What are the criteria for identifying outliers? Some ratio of some other piece of the puzzle?
I don't know lol, thats why I need help
Your course materials or your instruct should give you that information. Opinions vary. Show your work. What do you find in your materials?
Often 1.5 * IQR
One definition of outlier is any data point more than 1.5 interquartile ranges (IQRs) below the first quartile or above the third quartile. Note: The IQR definition given here is widely used but is not the last word in determining whether a given number is an outlier. IQR = 10.5 – 3.5 = 7, so 1.5. IQR = 10.5.
Got this from google
first we need to find the IQR.....which is Q3 - Q1 89.3 - 73.4 = 15.9 to find an outlier : if a date point lies below Q1 - (1.5 * IQR) or above Q3 + (1.5 * IQR) below : 73.4 - (1.5 * 15.9) = 73.4 - 23.85 = 49.55 above 89.3 + (1.5 * 15.9) = 89.3 + 23.85 = 113.15 So if you have data points below 49.55 and above 113.15, then these are your outliers. And if you look at your first number, 4.8 ....it is below 49.55....so yes, there is an outlier