of various species) were randomly selected in Pennsylvania Region and the size of their acorn was recorded (in cubic cm). Data: 0.4, 1, 1.1, 2, 2.6, 4.1, 5.5, 5.9, 6.7, 7.1,17.1 NOTE: The upper quartile is 6.7 cubic cm and the lower quartile is 1.1 cubic cm. (Must use these results given as needed for what was asked below) Label, show the math and answer to the following requirements - be as complete in your solution as the class example showed: a) Find Interquartile Range (IQR), as shown in class example ANSWER in format as follows: IQR = show math... = answer (no rounding of course) b) Calculate both fences needed to detect the mild outliers (label each correctly) ANSWER in format as follows: Mild Min. Fence = show math = answer (no rounding of course) Mild Max. Fence = show math = answer (no rounding of course) c) Calculate both fences needed to detect the extreme outliers (label each correctly) Extreme Min. Fence = show math = answer (no rounding of course) Extreme Max. Fence = show math = answer (no rounding of course) d) Identify the result of the mild outlier detection and the extreme outlier detection for this dataset. If NONE of that type, then state "NONE" in the area where you would "list" the outlier values. Mild Outliers (list):_ Extreme Outliers (list): O + Problem 5: Eleven oak trees(of various species) were randomly selected in Pennsylvania Region and the size of their acorn was recorded (in cubic cm). Data: 0.4, 1, 1.1, 2, 2.6, 4.1, 5.5, 5.9, 6.7, 7.1,17.1 NOTE: The upper quartile is 6.7 cubic cm and the lower quartile is 1.1 cubic cm. (Must use these results given as needed for what was asked below) Label, show the math and answer to the following requirements - be as complete in your solution as the class example showed: a) Find Interquartile Range (IQR), as shown in class example ANSWER in format as follows: IQR = show math... = answer (no rounding of course) b) Calculate both fences needed to detect the mild outliers (label each correctly) ANSWER in format as follows: Mild Min. Fence = show math = answer (no rounding of course) Mild Max. Fence = show math = answer (no rounding of course) c) Calculate both fences needed to detect the extreme outliers (label each correctly) Extreme Min. Fence = show math = answer (no rounding of course) Extreme Max. Fence = show math = answer (no rounding of course) d) Identify the result of the mild outlier detection and the extreme outlier detection for this dataset. If NONE of that type, then state "NONE" in the area where you would "list" the outlier values. Mild Outliers (list):_ Extreme Outliers (list): O +